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Artykuły w czasopismach na temat „Classification of threats to transportation security”

Autor: Grafiati

Data publikacji: 3 czerwca 2025

Data aktualizacji: 31 lipca 2025

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Shelke, Renuka Ravikiran. "Active Security Surveillance and Object Detection." International Journal of Information technology and Computer Engineering, no. 45 (August 30, 2024): 38–47. http://dx.doi.org/10.55529/ijitc.45.38.47.

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Active security surveillance and object detection have become crucial components in modern security systems, driven by advancements in computer vision and machine learning. These systems are designed to enhance real-time monitoring and threat detection across various environments, such as public spaces, transportation hubs, and critical infrastructure. Active security surveillance systems continuously scan and analyze video feeds or sensor data to identify potential security threats, unauthorized activities, or anomalies. They employ advanced algorithms for motion detection, facial recognition

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Khan, Yasser, Mazliham Bin Mohd Su’ud, Muhammad Mansoor Alam, Sayed Fayaz Ahmad, Nur Agus Salim, and Nasir Khan. "Architectural Threats to Security and Privacy: A Challenge for Internet of Things (IoT) Applications." Electronics 12, no. 1 (2022): 88. http://dx.doi.org/10.3390/electronics12010088.

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The internet of things (IoT) is one of the growing platforms of the current era that has encircled a large population into its domain, and life appears to be useless without adopting this technology. A significant amount of data is generated from an immense number of smart devices and their allied applications that are constructively utilized to automate our daily life activities. This big data requires fast processing, storage, and safe passage through secure channels to safeguard it from any malicious attacks. In such a situation, security is considered crucial to protect the technological r

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Mashtaliar, Yana, Valerii Kozachok, Zoreslava Brzhevska, and Oleksandr Bohdanov. "RESEARCH OF DEVELOPMENT AND INNOVATION OF CYBER PROTECTION AT CRITICAL INFRASTRUCTURE FACILITIES." Cybersecurity: Education, Science, Technique 2, no. 22 (2023): 156–67. http://dx.doi.org/10.28925/2663-4023.2023.22.156167.

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Critical infrastructure objects — infrastructure objects, systems, their parts and their totality, which are important for the economy, national security and defense, the malfunctioning of which can harm vital national interests. Classification of objects as critical infrastructure is carried out in accordance with the procedure established by the Cabinet of Ministers of Ukraine. The assignment of banks, other entities operating in the financial services markets, state regulation and supervision of the activities of which is carried out by the National Bank of Ukraine, payment organizations, p

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Prokhorova, Viktoriia V., Hanna H. Mykhalchenko, and Mykola P. Budanov. "Classification of Risks in the Aspect of Formation of Organizational and Economic Support for Energy Security Management of Enterprises." Business Inform 7, no. 558 (2024): 449–59. http://dx.doi.org/10.32983/2222-4459-2024-7-449-459.

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The article considers the classification of risks in the context of the formation of organizational and economic support for energy security management of industrial enterprises of the electric power system. The study shows that risks arise at all stages of the energy cycle: from generation to transmission, transportation, distribution, and consumption of energy. The proposed classification of risks provides for their division into production, financial, economic, and informational risks, thus contributing to a detailed analysis and assessment of their impacts on the energy security of enterpr

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Ramadevi, R., N. R. Krishnamoorthy, D. Marshiana, Sujatha Kumaran, and N. Aarthi. "Development of Intrusion Detection System for Security Threats in Internet of Things Using Artificial Neural Network." Journal of Computational and Theoretical Nanoscience 16, no. 8 (2019): 3242–45. http://dx.doi.org/10.1166/jctn.2019.8170.

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Internet of things (IoT) is a revolutionary technology which changes our life and work. Many industry sectors such as manufacturing, transportation, utilities, health care, consumer electronics and automobiles are invested and adopted towards IoT technology. The major inconvenience with IoT is its safety, as it is prone to attack by hackers. Detection Systems are used to detect these intrusions to protect the information and communication systems. Hence it is essential to design an intrusion detection system for security threats of IoT networks. This paper focuses, on the development of Artifi

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Anargya, Muhammad Alden Nayef, Wildanil Ghozi, and Fauzi Adi Rafrastara. "Random Under Sampling for Performance Improvement in Attack Detection on Internet of Vehicles Using Machine Learning." Jurnal Informatika: Jurnal Pengembangan IT 10, no. 1 (2025): 11–19. https://doi.org/10.30591/jpit.v10i1.8034.

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The Internet of Vehicles (IoV) technology is one of the advancements derived from the Internet of Things (IoT) in the transportation sector, benefiting its users. However, the development of this technology cannot be separated from various security threats, particularly Denial of Service (DoS) and spoofing attacks. Given these threats, it is crucial to continuously develop methods used for detecting attacks on IoV systems. Several researchers have conducted research related to attacks and threats on IoV systems, and one such study resulted in a dataset called CICIoV2024. This dataset has an im

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Ibekwe, Unyime Ufok, Uche M. Mbanaso, Nwojo Agwu Nnanna, and Umar Adam Ibrahim. "Navigating the smart contract threat landscape: a systematic review." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 1209. http://dx.doi.org/10.11591/ijeecs.v37.i2.pp1209-1224.

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Smart contracts have emerged as a transformative technology within the blockchain ecosystem, facilitating the automated and trustless execution of agreements. Their adoption spans diverse sectors such as education, agriculture, healthcare, government, real estate, transportation, supply chain, and global initiatives like Central Bank Digital Currencies (CBDCs). However, the security of smart contracts has become a significant concern, as vulnerabilities in their design and implementation can lead to severe consequences such as financial losses and system failures. This systematic review consol

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Unyime, Ufok Ibekwe Uche M. Mbanaso Nwojo Agwu Nnanna Umar Adam Ibrahim. "Navigating the smart contract threat landscape: a systematic review." Indonesian Journal of Electrical Engineering and Computer Science 37, no. 2 (2025): 1209–24. https://doi.org/10.11591/ijeecs.v37.i2.pp1209-1224.

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Smart contracts have emerged as a transformative technology within the blockchain ecosystem, facilitating the automated and trustless execution of agreements. Their adoption spans diverse sectors such as education, agriculture, healthcare, government, real estate, transportation, supply chain, and global initiatives like Central Bank Digital Currencies (CBDCs). However, the security of smart contracts has become a significant concern, as vulnerabilities in their design and implementation can lead to severe consequences such as financial losses and system failures. This systematic review consol

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Ren, Jun. "A Review of Anomalous Behavior Detection in Internet of Vehicles." International Journal of Computer Science and Information Technology 3, no. 1 (2024): 73–81. http://dx.doi.org/10.62051/ijcsit.v3n1.11.

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The intelligent transportation system with the Internet of Vehicles as its core is gradually penetrating into the lives of urban residents, but it has also exposed security threats such as remote control of vehicles and leakage of personal information of car owners. Compared to the security issues at the level of vehicle end devices and vehicle networking service platforms, the article focuses on the security issues of abnormal behavior in vehicle networking. Based on this, the article reviews the relevant research on abnormal behavior detection mechanisms in the Internet of Vehicles environme

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METELKOV, ALEXANDER. "NORTHERN SEA ROUTE: CLASSIFICATION OF EMERGENCY SITUATIONS." Gaps in Russian Legislation 15, no. 2 (2022): 20–30. http://dx.doi.org/10.33693/2072-3164-2022-15-2-020-030.

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The purpose of the work is to study the theoretical problem concerning the completeness of the classification of emergency situations in relation to maritime spaces in the Arctic zone, and to develop on this basis scientific proposals for improving Russian legislation. The relevance of the chosen topic is predetermined by the increasing importance of the Northern Sea Route as a global transport communication in the face of the possibility of occurrence in the Arctic as a result of climate change and anthropogenic impact of events that entail catastrophic environmental consequences, the formati

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Dhar, Argha Chandra, Arna Roy, M. A. H. Akhand, and Md Abdus Samad Kamal. "CascadMLIDS: A Cascaded Machine Learning Framework for Intrusion Detection System in VANET." Electronics 12, no. 18 (2023): 3779. http://dx.doi.org/10.3390/electronics12183779.

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Vehicular ad hoc networks (VANETs) incorporating vehicles as an active and fast topology are gaining popularity as wireless communication means in intelligent transportation systems (ITSs). The cybersecurity issue in VANETs has drawn attention due to the potential security threats these networks face. An effective cybersecurity measure is essential as security threats impact the overall system, from business disruptions to data corruption, theft, exposure, and unauthorized network access. Intrusion detection systems (IDSs) are popular cybersecurity measures that detect intrusive behavior in a

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Guerrero-Ibáñez, J. A., and J. Contreras-Castillo. "Vehicular Communication Network Environments." International Journal of Vehicular Telematics and Infotainment Systems 1, no. 2 (2017): 24–45. http://dx.doi.org/10.4018/ijvtis.2017070103.

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Modern society is facing serious problems with the transportation systems given the increase in traffic jams, accidents, fatalities and CO2 emissions. Thus, improving the safety and efficiency of transportation systems is imperative. Developing a sustainable transportation system requires a better usage of the existing infrastructure, the adoption of emerging technologies (e.g. embedded devices, sensors and short-range radio transmitters) and the development of applications capable of operating in wireless and spontaneous networks. In this paper, the authors give readers a global vision of the

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Tariq, Usman. "Optimized Feature Selection for DDoS Attack Recognition and Mitigation in SD-VANETs." World Electric Vehicle Journal 15, no. 9 (2024): 395. http://dx.doi.org/10.3390/wevj15090395.

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Vehicular Ad-Hoc Networks (VANETs) are pivotal to the advancement of intelligent transportation systems (ITS), enhancing safety and efficiency on the road through secure communication networks. However, the integrity of these systems is severely threatened by Distributed Denial-of-Service (DDoS) attacks, which can disrupt the transmission of safety-critical messages and put lives at risk. This research paper focuses on developing robust detection methods and countermeasures to mitigate the impact of DDoS attacks in VANETs. Utilizing a combination of statistical analysis and machine learning te

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Mityakov, Evgeny. "Digital Twins as an Object and Tool of Information Security." Telecom IT 12, no. 4 (2024): 1–12. https://doi.org/10.31854/2307-1303-2024-12-4-1-12.

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Problem Statement. In the context of rapid digitalization of the economy and public administration, ensuring the information security (IS) of critical information infrastructure (CII) has become an increasingly urgent task. CII includes facilities that play a key role in the functioning of vital sectors of society such as energy, transportation, healthcare, industry, and others. As these systems grow in complexity, the need arises for advanced technologies to ensure their protection. One such tool is the use of digital twins (DTs), which enable the modeling of threats and the testing of securi

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Mezouaghi, Djilali, and Adda Mellah. "AI AS AN APPROACH TO ANALYZING UBER'S BUSINESS ENVIRONMENT IN THE TRANSPORTATION SERVICES SECTOR." Innovative economics and management 12, no. 1 (2025): 64–76. https://doi.org/10.46361/2449-2604.12.1.2025.64-76.

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Djilali Mezouaghi E-mail: djilali.mezouaghi@univ-relizane.dz Associate Professor "B", PhD University of Relizane Relizane, Algeria https://orcid.org/0009-0003-5827-4338 Adda Mellah E-mail: adda.mellah@univ-relizane.dz Associate Professor "A", PhD University of Relizane Relizane, Algeria https://orcid.org/0000-0002-6417-0418 Abstract: This study aimed to analyze the business environment of organizations that use artificial intelligence in the service industry through a SWOT analysis of Uber's global environment. The findings concluded that the company relies on artificial intelligence technique

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Karim, Sulaiman M., Adib Habbal, Shehzad Ashraf Chaudhry, and Azeem Irshad. "Architecture, Protocols, and Security in IoV: Taxonomy, Analysis, Challenges, and Solutions." Security and Communication Networks 2022 (October 11, 2022): 1–19. http://dx.doi.org/10.1155/2022/1131479.

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Internet of Vehicles (IoV) is a multinode network that exchanges information in an open, wireless environment. Various communication activities exist between IoV entities to share important information such as (ID, location, speed, messages, and traffic information), necessary for network operation. As part of intelligent transportation, IoV is considered a hot subject for researchers, because it is still facing many unresolved challenges, especially those concerning security and privacy. The variation of security-privacy threats that can menace the safety, privacy, and lives of vehicle occupa

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Alotaibi, Nouf Saeed, Hassan I. Sayed Ahmed, Samah Osama M. Kamel, and Ghada Farouk ElKabbany. "Secure Enhancement for MQTT Protocol Using Distributed Machine Learning Framework." Sensors 24, no. 5 (2024): 1638. http://dx.doi.org/10.3390/s24051638.

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The Message Queuing Telemetry Transport (MQTT) protocol stands out as one of the foremost and widely recognized messaging protocols in the field. It is often used to transfer and manage data between devices and is extensively employed for applications ranging from smart homes and industrial automation to healthcare and transportation systems. However, it lacks built-in security features, thereby making it vulnerable to many types of attacks such as man-in-the-middle (MitM), buffer overflow, pre-shared key, brute force authentication, malformed data, distributed denial-of-service (DDoS) attacks

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Bhat, Showkat Ahmad, Nen-Fu Huang, Ishfaq Bashir Sofi, and Muhammad Sultan. "Agriculture-Food Supply Chain Management Based on Blockchain and IoT: A Narrative on Enterprise Blockchain Interoperability." Agriculture 12, no. 1 (2021): 40. http://dx.doi.org/10.3390/agriculture12010040.

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Modern-day agriculture supply chains have evolved from sovereign and autonomous local stakeholders to a worldwide interconnected system of multiple participants linked by complicated interactions, impacting the production, processing, transportation, and delivery of food to end consumers. Regular instances of fraudulent acts reveal a lack of openness in agriculture supply chains, raising worries about financial losses, eroding customer trust, and lowering corporate brand value. To develop an efficient and reliable trading environment, several fundamental modifications in the present supply cha

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Lengyel, Henrietta, Viktor Remeli, and Zsolt Szalay. "A collection of easily deployable adversarial traffic sign stickers." at - Automatisierungstechnik 69, no. 6 (2021): 511–23. http://dx.doi.org/10.1515/auto-2020-0115.

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Abstract The emergence of new autonomous driving systems and functions – in particular, systems that base their decisions on the output of machine learning subsystems responsible for environment perception – brings a significant change in the risks to the safety and security of transportation. These kinds of Advanced Driver Assistance Systems are vulnerable to new types of malicious attacks, and their properties are often not well understood. This paper demonstrates the theoretical and practical possibility of deliberate physical adversarial attacks against deep learning perception systems in

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Islam, Md Tawfiqul. "A QUANTITATIVE ASSESSMENT OF SECURE NEURAL NETWORK ARCHITECTURES FOR FAULT DETECTION IN INDUSTRIAL CONTROL SYSTEMS." Review of Applied Science and Technology 02, no. 04 (2023): 01–24. https://doi.org/10.63125/3m7gbs97.

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Industrial Control Systems (ICS) form the core infrastructure for critical sectors such as energy, water, manufacturing, and transportation, yet their increasing digital interconnectivity has exposed them to complex fault dynamics and sophisticated cyber-physical threats. Traditional fault detection mechanisms—whether rule-based or model-driven—often fail to cope with the nonlinearity, high dimensionality, and adversarial vulnerabilities prevalent in modern ICS environments. To address these limitations, this study conducts a comprehensive quantitative evaluation of secure neural network archi

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Laxmi Lydia, E., Chukka Santhaiah, Mohammed Altaf Ahmed, K. Vijaya Kumar, Gyanendra Prasad Joshi, and Woong Cho. "An equilibrium optimizer with deep recurrent neural networks enabled intrusion detection in secure cyber-physical systems." AIMS Mathematics 9, no. 5 (2024): 11718–34. http://dx.doi.org/10.3934/math.2024574.

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<abstract> <p>Cyber-physical systems (CPSs) are characterized by their integration of physical processes with computational and communication components. These systems are utilized in various critical infrastructure sectors, including energy, healthcare, transportation, and manufacturing, making them attractive targets for cyberattacks. Intrusion detection system (IDS) has played a pivotal role in identifying and mitigating cyber threats in CPS environments. Intrusion detection in secure CPSs is a critical component of ensuring the integrity, availability, and safety of these syste

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Zhang, Yu, Lingfei Wang, Chenghao Zhang, and Jin Li. "Adversarial Examples in Visual Object Tracking in Satellite Videos: Cross-Frame Momentum Accumulation for Adversarial Examples Generation." Remote Sensing 15, no. 13 (2023): 3240. http://dx.doi.org/10.3390/rs15133240.

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The visual object tracking technology of remote sensing images has important applications in areas with high safety performance such as national defense, homeland security, and intelligent transportation in smart cities. However, previous research demonstrates that adversarial examples pose a significant threat to remote sensing imagery. This article first explores the impact of adversarial examples in the field of visual object tracking in remote sensing imagery. We design a classification- and regression-based loss function for the popular Siamese RPN series of visual object tracking models

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Chuchaev, Alexandr, Yulia Gracheva, and Sergey Malikov. "Attacks on the Information System of Unmanned Vehicles in the Etiology of Road Accidents." Russian Journal of Criminology 15, no. 1 (2021): 55–67. http://dx.doi.org/10.17150/2500-4255.2021.15(1).55-67.

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Highly automated vehicles (HAVs) integrate numerous technologies that provide safe and efficient transportation without a driver. Connecting mechanisms ensure communication between vehicles and their infrastructure, and the exchange of data, such as the positioning of the vehicle, its speed, etc. The purpose of each of these functions is to support further automation, which turns a driver from a road user into an observer-controller by transferring to technologies those functions that were earlier performed by people. The automation of control is achieved through a constant analysis of the env

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Kapalidis, Chronis, Stavros Karamperidis, Tim Watson, and Georgios Koligiannis. "A Vulnerability Centric System of Systems Analysis on the Maritime Transportation Sector Most Valuable Assets: Recommendations for Port Facilities and Ships." Journal of Marine Science and Engineering 10, no. 10 (2022): 1486. http://dx.doi.org/10.3390/jmse10101486.

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The maritime sector is a vital component of the global economy. Its international nature supersedes state boundaries and any disruption in its operations could have consequent and collateral global effects, affecting the socio-economic wellbeing of regions, states and peoples. The increasing adoption of digitalisation in the sector, primarily increases efficiency, minimize cost and maximise benefit, while improving safety, simultaneously introduces a new cyber threat landscape. The attack surface has broadened further due to the COVID-19 pandemic, as recent, high-profile cyber attacks to shipp

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Bajwa, Ammar, Aleem Al Razee Tonoy, Sohel Rana, and Ishtiaque Ahmed. "CYBERSECURITY IN INDUSTRIAL CONTROL SYSTEMS: A SYSTEMATIC LITERATURE REVIEW ON AI-BASED THREAT DETECTION FOR SCADA AND IOT NETWORKS." ASRC Procedia: Global Perspectives in Science and Scholarship 01, no. 01 (2025): 01–15. https://doi.org/10.63125/1cr1kj17.

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The increasing integration of Industrial Control Systems (ICS) with Internet of Things (IoT) technologies and Supervisory Control and Data Acquisition (SCADA) networks has brought unparalleled efficiency and automation to critical infrastructure sectors, including energy, water, manufacturing, and transportation. However, this digital convergence has also significantly expanded the cyber threat landscape, making ICS more vulnerable to sophisticated cyberattacks. This systematic literature review critically examines the role of Artificial Intelligence (AI)-based techniques in enhancing threat d

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Alsaade, Fawaz Waselallah, and Mosleh Hmoud Al-Adhaileh. "Cyber Attack Detection for Self-Driving Vehicle Networks Using Deep Autoencoder Algorithms." Sensors 23, no. 8 (2023): 4086. http://dx.doi.org/10.3390/s23084086.

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Connected and autonomous vehicles (CAVs) present exciting opportunities for the improvement of both the mobility of people and the efficiency of transportation systems. The small computers in autonomous vehicles (CAVs) are referred to as electronic control units (ECUs) and are often perceived as being a component of a broader cyber–physical system. Subsystems of ECUs are often networked together via a variety of in-vehicle networks (IVNs) so that data may be exchanged, and the vehicle can operate more efficiently. The purpose of this work is to explore the use of machine learning and deep lear

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Farooqi, Ashfaq Hussain, Shahzaib Akhtar, Hameedur Rahman, Touseef Sadiq, and Waseem Abbass. "Enhancing Network Intrusion Detection Using an Ensemble Voting Classifier for Internet of Things." Sensors 24, no. 1 (2023): 127. http://dx.doi.org/10.3390/s24010127.

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In the context of 6G technology, the Internet of Everything aims to create a vast network that connects both humans and devices across multiple dimensions. The integration of smart healthcare, agriculture, transportation, and homes is incredibly appealing, as it allows people to effortlessly control their environment through touch or voice commands. Consequently, with the increase in Internet connectivity, the security risk also rises. However, the future is centered on a six-fold increase in connectivity, necessitating the development of stronger security measures to handle the rapidly expand

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Knyazkina, Olga V., Renat M. Khamitov, Oksana P. Chernikova, and Yulia A. Zlatitskaya. "CYBER SECURITY IN TRANSPORTATION." International Journal of Advanced Studies 14, no. 4 (2024): 29–45. https://doi.org/10.12731/2227-930x-2024-14-4-308.

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The fast pace of scientific and technological progress in terms of informatisation and digitalisation of society entails the risk of increasing cyber threats, which pose a serious problem for organisations, as the pace of development of digital and information technologies significantly outstrips the pace of development of tools to protect them. The article describes the relevance of cyber security issues in the transport sector, provides a conceptual framework of cyber security and the main types of cyber attacks. The statistics of cyber threats in transport in 2023 compared to 2022 is studie

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Almedires, Motaz Abdulaziz, Ahmed Elkhalil, and Mohammed Amin. "Adversarial Attack Detection in Industrial Control Systems Using LSTM-Based Intrusion Detection and Black-Box Defense Strategies." Journal of Cyber Security and Risk Auditing 2025, no. 3 (2025): 4–22. https://doi.org/10.63180/jcsra.thestap.2025.3.2.

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In industrial control systems (ICS), neural networks are increasingly being utilized to detect intrusions. The term ICS refers to a group of controlling technology and associated equipment that includes the devices, systems, networks, and controllers that are used to manage and/or execute manufacturing processes. Each ICS is developed to successfully handle work digitally and operates differently depending on the business. ICS devices and procedures are now found in practically every industry sector and key infrastructure, including production, transportation, power, and treatment plants. To a

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Mikhalevich, I. F. "Conceptual problems of transportation security of intelligent water transportation systems." Dependability 24, no. 2 (2024): 72–87. http://dx.doi.org/10.21683/1729-2646-2024-24-2-72-87.

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Aim. Autonomous and remote-controlled surface sea vessel (ASSV) and unmanned inland water vessels (UIWV) are entering the waterways. The infrastructure of waterways is becoming intelligent. The intellectual level of sea and river ports, port terminals, and harbours is improving. Large-scale deployment of information technologies, automated control, automatic control, and artificial intelligence has significantly expanded the landscape of transportation security threats to water intelligent transportation systems (ITS) and now includes non-physical threats. The evolving threat landscape require

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ZOLOTAR, O., and I. TRUBIN. "Classification of threats to information security." INFORMATION AND LAW, no. 3(9) (October 31, 2013): 105–12. http://dx.doi.org/10.37750/2616-6798.2013.3(9).272386.

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Arenova, L. K. "Forms of interaction between state and law enforcement agencies on the use of information on countering the financing of weapons of mass destruction." Bulletin of the Karaganda University “Law Series” 98, no. 2 (2020): 91–101. http://dx.doi.org/10.31489/2020l2/91-101.

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The relevance of research. The relevance of the problem under study is due to the need to develop a national concept for the control of weapons of mass destruction, taking into account national legislation, in order to develop a mechanism for monitoring activities in the field of trafficking in weapons of mass destruction, as well as measures to counter the merging with terrorist and religious extremist activities. Currently, financing of weapons of mass destruction poses a potential and real danger to the national security of the Republic of Kazakhstan, as well as the EAG countries. This is d

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Beck, Kate. "Smart Security?" Transportation Research Record: Journal of the Transportation Research Board 2604, no. 1 (2017): 37–43. http://dx.doi.org/10.3141/2604-05.

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Smart city initiatives, which involve the connection and automation of city systems and services through the use of information and communication technology, offer significant opportunities to improve efficiency and address many environmental, economic, and social issues faced by U.S. cities. However, as systems become increasingly connected and automated, these systems and the people whom they serve become more vulnerable to an array of security threats, including cybersecurity attacks and attacks on the physical infrastructure and human lives. This paper focuses on how U.S. cities plan to mi

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SARATHY, RAVI. "Security and the Global Supply Chain." Transportation Journal 45, no. 4 (2006): 28–51. http://dx.doi.org/10.2307/20713653.

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Abstract This article examines implications for global supply chains posed by security threats in the U.S. and elsewhere, and identifies actions for addressing those threats. The principal goal is to design security into the supply chain rather than seek to mitigate consequences after the fact. Redesigning supply chains to make them robust and resilient can help avoid and mitigate the impact of disruptions, whether from security breaches or other causes. Such efforts require collaborations with partners across the supply chains and with governments. The short-term costs of such security measur

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SARATHY, RAVI. "Security and the Global Supply Chain." Transportation Journal 45, no. 4 (2006): 28–51. http://dx.doi.org/10.5325/transportationj.45.4.0028.

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Abstract This article examines implications for global supply chains posed by security threats in the U.S. and elsewhere, and identifies actions for addressing those threats. The principal goal is to design security into the supply chain rather than seek to mitigate consequences after the fact. Redesigning supply chains to make them robust and resilient can help avoid and mitigate the impact of disruptions, whether from security breaches or other causes. Such efforts require collaborations with partners across the supply chains and with governments. The short-term costs of such security measur

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Telegina, E., and O. Yekimova. "Problems of law enforcement practice in matters of qualification of crimes against traffic safety and transport operation." Bulletin of Science and Practice, no. 6 (June 14, 2017): 276–85. https://doi.org/10.5281/zenodo.808837.

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Currently, significantly changed the nature of the transport system of the country, new types of transport, and as a result of the threat of accidents significantly transformed. The given circumstances testify to the fact that the study of issues of qualification of crimes against traffic safety and operation of transport is more fundamental. Russian criminal legislation has undergone a number of changes and additions that meet the modern requirements of the safe functioning of transport. The legislator added new types of traffic offences, however, many problems of law enforcement practice in

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Aliiaskarova, M. U. "CLASSIFICATION OF THREATS TO PERSONAL INFORMATION SECURITY." Vestnik of the Kyrgyz-Russian Slavic University 22, no. 7 (2022): 64–69. http://dx.doi.org/10.36979/1694-500x-2022-22-7-64-69.

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Jouini, Mouna, Latifa Ben Arfa Rabai, and Anis Ben Aissa. "Classification of Security Threats in Information Systems." Procedia Computer Science 32 (2014): 489–96. http://dx.doi.org/10.1016/j.procs.2014.05.452.

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Biehun, Anatolii, Olha Osypova, Maksym Plakhtii, and Oleksandr Urdenko. "The analysis of external and internal threats of electronic ticket functioning at entertainment events." Modeling and Information Systems in Economics, no. 101 (December 1, 2021): 20–31. https://doi.org/10.33111/mise.101.3.

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E-ticketing activities are fully inherent in both traditional business threats and e-commerce threats posed by e-business technologies and the widespread use of computer and telecommunications technology. Threats in the sale of electronic tickets arise at almost all stages of activity and affect the interests of both sellers and buyers. Therefore, the need for comprehensive measures to identify and monitor threats is obvious to companies engaged in the sale of electronic tickets. The solution to the problem of counteracting the security threats of enterprises engaged in the sale of electronic

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Rowshan, Shahed, William C. Sauntry, Thomas M. Wood, Bruce Churchill, and Steve R. Levine. "Reducing Security Risk for Transportation Management Centers." Transportation Research Record: Journal of the Transportation Research Board 1938, no. 1 (2005): 17–24. http://dx.doi.org/10.1177/0361198105193800103.

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Transportation management centers (TMCs) make an important difference in the lives of commuters around the country every day. Various types of threats could damage or destroy a TMC's ability to operate. These threats range from rare but devastating terrorist attacks to the more frequent and troublesome utility failures and severe weather conditions. The TMC risk assessment methodology (RAM) introduced in this paper is based on the best practices of several proven RAMs. Its components include asset identification, threat assessment, consequence assessment, vulnerability assessment, and counterm

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Сергій Риндін-Баранов. "THREATS TO THE ENTERPRISE'S ECONOMIC SECURITY: CLASSIFICATION BY TYPES AND METHODS OF FORMATION." Bulletin of the National Technical University "Kharkiv Polytechnic Institute" (economic sciences), no. 1 (December 28, 2021): 55–58. http://dx.doi.org/10.20998/2519-4461.2020.1.55.

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The article analyzes the economic essence of such an important component for any enterprise as economic security. The importance of protecting the enterprise from all sorts of threats, as well as the need for their constant monitoring, is substantiated. The need to ensure the economic security of the enterprise is determined not only at the enterprise level, but also at the state security level. Two main approaches to the definition of the concept of "economic security" were identified, on the basis of which a definition was given of the concept of "economic security of the enterprise" in mode

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Kopczewski, Marian, Zbigniew Ciekanowski, Julia Nowicka, and Katarzyna Bakalarczyk-Burakowska. "Security threats in cyberspace." Scientific Journal of the Military University of Land Forces 205, no. 3 (2022): 415–26. http://dx.doi.org/10.5604/01.3001.0016.0040.

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The article is an attempt to highlight the main types of security threats in cyberspace. As literature provides a multitude of different approaches, standards, methodologies, and proposals for the classification of threats, the article focuses on threats to privacy and national ICT security. Cyberspace is subject to increasingly sophisticated and targeted threats, while our growing reliance on cyberspace exposes our privacy to risks, giving rise to new and significant security gaps. Due to its specific characteristics, it generates serious threats to individuals as well as to national and inte

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Smalii, O. B. "A general description of threats to european security at the threshold of the 21st century." Legal horizons, no. 21 (2020): 148–52. http://dx.doi.org/10.21272/legalhorizons.2020.i21.p148.

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Over time, the issue of security has not lost its relevance, but on the contrary gained momentum because of the large-scale threats that have arisen and evolve. In today's world, there are threats that are beyond the control of a particular country and, for the sake of security, begin to pool their forces and resources. The author reveals the particularities of threats to European collective security in the 21st century. The article identifies threats based on doctrinal approaches. The threat is a set of factors and conditions that could potentially pose a danger to the state in the future. Th

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Yevseiev, Serhii, Khazail Rzayev, Tamilla Mammadova, Firuz Samedov, and Nataliia Romashchenko. "CLASSIFICATION OF CYBER CRUISE OF INFORMATIONAL RESOURCES OF AUTOMATED BANKING SYSTEMS." Cybersecurity: Education, Science, Technique, no. 2 (2018): 47–67. http://dx.doi.org/10.28925/2663-4023.2018.2.4767.

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The modern development of high technologies and computer technology greatly enhanced the development of automated banking systems of banking sector organizations and allowed the synthesis of information and communication technologies for their formation. However, the era of high technology has increased the range of threats to banking information resources; threats have gained signs of hybridity and synergy. In these conditions, the current issue in shaping the information security management system in banking sector organizations is the formation and analysis of modern threats. In order to ge

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Srinivasu, N., O. Sree Priyanka, M. Prudhvi, and G. Meghana. "Multilevel classification of security threats in cloud computing." International Journal of Engineering & Technology 7, no. 1.5 (2017): 253. http://dx.doi.org/10.14419/ijet.v7i1.5.9157.

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Cloud Security was provided for the services such as storage, network, applications and software through internet. The Security was given at each layer (Saas, Paas, and Iaas), in each layer, there are some security threats which became the major problem in cloud computing. In Saas, the security issues are mainly present in Web Application services and this issue can be overcome by web application scanners and service level agreement(SLA). In Paas, the major problem is Data Transmission. During transmission of data, some data may be lost or modified. The PaaS environment accomplishes proficienc

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Юсупова, М. Г. Г., and К. П. Дайтиева. "Characteristics and classification of threats to the economic security of an economic entity." Экономика и предпринимательство, no. 8(133) (November 16, 2021): 955–58. http://dx.doi.org/10.34925/eip.2021.133.8.181.

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В статье исследуются различные понятия угроз экономической безопасности хозяйствующего субъекта. Рассмотрены подходы к определению сущности угроз экономической безопасности. Проанализированы и охарактеризованы типы и виды угроз экономической безопасности хозяйствующего субъекта. Даны рекомендации по нейтрализации и управлению угроз экономической безопасности предприятия. The article examines various concepts of threats to the economic security of an economic entity. The approaches to determining the essence of threats to economic security are considered. The types and typesof threats to the ec

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Eder, Aaron. "After September 11, 2001." Transportation Research Record: Journal of the Transportation Research Board 1927, no. 1 (2005): 92–100. http://dx.doi.org/10.1177/0361198105192700111.

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On September 11, 2001 (9/11), terrorists turned commercial aircraft into missiles and directed them toward high-rise and federal buildings, striking the World Trade Center and the Pentagon. After this tragic event, Congress's attention was naturally focused on airport security, and for good reason: the attacks happened via the aviation system. Yet an equivalent amount of attention was not given to the nation's public transportation system. To address this issue, the FTA, an organization within the U.S. Department of Transportation, began an ambitious five-part security initiative to improve th

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MATIICHUK, Liubomyr, Oksana NOVOSAD, Olena PAVLOVA, and Mykhailo KORYTKO. "THREATS TO ENERGY SECURITY OF UKRAINE: IDENTIFICATION OF MEASUREMENT AND DIRECTIONS OF ELIMINATION." Ukrainian Journal of Applied Economics and Technology 7, no. 1 (2021): 10–19. http://dx.doi.org/10.36887/2415-8453-2022-1-1.

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The article considers the reasons for the origin of threats and risks to the country's energy security system. Existing and potential threats at the macroeconomic, microeconomic, and mesoeconomics levels are systematized. The main negative trends that threaten the electricity industry, gas transportation, and gas distribution activities, coal and oil industries are traced. The essential understanding of threats as categories is argued based on the existing interpretations of scientists. The proposed definition of “energy security threat” is based on a rethinking of government and market levers

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Almanasir, Rasha, Deyaa Al-solomon, Saif Indrawes, Mohammed Amin Almaiah, Umar Islam, and Marwan Alshar'e. "Classification of threats and countermeasures of cloud computing." Journal of Cyber Security and Risk Auditing 2025, no. 2 (2025): 27–42. https://doi.org/10.63180/jcsra.thestap.2025.2.3.

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This article focuses on the study of cloud computing, it’s various models, and cloud service types such as SaaS, PaaS, and IaaS. It emphasizes the security challenges and cyber threats associated with cloud environments, while also proposing methods and solutions to protect these systems. The study underlines the advantages of cloud computing in offering rapid, cost-effective access to technology and services, but also points out the vulnerabilities of multi-tenant architectures and the need for robust security measures to address these risks. Additionally, the article presents a detailed anal

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Nikulin, R. Yu. "CLASSIFICATION OF THREATS TO THE ECONOMIC SECURITY OF AN ENTERPRISE." Business Strategies 10, no. 7 (2022): 167–71. http://dx.doi.org/10.17747/2311-7184-2022-7-167-171.

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The article examines the main potential internal threats to the economic security of enterprises. The classification of threats from different areas of companies is given, based on the opinions of various authors. Different views and conclusions were studied, as well as a general conclusion was made and, based on the results of the analysis, an information table was compiled with all potential threats to economic security.

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