Academic literature on the topic 'Cloud security attacks'

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Journal articles on the topic "Cloud security attacks"

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Jimmy, FNU. "Cyber security Vulnerabilities and Remediation Through Cloud Security Tools." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 2, no. 1 (2024): 129–71. http://dx.doi.org/10.60087/jaigs.v2i1.102.

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The proliferation of internet usage has surged dramatically, prompting individuals and businesses to conduct myriad transactions online rather than in physical spaces. The onset of the COVID-19 pandemic has further propelled this trend. Consequently, traditional forms of crime have migrated to the digital realm alongside the widespread adoption of digital technologies such as cloud computing, the Internet of Things (IoT), social media, wireless communication, and crypto currencies, amplifying security concerns in cyberspace. Notably, cybercriminals have begun offering cyber attacks as a servic
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Jimmy, FNU. "Cyber security Vulnerabilities and Remediation Through Cloud Security Tools." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 3, no. 1 (2024): 196–233. http://dx.doi.org/10.60087/jaigs.vol03.issue01.p233.

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The proliferation of internet usage has surged dramatically, prompting individuals and businesses to conduct myriad transactions online rather than in physical spaces. The onset of the COVID-19 pandemic has further propelled this trend. Consequently, traditional forms of crime have migrated to the digital realm alongside the widespread adoption of digital technologies such as cloud computing, the Internet of Things (IoT), social media, wireless communication, and crypto currencies, amplifying security concerns in cyberspace. Notably, cybercriminals have begun offering cyber attacks as a servic
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Jimmy, Fnu. "Cyber security Vulnerabilities and Remediation Through Cloud Security Tools." Journal of Artificial Intelligence General science (JAIGS) ISSN:3006-4023 3, no. 1 (2024): 196–233. http://dx.doi.org/10.60087/jaigs.vol03.issue01.p234.

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The proliferation of internet usage has surged dramatically, prompting individuals and businesses to conduct myriad transactions online rather than in physical spaces. The onset of the COVID-19 pandemic has further propelled this trend. Consequently, traditional forms of crime have migrated to the digital realm alongside the widespread adoption of digital technologies such as cloud computing, the Internet of Things (IoT), social media, wireless communication, and crypto currencies, amplifying security concerns in cyberspace. Notably, cybercriminals have begun offering cyber attacks as a servic
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Choubey, Ravi. "Machine Learning Algorithms for Cloud Computing Security: A Review." Tuijin Jishu/Journal of Propulsion Technology 44, no. 4 (2023): 7372–75. http://dx.doi.org/10.52783/tjjpt.v44.i4.2564.

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: Cloud computing has revolutionized the way businesses and individuals access and manage IT resources. However, cloud computing also introduces new security challenges. Cloud-based systems are often more complex and distributed than traditional on-premises systems, making them more vulnerable to attack.Machine learning (ML) is a powerful tool that can be used to analyze cloud computing attacks and improve cloud security. ML algorithms can be trained on large datasets of attack data to learn the patterns and characteristics of different types of attacks. Once trained, ML models can be used to
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Subramaniam.T.K and Deepa.B. "SECURITY ATTACK ISSUES AND MITIGATION TECHNIQUES IN CLOUD COMPUTING ENVIRONMENTS." SECURITY ATTACK ISSUES AND MITIGATION TECHNIQUES IN CLOUD COMPUTING ENVIRONMENTS 7, no. 1 (2022): 11. https://doi.org/10.5281/zenodo.6700029.

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In computer networks attacks plays a vital role. It also degrades a cloud services nowadays. The attacks reduce the quality of services in the computer networks as well as cloud platforms. The attack that makes services engaged to the intended users. For effective use of cloud computing we need to reduce the attacks vulnerabilities and improve the security. This study discuss about the different types of attacks that affects the cloud environments and also possible mitigation techniques to reduce the attacks. Issue mitigation
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Jadhav, Aarti Bharat, Prof. Pallavi P. Rane, Prof. Nilesh N. Shingne, and Prof. Pravin S. Rane. "A Systematic Strategy Flow on Identification of Credit Card Fraud Detection from Banker Side using Machine Learning." International Journal of Ingenious Research, Invention and Development (IJIRID) 3, no. 6 (2025): 639–45. https://doi.org/10.5281/zenodo.14808292.

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<em>Cloud computing has revolutionized IT infrastructure, offering on-demand access to computing resources. However, cloud environments are susceptible to various security threats. This paper presents a comprehensive review of simulation techniques for evaluating the impact of attacks on cloud environments. We discuss different attack types, simulation tools, and key metrics for assessing security posture. Additionally, we propose a comprehensive framework for simulating attacks on cloud environments, combining existing approaches and addressing their limitations. This framework can guide rese
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Adi, Maheswara Reddy G. 1. Dr K. Venkata Rao2 Dr JVR Murthy3. "AN EFFECTIVE AND SECURED TECHNIQUE FOR SIDE-CHANNEL ATTACKS IN CLOUD." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 11 (2017): 226–33. https://doi.org/10.5281/zenodo.1049426.

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Nowadays in cloud based business services have risks of side channel attacks. Cache-based side channel attack, cross-VM side channel attacks are the serious threat and security pitfall under same cloud network services. In order to provide more security and less infrastructure investment leads to challenging task. In this paper, the discussions on various levels of attacks on VM ware based solution under same cloud network computing, vulnerabilities to other cloud services, security weakness and counter measures in cryptographic algorithms.
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Et. al., Leelavathy S,. "A Secure Methodology to Detect and Prevent Ddos and Sql Injection Attacks." Turkish Journal of Computer and Mathematics Education (TURCOMAT) 12, no. 2 (2021): 341–46. http://dx.doi.org/10.17762/turcomat.v12i2.722.

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As most of the applications host on cloud, Security is a major concern for the data owners. The cloud environment has to be secure and protect data owner data from cloud attacks. In this project work, we study about securing firewall against client side attacks namely Denial of firewall and SQL injection attacks. Denial of firewall is nothing but overloading the firewall by bursting n number of requests through vulnerable scripts. SQL injection attack is defined as bypassing the security protocols by malicious scripts. Thus we proposed to design and develop a web application to detect and prev
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MOTUPALLI, RAVI KANTH. "Augmenting The Cloud Environment Security Through Blockchain Based Hash Algorithms." Journal of Computer Sciences Institute 26 (March 30, 2023): 1–6. http://dx.doi.org/10.35784/jcsi.3064.

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Many techniques and algorithms are developed to enhance the security in the cloud environment. This helps the users to secure their server from malicious attacks. Hence the study and investigation of the performance enhanced security algorithms is a must demanded field in the research industry. When large number users using same server to store their information in cloud environment security is a must needed component to preserve the privacy and confidentiality of every individual user. This can be further strengthened by detecting the attacks in earlier stages and taking countermeasure to pre
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R K, Monika, and Ravikumar K. "PROTECTING VIRTUALIZED INFRASTRUCTURES IN CLOUD COMPUTING BASED ON BIG DATA SECURITY ANALYTICS." ICTACT Journal on Soft Computing 11, no. 2 (2021): 2306–15. https://doi.org/10.21917/ijsc.2021.0330.

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Virtualized infrastructure in cloud computing has become an attractive target for cyber attackers to launch advanced attacks. This paper proposes a novel big data based security analytics approach to detecting advanced attacks in virtualized infrastructures. Network logs as well as user application logs collected periodically from the guest virtual machines (VMs) are stored in the Hadoop Distributed File System (HDFS). Then, extraction of attack features is performed through graph-based event correlation and Map Reduce parser based identification of potential attack paths. Next, determination
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Dissertations / Theses on the topic "Cloud security attacks"

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Forsell, Daniel McKinnon. "Mitigation of Virtunoid Attacks on Cloud Computing Systems." Thesis, Uppsala universitet, Institutionen för informationsteknologi, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-243353.

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Virtunoid is a proof of concept exploit abusing a vulnerability in the open source hardware virtualisation control program QEMU-KVM. The vulnerability originally stems from improper hotplugging of emulated embedded circuitry in the Intel PIIX4 southbridge resulting in memory corruption and dangling pointers. The exploit can be used to compromise the availability of the virtual machine, or to escalate privileges compromising the confidentiality of the resources in the host system. The research presented in this dissertation shows that the discretionary access control system, provided by default
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Inci, Mehmet Sinan. "Micro-architectural Threats to Modern Computing Systems." Digital WPI, 2019. https://digitalcommons.wpi.edu/etd-dissertations/528.

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With the abundance of cheap computing power and high-speed internet, cloud and mobile computing replaced traditional computers. As computing models evolved, newer CPUs were fitted with additional cores and larger caches to accommodate run multiple processes concurrently. In direct relation to these changes, shared hardware resources emerged and became a source of side-channel leakage. Although side-channel attacks have been known for a long time, these changes made them practical on shared hardware systems. In addition to side-channels, concurrent execution also opened the door to practical qu
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Almeida, Thiago Rodrigues Meira de. "A collaborative architecture agianst DDOS attacks for cloud computing systems." Universidade de São Paulo, 2018. http://www.teses.usp.br/teses/disponiveis/3/3141/tde-25032019-114624/.

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Distributed attacks, such as Distributed Denial of Service (DDoS) ones, require not only the deployment of standalone security mechanisms responsible for monitoring a limited portion of the network, but also distributed mechanisms which are able to jointly detect and mitigate the attack before the complete exhaustion of network resources. This need led to the proposal of several collaborative security mechanisms, covering different phases of the attack mitigation: from its detection to the relief of the system after the attack subsides. It is expected that such mechanisms enable the collaborat
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Oduyiga, Adeshola Oyesanya. "Security in Cloud Storage : A Suitable Security Algorithm for Data Protection." Thesis, Mittuniversitetet, Avdelningen för informationssystem och -teknologi, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-34428.

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The purpose of this thesis work was to conduct a general research on existing security techniques and come up with a considerable algorithm for data security in cloud storage. Cloud storage is an infrastructure or is a model of computer data storage in which the digital data is stored in logical pools. It unifies object storage for both developers and enterprises, from live applications data to cloud archival. It help to save valuable space on PC computers or mobile devices and provides the easy storage and access of data anywhere in the world. However, just as the benefits of cloud computing
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Forde, Edward Steven. "Security Strategies for Hosting Sensitive Information in the Commercial Cloud." ScholarWorks, 2017. https://scholarworks.waldenu.edu/dissertations/3604.

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IT experts often struggle to find strategies to secure data on the cloud. Although current security standards might provide cloud compliance, they fail to offer guarantees of security assurance. The purpose of this qualitative case study was to explore the strategies used by IT security managers to host sensitive information in the commercial cloud. The study's population consisted of information security managers from a government agency in the eastern region of the United States. The routine active theory, developed by Cohen and Felson, was used as the conceptual framework for the study. The
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Kambhampaty, Krishna Kanth. "Detecting Insider and Masquerade Attacks by Identifying Malicious User Behavior and Evaluating Trust in Cloud Computing and IoT Devices." Diss., North Dakota State University, 2019. https://hdl.handle.net/10365/29914.

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There are a variety of communication mediums or devices for interaction. Users hop from one medium to another frequently. Though the increase in the number of devices brings convenience, it also raises security concerns. Provision of platform to users is as much important as its security. In this dissertation we propose a security approach that captures user behavior for identifying malicious activities. System users exhibit certain behavioral patterns while utilizing the resources. User behaviors such as device location, accessing certain files in a server, using a designated or specific use
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Hawasli, Ahmad. "azureLang: a probabilistic modeling and simulation language for cyber attacks in Microsoft Azure cloud infrastructure." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-240406.

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Cyber-attack simulation is a suitable method used for assessing the security ofnetwork systems. An attack simulation advances step-wise from a certain systementry-point to explore the attack paths that lead to dierent weaknesses inthe model. Each step is analyzed, and the time to compromise is calculated.Attack simulations are primarily based on attack graphs. The graphs areemployed to model attack steps where nodes can represent assets in the system,and edges can represent the attack steps. To reduce the computational cost associatedwith building an attack graph for each specic system, domain
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Sharma, Sagar. "Towards Data and Model Confidentiality in Outsourced Machine Learning." Wright State University / OhioLINK, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=wright1567529092809275.

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Hammi, Badis. "Vers une détection à la source des activités malveillantes dans les clouds publics : application aux attaques de déni de service." Thesis, Troyes, 2015. http://www.theses.fr/2015TROY0023/document.

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Le cloud computing, solution souple et peu couteuse, est aujourd'hui largement adopté pour la production à grande échelle de services IT. Toutefois, des utilisateurs malveillants tirent parti de ces caractéristiques pour bénéficier d'une plate-forme d'attaque prête à l'emploi dotée d'une puissance colossale. Parmi les plus grands bénéficiaires de cette conversion en vecteur d’attaque, les botclouds sont utilisés pour perpétrer des attaques de déni de service distribuées (DDoS) envers tout tiers connecté à Internet.Si les attaques de ce type, perpétrées par des botnets ont été largement étudiée
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Inam, ul Haq Muhammad. "The major security challenges to cloud computing." Thesis, Högskolan i Borås, Institutionen Handels- och IT-högskolan, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:hb:diva-17235.

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Cloud computing is the computing model in which the computing resources such as software, hardware and data are delivered as a service through a web browser or light-weight desktop machine over the internet (Wink, 2012). This computing model abolishes the necessity of sustaining the computer resources locally hence cuts-off the cost of valuable resources (Moreno, Montero &amp; Llorente, 2012). A distinctive cloud is affected by different security issues such as Temporary Denial of Service (TDOS) attacks, user identity theft, session hijacking issues and flashing attacks (Danish, 2011). The pur
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Books on the topic "Cloud security attacks"

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Joshi, R. C., Emmanuel S. Pilli, and Preeti Mishra. Cloud Security: Attacks, Techniques, Tools, and Challenges. CRC Press LLC, 2022.

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Joshi, R. C., Emmanuel S. Pilli, and Preeti Mishra. Cloud Security: Attacks, Techniques, Tools, and Challenges. Taylor & Francis Group, 2021.

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Joshi, R. C., Emmanuel S. Pilli, and Preeti Mishra. Cloud Security: Attacks, Techniques, Tools, and Challenges. Taylor & Francis Group, 2021.

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Joshi, R. C., Emmanuel S. Pilli, and Preeti Mishra. Cloud Security: Attacks, Techniques, Tools, and Challenges. Taylor & Francis Group, 2021.

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Locati, Fabio Alessandro. OpenStack Cloud Security: Build a Secure OpenStack Cloud to Withstand All Common Attacks. Packt Publishing, Limited, 2015.

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Sood, Aditya K. Empirical Cloud Security: Practical Intelligence to Evaluate Risks and Attacks. Mercury Learning & Information, 2021.

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Empirical Cloud Security: Practical Intelligence to Evaluate Risks and Attacks. de Gruyter GmbH, Walter, 2021.

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Empirical Cloud Security: Practical Intelligence to Evaluate Risks and Attacks. de Gruyter GmbH, Walter, 2023.

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Empirical Cloud Security: Practical Intelligence to Evaluate Risks and Attacks. de Gruyter GmbH, Walter, 2021.

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Empirical Cloud Security, Second Edition: Practical Intelligence to Evaluate Risks and Attacks. de Gruyter GmbH, Walter, 2023.

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Book chapters on the topic "Cloud security attacks"

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Mishra, Preeti, Emmanuel S. Pilli, and R. C. Joshi. "Threat Model and Cloud Attacks." In Cloud Security. Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003004486-6.

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Singh, Vaishali, and S. K. Pandey. "Revisiting Cloud Security Attacks: Credential Attack." In Rising Threats in Expert Applications and Solutions. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-6014-9_39.

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Shashidhara, R., and R. Madhusudhan. "Identifying and Mitigating Against XSS Attacks in Web Applications." In Cloud Security. CRC Press, 2021. http://dx.doi.org/10.1201/9780367821555-13.

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Alani, Mohammed M. "Security Attacks in Cloud Computing." In Elements of Cloud Computing Security. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-41411-9_4.

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Ivanc, Blaž, and Tomaž Klobučar. "Analysis of Advanced Cyber Attacks with Quantified ESM." In Cloud Computing and Security. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27051-7_20.

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Singh, Gulshan Kumar, and Gaurav Somani. "Detecting Cloud Originated DDoS Attacks at the Source Using Out-Cloud Attack Detection (OCAD)." In Information Systems Security. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-23690-7_10.

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Wang, Lingren, Jingbing Li, Jieren Cheng, Uzair Aslam Bhatti, and Qianning Dai. "DoS Attacks Intrusion Detection Algorithm Based on Support Vector Machine." In Cloud Computing and Security. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00018-9_26.

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Lin, Po-Ching, Yu-Ting Hsu, and Ren-Hung Hwang. "Detecting and Preventing DDoS Attacks in SDN-Based Data Center Networks." In Cloud Computing and Security. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-68542-7_5.

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Yin, Zhongxu, Zhufeng Li, and Yan Cao. "A Web Application Runtime Application Self-protection Scheme against Script Injection Attacks." In Cloud Computing and Security. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00009-7_51.

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Cimato, Stelvio, Ernesto Damiani, Silvia Mella, and Ching-Nung Yang. "Key Recovery in Public Clouds: A Survey on Cross-VM Side Channel Attacks." In Cloud Computing and Security. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-48671-0_40.

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Conference papers on the topic "Cloud security attacks"

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El Hanine, Mohamed, Ahmed El-Yahyaoui, and Redouane Es-Sadaoui. "Three Layer IoT Architecture: Attacks and Security Mechanisms." In 2024 11th International Conference on Future Internet of Things and Cloud (FiCloud). IEEE, 2024. http://dx.doi.org/10.1109/ficloud62933.2024.00014.

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Cidrão, Carlos, Oskar Hermansson, and Simon Hacks. "Defending Against Phishing Attacks on Cloud-Systems: What Has Been Studied?" In 11th International Conference on Information Systems Security and Privacy. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013140000003899.

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Raman, Ramakrishnan, Biju G. Pillai, Shailesh Rastogi, Vikram Kumar, Apurv Verma, and Meenakshi. "The Design of Security System in Transmission of Healthcare Cloud Data System to Secure from Attacks." In 2024 4th International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE). IEEE, 2024. http://dx.doi.org/10.1109/icacite60783.2024.10617406.

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Singh, Rachna, and Nitasha Soni. "Enhancing Cloud Security Against DDoS Attacks: A Comprehensive Review of ML and DL-Based Defence Mechanisms." In 2024 International Conference on Communication, Computing and Energy Efficient Technologies (I3CEET). IEEE, 2024. https://doi.org/10.1109/i3ceet61722.2024.10993847.

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Luo, Yukui, Adnan Siraj Rakin, Deliang Fan, and Xiaolin Xu. "DeepShuffle: A Lightweight Defense Framework against Adversarial Fault Injection Attacks on Deep Neural Networks in Multi-Tenant Cloud-FPGA." In 2024 IEEE Symposium on Security and Privacy (SP). IEEE, 2024. http://dx.doi.org/10.1109/sp54263.2024.00034.

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Gaza, Lukasz, and Agnieszka Jakobik. "Epistemic Games with Conditional Believes for Modelling Security Threats Defence in Cloud Computing Systems." In 36th ECMS International Conference on Modelling and Simulation. ECMS, 2022. http://dx.doi.org/10.7148/2022-0285.

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We presented Epistemic Games with Conditional Believes model for automating security decisions in Cloud Computing systems. The model assumes attack-defence scenarios. The game stages model Cloud provider and Cloud attacker rivalry to maximise their payoffs. The paper presents the methodology for including the believes about opponent’s rationality. The presented model allows considering the attack on Cloud system in a realistic way. The proposed solution has been tested by the experimental analysis on Cloud Sim simulator. Presented model enables finding strategies for the Cloud provider to prot
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Kazdagli, Mikhail, Mohit Tiwari, and Akshat Kumar. "Using Constraint Programming and Graph Representation Learning for Generating Interpretable Cloud Security Policies." In Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22}. International Joint Conferences on Artificial Intelligence Organization, 2022. http://dx.doi.org/10.24963/ijcai.2022/257.

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Modern software systems rely on mining insights from business sensitive data stored in public clouds. A data breach usually incurs significant (monetary) loss for a commercial organization. Conceptually, cloud security heavily relies on Identity Access Management (IAM) policies that IT admins need to properly configure and periodically update. Security negligence and human errors often lead to misconfiguring IAM policies which may open a backdoor for attackers. To address these challenges, first, we develop a novel framework that encodes generating optimal IAM policies using constraint program
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Zhang, Yinqian, and Radu Sion. "Speculative Execution Attacks and Cloud Security." In the 2019 ACM SIGSAC Conference. ACM Press, 2019. http://dx.doi.org/10.1145/3338466.3360287.

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Ge, Linqiang, Wei Yu, and Mohammad Ali Sistani. "On localization attacks against cloud infrastructure." In SPIE Defense, Security, and Sensing, edited by Igor V. Ternovskiy and Peter Chin. SPIE, 2013. http://dx.doi.org/10.1117/12.2015626.

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Ramesh Kumar, M., and Pradeep Sudhakaran. "Comprehensive Survey on Detecting Security Attacks of IoT Intrusion Detection Systems." In International Research Conference on IOT, Cloud and Data Science. Trans Tech Publications Ltd, 2023. http://dx.doi.org/10.4028/p-270t9z.

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With the growth of Internet of Things (IoT), which connects billions of small, smart devices to the Internet, cyber security has become more difficult to manage. These devices are vulnerable to cyberattacks because they lack defensive measures and hardware security support. In addition, IoT gateways provide the most fundamental security mechanisms like firewall, antivirus and access control mechanism for identifying such attacks. In IoT setting, it is critical to maintain security, and protecting the network is even more critical in an IoT network. Because it works directly at local gateways,
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Reports on the topic "Cloud security attacks"

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Pasupuleti, Murali Krishna. Securing AI-driven Infrastructure: Advanced Cybersecurity Frameworks for Cloud and Edge Computing Environments. National Education Services, 2025. https://doi.org/10.62311/nesx/rrv225.

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Abstract: The rapid adoption of artificial intelligence (AI) in cloud and edge computing environments has transformed industries by enabling large-scale automation, real-time analytics, and intelligent decision-making. However, the increasing reliance on AI-powered infrastructures introduces significant cybersecurity challenges, including adversarial attacks, data privacy risks, and vulnerabilities in AI model supply chains. This research explores advanced cybersecurity frameworks tailored to protect AI-driven cloud and edge computing environments. It investigates AI-specific security threats,
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Leathers, Emily, Clayton Thurmer, and Kendall Niles. Encryption for edge computing applications. Engineer Research and Development Center (U.S.), 2024. http://dx.doi.org/10.21079/11681/48596.

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As smart sensors and the Internet of Things (IoT) exponentially expand, there is an increased need for effective processing solutions for sensor node data located in the operational arena where it can be leveraged for immediate decision support. Current developments reveal that edge computing, where processing and storage are performed close to data generation locations, can meet this need (Ahmed and Ahmed 2016). Edge computing imparts greater flexibility than that experienced in cloud computing architectures (Khan et al. 2019). Despite these benefits, the literature highlights open security i
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