Relevant bibliographies by topics / Collaborative IOT Security Model

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Collaborative IOT Security Model'

Author: Grafiati
Published: 7 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Collaborative IOT Security Model"

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Ida, Wahidah, Purwanto Yudha, and Kurniawan Aditya. "Collaborative intrusion detection networks with multi-hop clustering for internet of things." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (2021): 3255–66. https://doi.org/10.11591/ijece.v11i4.pp3255-3266.

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Internet of things (IoT) is an emerging topic in so many aspects nowadays. The integration between devices and human itself is currently in large scale development. With the continuous applications of the IoT, the hidden problems such as security threats become one of the key considerations. Furthermore, limited power and computational capability of the devices in the system make it more challenging. Therefore, the needs of reliable and effective security system throughout the networks are highly needed. This research proposed a collaborative system based on JADE that consists of 3 types of ag
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Ravuri, Ananda, M. Sadish Sendil, Moshe Rani, et al. "Blockchain-enabled collaborative anomaly detection for IoT security." MATEC Web of Conferences 392 (2024): 01141. http://dx.doi.org/10.1051/matecconf/202439201141.

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Protection of the Internet of Things (IoT) has become a significant concern due to the widespread use of IoT technologies. Conventional Intrusion Detection Systems (IDS) have challenges when used in IoT networks because of resource restrictions and complexities. Blockchain Technology (BCT) has significantly altered organizations' financial behavior and effectiveness in recent years. Data security and system stability are crucial concerns that must be tackled in blockchain systems. The study suggests a mechanism called Deep Blockchain-Enabled Collaborative Anomaly Detection (DBC-CAD) for securi
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Wahidah, Ida, Yudha Purwanto, and Aditya Kurniawan. "Collaborative intrusion detection networks with multi-hop clustering for internet of things." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (2021): 3255. http://dx.doi.org/10.11591/ijece.v11i4.pp3255-3266.

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<p>Internet of things (IoT) is an emerging topic in so many aspects nowadays. The integration between devices and human itself is currently in large scale development. With the continuous applications of the IoT, the hidden problems such as security threats become one of the key considerations. Furthermore, limited power and computational capability of the devices in the system make it more challenging.Therefore, the needs of reliable and effective security system throughout the networks are highly needed. This research proposed a collaborative system based on JADE that consists of 3 typ
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PRIYA, S. SATHYA, and S. REVATHY. "SECURITY ENHANCED COLLABORATIVE BUSINESS MODEL APPROACH USING BLOCKCHAIN AND IoT." International Journal of Business Innovation and Research 1, no. 1 (2021): 1. http://dx.doi.org/10.1504/ijbir.2021.10041340.

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Revathy, S., and S. Sathya Priya. "Security enhanced collaborative business model approach using blockchain and IoT." International Journal of Business Innovation and Research 32, no. 2 (2023): 280–92. http://dx.doi.org/10.1504/ijbir.2023.134657.

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Vinny, Sukhija, and Mohan Goel Brij. "Mitigating Security Threats in IoT Networks Using Big Data Analytics and On-Device Modeling." International Journal of Engineering and Management Research 15, no. 1 (2025): 103–12. https://doi.org/10.5281/zenodo.15037481.

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The rapid increase of IoT devices created the modern digital infrastructures but it has also added crucial security challenges due to the scale and heterogeneity of IOT devices. This paper presents a collaborative security framework model that uses big-data analytics & Hybrid on-device modelling that allows us to address the security threats appearing in an IoT ecosystem. The framework uses big data analytics to process huge amounts of IoT traffic data in real time, recognizing patterns, detect possible threats and creates a miniature model that can be deployed on IOT device.  On-devi
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Ajay, Ajay, Ajay Kumar, Krishan Kant Singh Gautam, Pratibha Deshmukh, Pavithra G, and Laith Abualigah. "Collaborative Intelligence for IoT: Decentralized Net security and confidentiality." Journal of Intelligent Systems and Internet of Things 13, no. 2 (2024): 202–11. http://dx.doi.org/10.54216/jisiot.130216.

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This research compares federated and centralized learning paradigms to discover the best machine learning privacy-model accuracy balance. Federated learning allows model training across devices or clients without data centralization. It's innovative distributed machine learning. Keeping data on individual devices reduces the hazards of centralized data storage, improving user privacy and security. However, centralized learning concentrates data on a server, which raises privacy and security problems. It evaluates two learning approaches using simulated data in a simple regression problem frame
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Meng, Xianghui. "Privacy challenges and policy implications of in-home monitoring systems." Advances in Engineering Innovation 9, no. 1 (2024): 18–26. http://dx.doi.org/10.54254/2977-3903/9/2024089.

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In the evolving landscape of the Internet of Things (IoT) home monitoring systems, this paper addresses the pressing privacy challenges and policy implications, highlighting the dual threats of sophisticated cyber-attacks and cloud-based vulnerabil- ities. We advocate a harmonized approach integrating technical solutions with regulatory frames to counter these issues. Our research systematically evaluates existing security mechanisms and introduces an innovative framework that blends advanced encryption techniques, robust data management practices, and comprehensive policy solutions to enhance
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Wardana, Aulia Arif, Grzegorz Kołaczek, and Parman Sukarno. "Lightweight, Trust-Managing, and Privacy-Preserving Collaborative Intrusion Detection for Internet of Things." Applied Sciences 14, no. 10 (2024): 4109. http://dx.doi.org/10.3390/app14104109.

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This research introduces a comprehensive collaborative intrusion detection system (CIDS) framework aimed at bolstering the security of Internet of Things (IoT) environments by synergistically integrating lightweight architecture, trust management, and privacy-preserving mechanisms. The proposed hierarchical architecture spans edge, fog, and cloud layers, ensuring efficient and scalable collaborative intrusion detection. Trustworthiness is established through the incorporation of distributed ledger technology (DLT), leveraging blockchain frameworks to enhance the reliability and transparency of
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Noreen Khalid and Shafaat Ahmed Bazaz. "ENHANCING IOT SECURITY: THREAT MODEL-BASED ANALYSIS IN THE WEB OF THINGS ECOSYSTEM." Kashf Journal of Multidisciplinary Research 2, no. 02 (2025): 190–206. https://doi.org/10.71146/kjmr287.

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The Internet of things using collaborative technologies such as 5G, cloud, artificial intelligence, analytics, and automation enables people and objects/devices to communicate with each other at anytime and anywhere using the internet. The aim of this study is to understand the phenomenon of the Internet of Things and identify security, privacy, and trust threats associated with it. For this, we used a renowned Microsoft threat model such as STRIDE and a threat analysis tool like DREAD to examine the security threats through IoT Soil moisture system and this application is deployed on an IoT d
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Dissertations / Theses on the topic "Collaborative IOT Security Model"

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Alam, Masoom. "Model driven security for the realization of dynamic security requirements in collaborative systems." Saarbrücken VDM Verlag Dr. Müller, 2003. http://d-nb.info/989176592/04.

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Beaulaton, Delphine. "Security Analysis of IoT Systems using Attack Trees." Thesis, Lorient, 2019. http://www.theses.fr/2019LORIS548.

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L’Internet des Objects (IoT) est un modèle qui évolue rapidement et qui permet à des utilisateursd’utiliser et contrôler une large variété d’objets connectés entre eux. Ces environnementsconnectés augmentent la surface d’attaque d’un système puisque les risques sont multipliés parle nombre d’appareils connectés. Ces appareils sont responsables de tâches plus ou moinscritiques, et peuvent donc être la cible d’utilisateurs malveillants. Dans ce travail de thèse nousprésentons une méthodologie pour évaluer la sécurité de systèmes IoT. Nous proposons unemanière de représenter les systèmes IoT, cou
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Miguel, Moneo Jorge. "An information security model based on trustworthiness for enhancing security in on-line collaborative learning." Doctoral thesis, Universitat Oberta de Catalunya, 2015. http://hdl.handle.net/10803/399030.

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L'objectiu principal d'aquesta tesi és incorporar propietats i serveis de la seguretat en sistemes d'informació en l'aprenentatge col·laboratiu en línia, seguint un model funcional basat en la valoració i predicció de la confiança. Aquesta tesi estableix com a punt de partença el disseny d'una solució de seguretat innovadora, basada en una metodologia pròpia per a oferir als dissenyadors i gestors de l'e-learning les línies mestres per a incorporar mesures de seguretat en l'aprenentatge col·laboratiu en línia. Aquestes guies cobreixen tots els aspectes sobre el disseny i la gestió que s'han de
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Song, Yuanjun. "Security in Internet of Things." Thesis, KTH, Skolan för informations- och kommunikationsteknik (ICT), 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-142451.

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The Internet of Things (IoT) is emerging the Internet and other networks with wireless technologies to make physical objects interact online. The IoT has developed to become a promising technology and receives significant research attention in recent years because of the development of wireless communications and micro-electronics.  Like other immature technological inventions, although IoT will promise their users a better life in the near future, it is a security risk, especially today the privacy is increasingly concerned by people. The key technologies of IoT are not yet mature. Therefore
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Ahmad, Abbas. "Model-Based Testing for IoT Systems : Methods and tools." Thesis, Bourgogne Franche-Comté, 2018. http://www.theses.fr/2018UBFCD008/document.

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L'internet des objets (IoT) est aujourd'hui un moyen d'innovation et de transformation pour de nombreuses entreprises. Les applications s'étendent à un grand nombre de domaines, tels que les villes intelligentes, les maisons intelligentes, la santé, etc. Le Groupe Gartner estime à 21 milliards le nombre d'objets connectés d'ici 2020. Le grand nombre d'objets connectés introduit des problèmes, tels que la conformité et l'interopérabilité en raison de l'hétérogénéité des protocoles de communication et de l'absence d'une norme mondialement acceptée. Le grand nombre d'utilisations introduit des pr
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Christensen, Ludvig, and Daniel Dannberg. "Ethical hacking of IoT devices: OBD-II dongles." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-254571.

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The subject area of this project is IT security related to cars, specifically the security of devices connected through a cars OBD-II connector. The aim of the project is to see the security level of the AutoPi OBD-II unit and to analyse where potential vulnerabilities are likely to occur when in use. The device was investigated using threat modeling consisting of analysing the architecture, using the STRIDE model to see the potential attacks that could be implemented and risk assessments of the attacks using the DREAD model. After modelling the system, attempts of implementing attacks, with t
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Mahboubi, Arash. "Security of critical information infrastructures exposed to mobile personal devices." Thesis, Queensland University of Technology, 2018. https://eprints.qut.edu.au/118743/1/Arash_Mahboubi_Thesis.pdf.

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Mobile personal devices with USB communication capabilities are essential elements of our modern lives. Their large-scale pervasive deployment within the population has promoted many malware attacks some of which are capable of infiltrating physically isolated critical control systems. This research investigates mobile malware capable of infecting and spreading through a system with heterogeneous computing, communication and storage components. Two novel prevention methods are presented: user accountability and system immunity. While the former uses a novel intrusive USB authentication,
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Achkoudir, Rami, and Zainab Alsaadi. "Ethical Hacking of a Smart Plug." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-291355.

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The number of Internet of Things (IoT) devices is growing rapidly which introduces plenty of new challenges concerning the security of these devices. This thesis aims to contribute to a more sustainable IoT environment by evaluating the security of a smart plug. The DREAD and STRIDE methods were used to assess the potential threats and the threats with the highest potential impact were penetration tested in order to test if there were any security preventions in place. The results from the penetration tests presented no major vulnerabilities which bring us to the conclusion that the Nedis Smar
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Getha-Taylor, Heather. "Specifying and testing a model of collaborative capacity dentifying complementary competencies, incentive structures, and leadership lessons for the United States Department of Homeland Security /." Related electronic resource:, 2007. http://proquest.umi.com/pqdweb?did=1398611661&sid=1&Fmt=2&clientId=3739&RQT=309&VName=PQD.

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Torgilsman, Christoffer, and Eric Bröndum. "Ethical Hacking of a Robot Vacuum Cleaner." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-277918.

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This study revolves around the safety of IoT devices, more specifically how safe the robot vacuum cleaner Ironpie m6 is. The method is based on threat modeling the device, using the DREAD and STRIDE models. The threats with the highest estimated severity were then penetration tested to see which security measures are implemented to protect against them. Using client side manipulation one vulnerability was found in Trifo’s mobile application ”Trifo home” which could be used to harm customers property.<br>Den här studien kretsar kring IoT enheters säkerhet, mer specifikt hur säker robotdammsugar
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Books on the topic "Collaborative IOT Security Model"

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Mugyenyi, Peter. Pioneering work on HIV/AIDS in Uganda. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780198703327.003.0004.

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Chapter 4 describes how the author and his colleagues set about trying to tackle HIV/AIDS in Uganda through health education and prevention campaigns, collaborative research, and, ultimately, treatment. It covers how, through the work of the Joint Clinical Research Centre and active support from the country’s President, Uganda took the lead in many aspects of research and development, and how it became clear that the biggest challenges were securing access to treatments and confronting attitudes that the use of antiretroviral therapy (ART) in Africa was simply unfeasible. It also describes how
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Pontes Filho, Raimundo Pereira. Desafios à segurança pública no Brasil. Brazil Publishing, 2020. http://dx.doi.org/10.31012/978-65-5861-169-1.

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The problems and themes dealt with in the course of this work constitute repeated challenges to public security in Brazil. There are several others, no doubt, but here is a simple sample of the main ones. The urgent need to review the concept and the model put into practice, predominantly, as a public security paradigm in Brazilian society is evident. It is a demanding task, it requires considerable effort, however, it is essential to the perspectives of life in society in the country, under penalty of making the social reality increasingly dramatic and violent. In this sense, without pretendi
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Aufderheide, Dean. Communication in correctional psychiatry. Oxford University Press, 2015. http://dx.doi.org/10.1093/med/9780199360574.003.0009.

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When the competing cultures and communication styles of correctional and health care professionals clash, communication is compromised and the potential for problems and unwanted outcomes is compounded. Notwithstanding the inherent cultural differences among interdisciplinary staff, effective communication in a correctional setting is especially challenging for psychiatrists. Whether transitioning from the protective structure of a residency, or moving from a private practice or other mental health setting, psychiatrists working in a jail or prison will likely experience their new environment
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Book chapters on the topic "Collaborative IOT Security Model"

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Heydari, Mohammad, Alexios Mylonas, Vasilis Katos, Emili Balaguer-Ballester, Amna Altaf, and Vahid Heydari Fami Tafreshi. "Uncertainty-Aware Authentication Model for IoT." In Computer Security. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-42048-2_15.

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Liagkou, Vasiliki, and Chrysostomos Stylios. "VR Training for Security Awareness in Industrial IoT." In Collaborative Networks and Digital Transformation. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-28464-0_53.

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Gabillon, Alban, and Emmanuel Bruno. "A Security Model for IoT Networks." In Future Data and Security Engineering. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-03192-3_4.

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Páez-Méndez, Rafael V., Edgar E. Ruiz García, and Jordi Forné. "Security Model for IoT Applications - IoTSeMo." In Lecture Notes in Networks and Systems. Springer Nature Switzerland, 2024. https://doi.org/10.1007/978-3-031-74443-3_12.

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Santos, Bernardo, Bruno Dzogovic, Boning Feng, Van Thuan Do, Niels Jacot, and Thanh Van Do. "Enhancing Security of Cellular IoT with Identity Federation." In Advances in Intelligent Networking and Collaborative Systems. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29035-1_25.

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Prakash, Chandra, and Rakesh Kumar Saini. "A Model on IoT Security Method and Protocols for IoT Security Layers." In Mobile Radio Communications and 5G Networks. Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-7130-5_63.

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Gazis, Vangelis, Carlos Garcia Cordero, Emmanouil Vasilomanolakis, Panayotis Kikiras, and Alex Wiesmaier. "Security Perspectives for Collaborative Data Acquisition in the Internet of Things." In Internet of Things. IoT Infrastructures. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-19743-2_38.

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Matta, Priya, Bhaskar Pant, and Umesh Kumar Tiwari. "DDITA: A Naive Security Model for IoT Resource Security." In Smart Innovations in Communication and Computational Sciences. Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-10-8971-8_19.

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Benzekri, Ghizlane, Omar Moussaoui, and Ali El Moussati. "IoT Security Management: Model and Design Issues." In Advances in Smart Technologies Applications and Case Studies. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-53187-4_25.

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Swami Das, M., A. Govardhan, and D. Vijaya Lakshmi. "A Model of Women Security Using IoT." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-16-3690-5_146.

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Conference papers on the topic "Collaborative IOT Security Model"

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V, Brindha N., N. N. Jose, N. Ramadevi, R. Jayanthi, Arun Kumar Arigela, and Arun Raj S. R. "Enhanced Scheduling Adaptability in Internet of Things (IoT) Networks via Collaborative Policy Learning and Federated Reinforcement Models." In 2025 3rd International Conference on Communication, Security, and Artificial Intelligence (ICCSAI). IEEE, 2025. https://doi.org/10.1109/iccsai64074.2025.11064079.

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Huang, Yongtao, I.-Ling Yen, and Farokh Bastani. "Collaborative Access Control for IoT - A Blockchain Approach." In 2024 IEEE International Conference on Blockchain and Distributed Systems Security (ICBDS). IEEE, 2024. https://doi.org/10.1109/icbds61829.2024.10837489.

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Abuserrieh, Lobna, and Manar H. Alalfi. "IoT-SafeMod: Model-Driven Security and Safety for IoT Applications." In 2025 IEEE/ACM 7th International Workshop on Software Engineering Research & Practices for the IoT (SERP4IoT). IEEE, 2025. https://doi.org/10.1109/serp4iot66600.2025.00013.

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Adewole, Kayode, Andreas Jacobsson, and Paul Davidsson. "RAM-IoT: Risk Assessment Model for IoT-Based Critical Assets." In 10th International Conference on Internet of Things, Big Data and Security. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013200800003944.

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Gaurav, Akshat, Varsha Arya, Brij B. Gupta, and Kwok Tai Chui. "Attention-Enhanced Hybrid AI Model for IoT Security." In 2025 International Wireless Communications and Mobile Computing (IWCMC). IEEE, 2025. https://doi.org/10.1109/iwcmc65282.2025.11059511.

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Yves Stéphans Loari, Yempabou, Didier Bassole, Leonard M. Sawadogo, Gouayon Koala, and Oumarou Sié. "IoT Devices Security Improvement Based on Collaborative Intrusion Detection System and Blockchain Technology." In 2024 International Conference on Computer and Applications (ICCA). IEEE, 2024. https://doi.org/10.1109/icca62237.2024.10927992.

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Deveci, Ali, Selim Yılmaz, and Sevil Sen. "CoCoIDS: A Collaborative Intrusion Detection System for IoT based on Co-evolution." In 2024 11th International Conference on Internet of Things: Systems, Management and Security (IOTSMS). IEEE, 2024. http://dx.doi.org/10.1109/iotsms62296.2024.10710299.

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Li, Sensen, Chen Fang, Bin Yu, Jun Tang, and Zhijie Wang. "Security-Enhanced Data Sharing Model for Cloud-Edge Collaborative Network." In 2024 10th International Conference on Computer and Communications (ICCC). IEEE, 2024. https://doi.org/10.1109/iccc62609.2024.10941959.

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Wang, Jincheng, Le Yu, and Xiapu Luo. "LLMIF: Augmented Large Language Model for Fuzzing IoT Devices." In 2024 IEEE Symposium on Security and Privacy (SP). IEEE, 2024. http://dx.doi.org/10.1109/sp54263.2024.00211.

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Joshi, Prashant, and Bharat Deshpande. "Advancing IoT Architectures Using Collaborative Computing Paradigms for Dynamic and Scalable Systems." In 13th International Conference on Model-Based Software and Systems Engineering. SCITEPRESS - Science and Technology Publications, 2025. https://doi.org/10.5220/0013388900003896.

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Reports on the topic "Collaborative IOT Security Model"

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Peippo, Jaana, Mervi Honkatukia, Maria Kjetså, and Ellen-Louisa Fagerheim White. The NordFrost Project Report – Farm Animal Gene Banks in the Nordic Region: Added Value Through Nordic Cooperation. Nordic Genetic Resource Center (NordGen), 2024. http://dx.doi.org/10.53780/arpi5480.

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The network project titled “Nordic animal gene banks – added value through Nordic cooperation” (NordFrost), has aimed to strengthen the collaboration and competence for ex-situ conservation of animal genetic resources (AnGR) in the Nordic region. This project was launched as a case study following the Horizon2020 funded IMAGE project (2016-2020) where it was concluded that there is a broad variation in the current state of practices and the distribution of responsibilities related to cryoconservation activities between the Nordic countries. The national strategies on conserving AnGR emphasise
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Peippo, Jaana, Mervi Honkatukia, Maria Kjetså, and Ellen-Louisa Fagerheim White. The NordFrost Project Report – Farm Animal Gene Banks in the Nordic Region: Added Value Through Nordic Cooperation. Nordic Genetic Resource Center (NordGen), 2024. http://dx.doi.org/10.53780/rlyj6032.

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The network project titled “Nordic animal gene banks – added value through Nordic cooperation” (NordFrost), has aimed to strengthen the collaboration and competence for ex-situ conservation of animal genetic resources (AnGR) in the Nordic region. This project was launched as a case study following the Horizon2020 funded IMAGE project (2016-2020) where it was concluded that there is a broad variation in the current state of practices and the distribution of responsibilities related to cryoconservation activities between the Nordic countries. The national strategies on conserving AnGR emphasise
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Dudoit, Alain. The urgency of the first link: Canada’s supply chain at breaking point, a national security issue. CIRANO, 2023. http://dx.doi.org/10.54932/cxwf7311.

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The creation of an intelligent supply chain is now an urgent national security priority that cannot be achieved without the joint mobilization of various stakeholders in Canada. It is not, however, an end in itself: the achievement of a single, competitive, sustainable, and consumer-focused domestic market should be the ultimate outcome of the national taskforce needed to collaboratively implement the recommendations of three complementary public policy reports published in 2022 on the state of the supply chain in Canada. The supply chain challenge is vast, and it will only become more complex
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Kwon, Heeseo Rain, HeeAh Cho, Jongbok Kim, Sang Keon Lee, and Donju Lee. International Case Studies of Smart Cities: Songdo, Republic of Korea. Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0007012.

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This case study is one of ten international studies developed by the Korea Research Institute for Human Settlements (KRIHS), in association with the Inter-American Development Bank (IDB), for the cities of Anyang, Medellin, Namyangju, Orlando, Pangyo, Rio de Janeiro, Santander, Singapore, Songdo, and Tel Aviv. At the IDB, the Competitiveness and Innovation Division (CTI), the Fiscal and Municipal Management Division (FMM), and the Emerging and Sustainable Cities Initiative (ESCI) coordinated the study. This project was part of technical cooperation ME-T1254, financed by the Knowledge Partnersh
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Ampatzidis, Yiannis, Mahendra Bhandari, Andres Ferreyra, et al. AI in Agriculture: Opportunities, Challenges, and Recommendations. Chair Alex Thomasson. Council for Agricultural Science and Technology, 2025. https://doi.org/10.62300/iaag042514.

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Artificial Intelligence (AI) is rapidly being integrated into people’s lives, reshaping industries, and enabling previously unimagined innovation, even in agriculture. Generative AI focuses on creating content like text and pictures based on vast quantities of data. ExtensionBot is a generative AI platform that supports agricultural extension by providing farmers with accurate scientific information and specific recommendations. It has been shown to deliver more accurate responses to agricultural questions than broader generative AI models. Other forms of AI have been used to analyze data to p
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Bloch, G., and H. S. Woodard. regulation of size related division of labor in a key pollinator and its impact on crop pollination efficacy. United States-Israel Binational Agricultural Research and Development Fund, 2021. http://dx.doi.org/10.32747/2021.8134168.bard.

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Despite the rapid increase in reliance on bumble bees for food production and security, there are many critical knowledge gaps in our understanding of bumble bee biology that limit their colony production, commercial management, and pollination services. Our project focuses on the social, endocrine, and molecular processes regulating body size in the two bumble bee species most important to agriculture: Bombus terrestris in Israel, and B. impatiens in the USA. Variation in body size underline both caste (queen/worker) differentiation and division of labor among workers (foragers are typically
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Cybersecurity: Are We Ready in Latin America and the Caribbean? Inter-American Development Bank, 2016. http://dx.doi.org/10.18235/0006517.

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The manner in which nation states and regions address cybersecurity capacity is essential for effective, efficient, and sustainable cybersecurity. The 2016 Cybersecurity Report is the result of the collaboration between the Inter-American Development Bank (IDB), the Organization of American States (OAS), and the Global Cyber Security Capacity Centre (GCSCC) at the University of Oxford. The report presents a complete picture and update on the status of cybersecurity (risks, challenges, and opportunities) of Latin America and the Caribbean countries. The first section consists of a series of ess
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