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Academic Articles & Research Papers
Showing 20 of 813 academic articles
Chee‐Wooi Ten, Manimaran Govindarasu, Chen‐Ching Liu • IEEE Transactions on Systems Man and Cybernetics - Part A Systems and Humans
(2010)
Disruption of electric power operations can be catastrophic on national security and the economy. Due to the complexity of widely dispersed assets and the interdependences among computer, communication, and power infrastructures, the requir...
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DOI: https://doi.org/10.1109/tsmca.2010.2048028
Daniel Conte de Leon, Georgios Michail Makrakis, Constantinos Kolias • Wiley eBooks
(2021)
This chapter describes fundamental concepts of security and cybersecurity within the context of Industrial Control Systems (ICSs) and Cyber–Physical Systems (CPSs) and their control subsystems. It identifies the fundamental properties of a ...
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DOI: https://doi.org/10.1002/9781119660446.ch7
Ludwig Slusky • Journal of international technology and information management
(2020)
The online proctored examinations are adopted exceedingly in all forms of academic education and professional training. AI with Machine Learning technology take the leading role in supporting authentication, authorization, and operational c...
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Open Access
DOI: https://doi.org/10.58729/1941-6679.1445
Dipankar Dasgupta, Zahid Akhtar, Sajib Sen • The Journal of Defense Modeling and Simulation Applications Methodology Technology
(2020)
Today’s world is highly network interconnected owing to the pervasiveness of small personal devices (e.g., smartphones) as well as large computing devices or services (e.g., cloud computing or online banking), and thereby each passing minut...
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DOI: https://doi.org/10.1177/1548512920951275
Chee‐Wooi Ten, Junho Hong, Chen‐Ching Liu • IEEE Transactions on Smart Grid
(2011)
Cybersecurity of the substations in a power system is a major issue as the substations become increasingly dependent on computer and communication networks. This paper is concerned with anomaly detection in the computer network environment ...
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DOI: https://doi.org/10.1109/tsg.2011.2159406
Yagmur Yigit, William Johnston Buchanan, Madjid Tehrani, Leandros A. Maglaras • Internet of Things and Cyber-Physical Systems
(2025)
Over the last decade, Artificial Intelligence (AI) has become increasingly popular, especially with the use of chatbots such as ChatGPT, Google’s Gemini, and DALL-E. With this rise, large language models (LLMs) and Generative AI (GenAI) hav...
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DOI: https://doi.org/10.1016/j.iotcps.2026.04.001
Mamoun Alazab, Swarna Priya Ramu, M. Parimala, Praveen Kumar Reddy Maddikunta et al. • IEEE Transactions on Industrial Informatics
(2021)
Federated learning (FL) is a recent development in artificial intelligence, which is typically based on the concept of decentralized data. As cyberattacks are frequently happening in the various applications deployed in real time, most indu...
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DOI: https://doi.org/10.1109/tii.2021.3119038
Siva Raja Sindiramutty, Chong Eng Tan, Sei Ping Lau, Rajan Thangaveloo et al. • Advances in computational intelligence and robotics book series
(2024)
In recent years, the utilization of AI in the field of cybersecurity has become more widespread. Black-box AI models pose a significant challenge in terms of interpretability and transparency, which is one of the major drawbacks of AI-based...
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DOI: https://doi.org/10.4018/978-1-6684-6361-1.ch002
Yadigar İmamverdiyev, Fargana J. Abdullayeva • International Journal of Cyber Warfare and Terrorism
(2020)
In this article, a review and summarization of the emerging scientific approaches of deep learning (DL) on cybersecurity are provided, a structured and comprehensive overview of the various cyberattack detection methods is conducted, existi...
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DOI: https://doi.org/10.4018/ijcwt.2020040105
Kutub Thakur, Al‐Sakib Khan Pathan • CRC Press eBooks
(2020)
Cybersecurity Fundamentals: A Real-World Perspective explains detailed concepts within computer networks and computer security in an easy-to-understand way, making it the perfect introduction to the topic. This book covers fundamental issue...
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DOI: https://doi.org/10.1201/9781003035626
Anand Handa, Ashu Sharma, Sandeep K. Shukla • Wiley Interdisciplinary Reviews Data Mining and Knowledge Discovery
(2019)
Machine learning technology has become mainstream in a large number of domains, and cybersecurity applications of machine learning techniques are plenty. Examples include malware analysis, especially for zero‐day malware detection, threat a...
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DOI: https://doi.org/10.1002/widm.1306
Mohamed Amine Ferrag, Fatima Alwahedi, Ammar Ayman Battah, Bilel Cherif et al. • Internet of Things and Cyber-Physical Systems
(2025)
This paper provides a comprehensive review of the future of cybersecurity through Generative AI and Large Language Models (LLMs). We explore LLM applications across various domains, including hardware design security, intrusion detection, s...
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DOI: https://doi.org/10.1016/j.iotcps.2025.01.001
Leonardo Ferreira, Daniel Castro Silva, Mikel Uriarte • Knowledge and Information Systems
(2023)
Abstract With the growth of CyberTerrorism, enterprises worldwide have been struggling to stop intruders from obtaining private data. Despite the efforts made by Cybersecurity experts, the shortage of skillful security teams and the usage o...
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DOI: https://doi.org/10.1007/s10115-023-01906-6
Junjian Qi, Adam Hahn, Xiaonan Lu, Jianhui Wang et al. • IET Cyber-Physical Systems Theory & Applications
(2016)
The increased penetration of distributed energy resources (DER) will significantly increase the number of devices that are owned and controlled by consumers and third‐parties. These devices have a significant dependency on digital communica...
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DOI: https://doi.org/10.1049/iet-cps.2016.0018
Vipin Kumar • IEEE Distributed Systems Online
(2005)
Parallel and distributed data mining offer great promise for addressing cybersecurity. The Minnesota Intrusion Detection System can detect sophisticated cyberattacks on large-scale networks that are hard to detect using signature-based syst...
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DOI: https://doi.org/10.1109/mdso.2005.53
Maanak Gupta, Charankumar Akiri, Kshitiz Aryal, Eli Parker et al. • IEEE Access
(2023)
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google Bard continue to foster their complexity and capability, it’...
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DOI: https://doi.org/10.1109/access.2023.3300381
Fabien Charmet, Harry Chandra Tanuwidjaja, Solayman Ayoubi, Pierre-François Gimenez et al. • Annals of Telecommunications
(2022)
Abstract With the extensive application of deep learning (DL) algorithms in recent years, e.g., for detecting Android malware or vulnerable source code, artificial intelligence (AI) and machine learning (ML) are increasingly becoming essent...
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DOI: https://doi.org/10.1007/s12243-022-00926-7
Stéphane M. Meystre, Peter John Haug • BMC Medical Informatics and Decision Making
(2005)
BACKGROUND: The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However,...
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DOI: https://doi.org/10.1186/1472-6947-5-30
PMC: 1208893
Yang Liu, Meng Zhang • Computational Linguistics
(2017)
Deep learning has attracted dramatic attention in recent years, both in academia and industry. The popular term deep learning generally refers to neural network methods. Indeed, many core ideas and methods were born years ago in the era of ...
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DOI: https://doi.org/10.1162/coli_r_00312
Santanu Pattanayak • Apress eBooks
(2022)
In the modern age of information and analytics, natural language processing (NLP) is one of the most important technologies out there. Making sense of complex structures in language and deriving insights and actions from it are crucial from...
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DOI: https://doi.org/10.1007/978-1-4842-8931-0_4