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Distributed Systems

Ratan K. Ghosh, Hiranmay Ghosh • Wiley eBooks (2023)

Distributed Systems Comprehensive textbook resource on distributed systems—integrates foundational topics with advanced topics of contemporary importance within the field Distributed Systems: Theory and Applications is organized around thre...

OPENALEX DOI: https://doi.org/10.1002/9781119825968

AI and Cybersecurity

Kalyan Chakradhar Regula • Advances in computational intelligence and robotics book series (2025)

Artificial Intelligence (AI) and Cybersecurity have become deeply intertwined, shaping the future of digital safety and resilience. As AI-driven solutions enhance threat detection, automation, and response mechanisms, cybersecurity safeguar...

OPENALEX DOI: https://doi.org/10.4018/979-8-3373-1142-5.ch015

A Review of Cybersecurity Incidents in the Water Sector

Amin Hassanzadeh, Amin Rasekh, Stefano Galelli, Mohsen Aghashahi et al. • Journal of Environmental Engineering (2020)

This study presents a critical review of disclosed, documented, and malicious cybersecurity incidents in the water sector to inform safeguarding efforts against cybersecurity threats. The review is presented within a technical context of in...

OPENALEX Open Access DOI: https://doi.org/10.1061/(asce)ee.1943-7870.0001686

A Game-theoretic Taxonomy and Survey of Defensive Deception for Cybersecurity and Privacy

Jeffrey Pawlick, Edward Colbert, Quanyan Zhu • ACM Computing Surveys (2019)

Cyberattacks on both databases and critical infrastructure have threatened public and private sectors. Ubiquitous tracking and wearable computing have infringed upon privacy. Advocates and engineers have recently proposed using defensive de...

OPENALEX Open Access DOI: https://doi.org/10.1145/3337772

Explainable machine learning in cybersecurity: A survey

Feixue Yan, Sheng Wen, ‪Surya Nepal‬, Cécile L. Paris et al. • International Journal of Intelligent Systems (2022)

Machine learning (ML) techniques are increasingly important in cybersecurity, as they can quickly analyse and identify different types of threats from millions of events. In spite of the increasing number of possible applications of ML, suc...

OPENALEX cc-by-nc DOI: https://doi.org/10.1002/int.23088

Synergizing Generative AI and Cybersecurity: Roles of Generative AI Entities, Companies, Agencies, and Government in Enhancing Cybersecurity

Pan Singh Dhoni, Ravinder Kumar (2023)

The digital landscape of the modern world has witnessed a remarkable evolution over the past few decades, with technological advancements permeating every facet of our lives. While these innovations have brought forth unprecedented convenie...

OPENALEX cc-by DOI: https://doi.org/10.36227/techrxiv.23968809.v1

Review of Generative AI methods in cybersecurity

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...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.iotcps.2026.04.001

Federated Learning for Cybersecurity: Concepts, Challenges, and Future Directions

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...

OPENALEX DOI: https://doi.org/10.1109/tii.2021.3119038

Explainable AI for Cybersecurity

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...

OPENALEX DOI: https://doi.org/10.4018/978-1-6684-6361-1.ch002

Vulnerability Assessment of Cybersecurity for SCADA Systems

Chee‐Wooi Ten, Chen‐Ching Liu, Manimaran Govindarasu • IEEE Transactions on Power Systems (2008)

Vulnerability assessment is a requirement of NERC's cybersecurity standards for electric power systems. The purpose is to study the impact of a cyber attack on supervisory control and data acquisition (SCADA) systems. Compliance of the requ...

OPENALEX DOI: https://doi.org/10.1109/tpwrs.2008.2002298

Introduction on Cybersecurity

Ishaani Priyadarshini • Wiley eBooks (2019)

This chapter contains sections titled: Introduction to Cybersecurity Cybersecurity Objectives Cybersecurity Infrastructure and Internet Architecture (NIST) Cybersecurity Roles Cybercrimes Security Models Computer Forensics Cyber Insurance F...

OPENALEX DOI: https://doi.org/10.1002/9781119488330.ch1

Generative AI in cybersecurity: A comprehensive review of LLM applications and vulnerabilities

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...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.iotcps.2025.01.001

INTERNATIONAL CYBERSECURITY EXPERIENCE AND CYBERSECURITY MODELS

Zina Zinelovna Nurysh, E.I. Isibaeva, Zhanna B. Shayakhmetova, Darkan Serik • «Вестник Атырауского университета имени Халела Досмухамедова» (2026)

In the article, the authors explore the state's capabilities in cybersecurity issues directly related to foreign national security experience. The mechanisms of public administration will be considered in order to improve cybersecurity in t...

OPENALEX cc-by DOI: https://doi.org/10.47649/vau.26.v80.i1.54

Cybersecurity knowledge graphs

Leslie F. Sikos • Knowledge and Information Systems (2023)

Abstract Cybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based data model, provide holistic approaches for processing massive volumes of complex cybersecurity data derived from diverse sources. They can assist s...

OPENALEX cc-by DOI: https://doi.org/10.1007/s10115-023-01860-3