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Building reliable distributed systems with CORBA

S. Landis, Silvano Maffeis • Theory and Practice of Object Systems (1997)

New classes of large-scale distributed applications will have to deal with unpredictable communication delays, with partial failures, and with networks that partition. In addition, sophisticated applications such as teleconferencing, video-...

OPENALEX DOI: https://doi.org/10.1002/(sici)1096-9942(1997)3:1<31::aid-tapo4>3.0.co;2-a

Distributed Systems

Sukumar Ghosh • Chapman & Hall/CRC eBooks (2006)

Most applications in distributed computing center around a set of common subproblems. Distributed Systems: An Algorithmic Approach presents the algorithmic issues and necessary background theory that are needed to properly understand these ...

OPENALEX DOI: https://doi.org/10.1201/9781420010848

Cybersecurity

Aysha Ebrahim Abdulla, Omer Bin Hussain, Numa Fatima • International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA) (2024)

Cybersecurity is not just making lede in news but is also attracting more attention than ever before among businesses, industries, academicians, and the common users. As the adversaries flourish the frequency of cyberattacks have increased ...

OPENALEX DOI: https://doi.org/10.1109/acdsa59508.2024.10467741

Cybersecurity

Brittany Bullard • Wiley eBooks (2016)

As the digital landscape evolves, cyberattacks are at an all-time high. Data breaches have caused a large amount of turmoil in the retail industry. Customers must feel that they are able to make a purchase without fearing that their sensiti...

OPENALEX DOI: https://doi.org/10.1002/9781119271260.ch8

Blockchain for CyberSecurity

Aayush Manish Chitnis • International Journal of Science and Research (IJSR) (2024)

In an increasingly interconnected digital world, the rise in sophisticated cyberattacks pose significant threats to individuals, businesses and governments.This research paper explores the role of blockchain technology in enhancing cybersec...

OPENALEX other-oa DOI: https://doi.org/10.21275/sr24811013654

Cybersecurity for eHealth

Emmanuel C. Ogu • Routledge eBooks (2021)

The modern realities of cybersecurity have uncovered the unpreparedness of many sectors and industries to deal with emerging threats. One of these sectors is the healthcare industry. The pervasiveness and proliferation of digital innovation...

OPENALEX DOI: https://doi.org/10.1201/9781003254416

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

Blockchain for secure and decentralized artificial intelligence in cybersecurity: A comprehensive review

Ahmed M. Shamsan Saleh • Blockchain Research and Applications (2024)

As the usage of artificial intelligence (AI) grows within the field of cybersecurity, so too does the demand for secure and decentralized AI systems to protect against potential cyber threats. Blockchain technology (BT) has emerged as the i...

OPENALEX cc-by-nc-nd DOI: https://doi.org/10.1016/j.bcra.2024.100193

The Landscape of Cybersecurity

Jason Edwards, Griffin Weaver • Wiley eBooks (2024)

Cybersecurity is a critical concern across all sectors in our increasingly digital world. The shift toward digitization, which the global pandemic has further accelerated, has essentially turned cybersecurity into a universal concern. The f...

OPENALEX Open Access DOI: https://doi.org/10.1002/9781394250226.ch2

Cybersecurity for Industry 5.0: trends and gaps

Ravdeep Kour, Ramin Karim, Pierre Dersin, Naveen Venkatesh Sridharan • Frontiers in Computer Science (2024)

Industry 5.0 promises to revolutionize the industry by focusing on human-centric, sustainability, and resilience empowered by emerging technologies such as Artificial Intelligence (AI) and digitalization. This paradigm shift is expected to ...

OPENALEX cc-by DOI: https://doi.org/10.3389/fcomp.2024.1434436

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

Cybersecurity, safety and robots: Strengthening the link between cybersecurity and safety in the context of care robots

Eduard Fosch‐Villaronga, Tobias Mahler • Computer law & security review (2021)

This paper addresses the interplay between robots, cybersecurity, and safety from a European legal perspective, a topic under-explored by current technical and legal literature. The legal framework, together with technical standards, is a n...

OPENALEX cc-by DOI: https://doi.org/10.1016/j.clsr.2021.105528

The protoscience of cybersecurity

Eric Hatleback • The Journal of Defense Modeling and Simulation Applications Methodology Technology (2017)

I argue that marking a proper distinction between two types of research in the cybersecurity field obviates the present debate concerning a “science of cybersecurity.” Once the terminology has been properly disambiguated, the accurate descr...

OPENALEX cc-by-nc DOI: https://doi.org/10.1177/1548512917737635

Machine learning in cybersecurity: a comprehensive survey

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...

OPENALEX DOI: https://doi.org/10.1177/1548512920951275

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

Cybersecurity

Matthew N.O. Sadiku • CRC Press eBooks (2019)

This chapter begins with cybersecurity features. It covers various forms of cyber threats: cyberattacks, cyberterrorism, and cyberbullying. The chapter addresses cybersecurity governance and the trade-offs between cybersecurity and freedom....

OPENALEX DOI: https://doi.org/10.1201/9780429020247-5

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