Understanding O-RAN: Architecture, interfaces, algorithms, security, and research challenges
The Open Radio Access Network (RAN) and its embodiment through the O-RAN Alliance
specifications are poised to revolutionize the telecom ecosystem. O-RAN promotes …
specifications are poised to revolutionize the telecom ecosystem. O-RAN promotes …
Explainable intrusion detection for cyber defences in the internet of things: Opportunities and solutions
N Moustafa, N Koroniotis, M Keshk… - … Surveys & Tutorials, 2023 - ieeexplore.ieee.org
The field of Explainable Artificial Intelligence (XAI) has garnered considerable research
attention in recent years, aiming to provide interpretability and confidence to the inner …
attention in recent years, aiming to provide interpretability and confidence to the inner …
A survey on machine learning techniques for cyber security in the last decade
Pervasive growth and usage of the Internet and mobile applications have expanded
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
cyberspace. The cyberspace has become more vulnerable to automated and prolonged …
The role of machine learning in cybersecurity
Machine Learning (ML) represents a pivotal technology for current and future information
systems, and many domains already leverage the capabilities of ML. However, deployment …
systems, and many domains already leverage the capabilities of ML. However, deployment …
A review of deep reinforcement learning for smart building energy management
Global buildings account for about 30% of the total energy consumption and carbon
emission, raising severe energy and environmental concerns. Therefore, it is significant and …
emission, raising severe energy and environmental concerns. Therefore, it is significant and …
A survey of machine and deep learning methods for internet of things (IoT) security
The Internet of Things (IoT) integrates billions of smart devices that can communicate with
one another with minimal human intervention. IoT is one of the fastest developing fields in …
one another with minimal human intervention. IoT is one of the fastest developing fields in …
A survey on deep learning for cybersecurity: Progress, challenges, and opportunities
As the number of Internet-connected systems rises, cyber analysts find it increasingly difficult
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
to effectively monitor the produced volume of data, its velocity and diversity. Signature-based …
Artificial intelligence-based cyber security in the context of industry 4.0—a survey
AJG De Azambuja, C Plesker, K Schützer, R Anderl… - Electronics, 2023 - mdpi.com
The increase in cyber-attacks impacts the performance of organizations in the industrial
sector, exploiting the vulnerabilities of networked machines. The increasing digitization and …
sector, exploiting the vulnerabilities of networked machines. The increasing digitization and …
The ai-based cyber threat landscape: A survey
Recent advancements in artificial intelligence (AI) technologies have induced tremendous
growth in innovation and automation. Although these AI technologies offer significant …
growth in innovation and automation. Although these AI technologies offer significant …
A novel method for improving the robustness of deep learning-based malware detectors against adversarial attacks
Malware is constantly evolving with rising concern for cyberspace. Deep learning-based
malware detectors are being used as a potential solution. However, these detectors are …
malware detectors are being used as a potential solution. However, these detectors are …