过去一年中添加的文章，按日期排序
New Technologies for Security and Privacy Issues in the Era of Industry 5.0
D Hamouda - 2024 - dspace.univ-guelma.dz
107 天前 - … IoT-based devices. Deploying generative adversarial networks fortifies the system’s
resilience against zero-day and adversarial attacks… deep-learning-based malware detection …
resilience against zero-day and adversarial attacks… deep-learning-based malware detection …
Machine Learning-Based Attack Detection for the Internet of Things
DD Bikila, J Čapek - Available at SSRN 4785042 - papers.ssrn.com
175 天前 - … However, the flaws of current attack detection and feature … robust model trained and
assessed on a recent dataset. … of zero-day and diversity of attacks in the IoT environment is …
assessed on a recent dataset. … of zero-day and diversity of attacks in the IoT environment is …
An Unsupervised Approach for the Detection of Zero-Day DDoS Attacks in IoT Networks
256 天前 - … vulnerabilities in the system to launch zero-day attacks. There … evaluation of various
clustering algorithms for zero-day … learning-based IDS for the detection of zero-day DDoS …
clustering algorithms for zero-day … learning-based IDS for the detection of zero-day DDoS …
Intrusion detection system in internet of things networks using machine learning techniques
MBM Al-Doori - 2023 - openaccess.altinbas.edu.tr
293 天前 - … all types of assaults, including zero-day exploits. Encouraging … This research
proposes a machine learning-based … multi-class attacks, to evaluate the proposed approach. The …
proposes a machine learning-based … multi-class attacks, to evaluate the proposed approach. The …
The robust scheme for intrusion detection system in internet of things
312 天前 - … monitor traffic and detect zero-day attacks. However, recent … In this study, we aim
to assess the efficacy of the robust … For instance, deep reinforcement learning-based IoT was …
to assess the efficacy of the robust … For instance, deep reinforcement learning-based IoT was …