Iot network cybersecurity assessment with the associated random neural network
This paper proposes a method to assess the security of an device, or IP address, IoT
network by simultaneously identifying all the compromised IoT devices and IP addresses. It …
network by simultaneously identifying all the compromised IoT devices and IP addresses. It …
A survey: contribution of ML & DL to the detection & prevention of botnet attacks
Abstract Machine Learning (ML) and Deep Learning (DL) are transforming the detection and
prevention of botnets, significant threats in cybersecurity. In this survey, we highlight the shift …
prevention of botnets, significant threats in cybersecurity. In this survey, we highlight the shift …
[PDF][PDF] Attack Detection, Mitigation and Energy Optimization: Some Recent EU Projects
MU Caglayan, E Gelenbe - researchgate.net
This article summarizes briefly the contributions presented in this EuroCyberSecurity
Workshop 2021 which is organized as part of the series of International Symposia on …
Workshop 2021 which is organized as part of the series of International Symposia on …
[PDF][PDF] Cyberattack Detection, Mitigation and Energy Optimization: Review of Some Recent EU Projects
MU Caglayan, E Gelenbe - researchgate.net
This article summarizes some of the research contributions of several EU Projects including
NEMESYS, GHOST, KONFIDO, SDK4ED, SerIoT and IoTAC, primarily with a cybersecurity …
NEMESYS, GHOST, KONFIDO, SDK4ED, SerIoT and IoTAC, primarily with a cybersecurity …