Moving Target Defense Meets Artificial Intelligence-Driven Network: A Comprehensive Survey
Based on emerging Artificial Intelligence (AI) tasks, cloud-edge-terminal architecture can
provide powerful computing, intelligent interconnection, and real-time response, which can …
provide powerful computing, intelligent interconnection, and real-time response, which can …
How to mitigate DDoS intelligently in SD-IoV: A moving target defense approach
Software defined Internet of Vehicles (SD-IoV) is an emerging paradigm for accomplishing
Industrial Internet of Things (IIoT). Unfortunately, SD-IoV still faces security challenges …
Industrial Internet of Things (IIoT). Unfortunately, SD-IoV still faces security challenges …
How to disturb network reconnaissance: a moving target defense approach based on deep reinforcement learning
With the explosive growth of Internet traffic, large sensitive and valuable information is at risk
of cyber attacks, which are mostly preceded by network reconnaissance. A moving target …
of cyber attacks, which are mostly preceded by network reconnaissance. A moving target …
Classification of intrusion cyber‐attacks in smart power grids using deep ensemble learning with metaheuristic‐based optimization
The most advanced power grid design, known as a 'smart power grid', integrates information
and communication technology (ICT) with a conventional grid system to enable remote …
and communication technology (ICT) with a conventional grid system to enable remote …
Intelligent intrusion detection system in smart grid using computational intelligence and machine learning
Smart grid systems enhanced the capability of traditional power networks while being
vulnerable to different types of cyber‐attacks. These vulnerabilities could cause attackers to …
vulnerable to different types of cyber‐attacks. These vulnerabilities could cause attackers to …
Intelligent intrusion detection scheme for smart power-grid using optimized ensemble learning on selected features
The smart grid has gained a reputation as the advanced paradigm of the power grid. It is a
complicated cyber-physical system that combines information and communication …
complicated cyber-physical system that combines information and communication …
Toward attack-resistant route mutation for VANETs: an online and adaptive multiagent reinforcement learning approach
Vehicular Ad hoc Networks (VANETs) are prone to packet drop attacks because of their
inherent distributed architecture and dynamic topology. Existing security schemes mainly …
inherent distributed architecture and dynamic topology. Existing security schemes mainly …
Context-aware adaptive route mutation scheme: A reinforcement learning approach
Moving target defense (MTD) is an emerging proactive defense technology, which can
reduce the risk of vulnerabilities exploited by attacker. As a crucial component of MTD, route …
reduce the risk of vulnerabilities exploited by attacker. As a crucial component of MTD, route …
DQ-MOTAG: deep reinforcement learning-based moving target defense against DDoS attacks
X Chai, Y Wang, C Yan, Y Zhao… - 2020 IEEE Fifth …, 2020 - ieeexplore.ieee.org
The rapid developments of mobile communication and wearable devices greatly improve
our daily life, while the massive entities and emerging services also make Cyber-Physical …
our daily life, while the massive entities and emerging services also make Cyber-Physical …
Q-learning for securing cyber-physical systems: a survey
A cyber-physical system (CPS) is a term that implements mainly three parts, Physical
elements, communication networks, and control systems. Currently, CPS includes the …
elements, communication networks, and control systems. Currently, CPS includes the …