Machine learning is of rising importance in cybersecurity. The primary objective of applying
machine learning in cybersecurity is to make the process of malware detection more …

With the rising demand for E-commerce, Social Networking websites, it has become
essential to develop security protocols over the World Wide Web that can provide security …

Cybersecurity is a fast-evolving discipline that is always in the news over the last decade, as
the number of threats rises and cybercriminals constantly endeavor to stay a step ahead of …

There is a wide range of interdisciplinary intersections between cyber security and artificial
intelligence (AI). On one hand, AI technologies, such as deep learning, can be introduced …

Detection of cyber attacks against vehicles is of growing interest. As vehicles typically afford
limited processing resources, proposed solutions are rule-based or lightweight machine …

Abstract Unmanned Aerial Vehicles (UAVs) are seeing increased use in critical operations
for law enforcement, military, industrial control surveillance and more. These hostile …

With the growing threat of cyber and cyber-physical attacks against automobiles, drones,
ships, driverless pods and other vehicles, there is also a growing need for intrusion …

Recently, network attacks launched by malicious attackers have seriously affected modern
life and enterprise production, and these network attack samples have the characteristic of …

The performance of Artificial Intelligence (AI) systems reaches or even exceeds that of
humans in an increasing number of complicated tasks. Highly effective non-linear AI models …

The high relying of electric vehicles on either in-vehicle or between-vehicle communications
can cause big issues in the system. This paper is going to mainly address the cyberattack in …