With increasingly more uses such as surveillance, delivery, and environmental monitoring, UAVs operating in these applications are increasingly targeted by cyber attacks which compromise functionality ...

The major contribution of the article is the proposition of machine learning approach to model normal behaviour of application and to detect cyber attacks. The model consists of patterns (in form of ...

Citation: Aziz S, Irshad M, Haider SA, Wu J, Deng DN and Ahmad S (2022) Protection of a smart grid with the detection of cyber- malware attacks using efficient and novel machine learning models. Front ...

Cyber Security: Development of Network Intrusion Detection System (NIDS), with Machine Learning and Deep Learning (RNN) models, MERN web I/O System. The deployed project link is as follows. - MohdS ...

By Dr. May Wang, CTO of IoT Security at Palo Alto Networks and the Co-founder, Chief Technology Officer (CTO), and board member of Zingbox - Why has machine learning become so vital in cybersecurity?

Catch is the unsupervised version of Webhawk which is a supervised machine learning based cyber-attack detection tool. In contrary to the supervised Webhawk, Catch can be used without manually ...

Thankfully, artificial intelligence (AI) and machine learning (ML) have emerged as formidable allies in this ongoing battle, offering innovative approaches to detect and prevent cyber threats ...

-Target: User accounts using "Shadankun" and "WafCharm" -Method: Analysis of attack logs observed by "Shadankun" and "WafCharm" Status of cyber-attacks around Golden Week 2020 Looking at the ...