Ai-driven cybersecurity: an overview, security intelligence modeling and research directions

IH Sarker, MH Furhad, R Nowrozy - SN Computer Science, 2021 - Springer
Artificial intelligence (AI) is one of the key technologies of the Fourth Industrial Revolution (or
Industry 4.0), which can be used for the protection of Internet-connected systems from cyber …

A Black‐Box Attack Method against Machine‐Learning‐Based Anomaly Network Flow Detection Models

S Guo, J Zhao, X Li, J Duan, D Mu… - Security and …, 2021 - Wiley Online Library
In recent years, machine learning has made tremendous progress in the fields of computer
vision, natural language processing, and cybersecurity; however, we cannot ignore that …

[PDF][PDF] Network intrusion detection system using deep learning technique

DI Edeh - Master of Science, Department of Computing …, 2021 - utupub.fi
The performance results of the FFDNNs were calculated based on some important metrics
(FPR, FAR, F1 Measure, Precision), and these were compared to the conventional ML …

Ai approaches for iot security analysis

MA Messaad, C Jerad, A Sikora - … : Proceedings of Sixth ISTA 2020, India, 2021 - Springer
IoT networks are increasingly used as entry points for cyberattacks, as often they offer low-
security levels, as they may allow the control of physical systems and as they potentially also …

AI Approaches for IoT Security Analysis

M Abou Messaad, C Jerad… - … Systems, Technologies and …, 2021 - books.google.com
IoT networks are increasingly used as entry points for cyberattacks, as often they offer low-
security levels, as they may allow the control of physical systems and as they potentially also …

An Analytical Perspective of Machine Learning in Cybersecurity

R Kedia, S Agravanshi - Privacy and Security Issues in Big Data: An …, 2021 - Springer
Over the course of this paper, various ways our data can be attacked and misused have
been analyzed and researched. The study observes how high-end cooperations are at risk …