Metamorphic malware and obfuscation: a survey of techniques, variants, and generation kits

K Brezinski, K Ferens - Security and Communication Networks, 2023 - Wiley Online Library
The competing landscape between malware authors and security analysts is an ever‐
changing battlefield over who can innovate over the other. While security analysts are …

Detecting network cyber-attacks using an integrated statistical approach

B Bouyeddou, F Harrou, B Kadri, Y Sun - Cluster Computing, 2021 - Springer
Anomaly detection in the Internet of Things (IoT) is imperative to improve its reliability and
safety. Detecting denial of service (DOS) and distributed DOS (DDOS) is one of the critical …

[HTML][HTML] DDOS-attacks detection using an efficient measurement-based statistical mechanism

B Bouyeddou, B Kadri, F Harrou, Y Sun - Engineering Science and …, 2020 - Elsevier
A monitoring mechanism is vital for detecting malicious attacks against cyber systems.
Detecting denial of service (DOS) and distributed DOS (DDOS) is one of the most important …

Detection and prevention of DDoS attacks on M-healthcare sensitive data: a novel approach

S Ray, KN Mishra, S Dutta - International Journal of Information …, 2022 - Springer
In today's world m-Health (also termed as Mobile Health) is an integral part of the healthcare
industry. M-health uses various kinds of mobile devices such as mobile phones, personal …

Human-in-the-loop cyber intrusion detection using active learning

Y Kim, G Dán, Q Zhu - IEEE Transactions on Information …, 2024 - ieeexplore.ieee.org
Timely detection of cyber attacks is essential for minimizing attack impact, but it requires
accurate real-time situational awareness (SA). In practice, SA is hampered by frequent false …

Packet Analysis and Information Theory on Attack Detection for Modbus TCP

T Nishiuchi, S Fujita, Y Watanabe… - IECON 2023-49th …, 2023 - ieeexplore.ieee.org
Cyber attacks on control system communication are increasing. In information systems, a lot
of security counter-measure focusing on the distribution of communication packets has been …

Nonparametric Kullback-Leibler distance-based method for networks intrusion detection

B Bouyeddou, B Kadri, F Harrou… - … Conference on Data …, 2020 - ieeexplore.ieee.org
Anomaly detection enables identifying atypical events in network systems. Revealing denial
of service (DOS) and distributed DOS (DDOS) is a critical security challenge confronting …

DDOS attacks detection based on attention-deep learning and local outlier factor

A Dairi, B Khaldi, F Harrou, Y Sun - 2022 Seventh International …, 2022 - ieeexplore.ieee.org
One of the most significant security concerns confronting network technology is the detection
of distributed denial of service (DDOS). This paper introduces a semi-supervised data-driven …

Complexity-based graph attention network for metamorphic malware detection

K Brezinski - 2024 - mspace.lib.umanitoba.ca
This thesis work presents a new approach to malware analysis by creating a specialized
sandbox environment for executing and monitoring malware on a host operating system …

A simple cyber attack detection scheme for smart grid cyber security enhancement

S De, R Sodhi - 2020 21st National Power Systems …, 2020 - ieeexplore.ieee.org
This paper proposes a simple framework for the detection of statistically crafted cyber-
attacks, viz., random attacks, denial of service (DoS) attacks, False data injection (FDI) …