[HTML][HTML] Attacker behaviour forecasting using methods of intelligent data analysis: A comparative review and prospects
Early detection of the security incidents and correct forecasting of the attack development is
the basis for the efficient and timely response to cyber threats. The development of the attack …
the basis for the efficient and timely response to cyber threats. The development of the attack …
Modeling and analyzing attacker behavior in IoT botnet using temporal convolution network (TCN)
F Sadique, S Sengupta - Computers & Security, 2022 - Elsevier
Traditional reactive approach of blacklisting botnets fails to adapt to the rapidly evolving
landscape of cyberattacks. An automated and proactive approach to detect and block botnet …
landscape of cyberattacks. An automated and proactive approach to detect and block botnet …
Attacker behaviour profiling using stochastic ensemble of hidden Markov models
S Deshmukh, R Rade, DF Kazi - arXiv preprint arXiv:1905.11824, 2019 - arxiv.org
Cyber threat intelligence is one of the emerging areas of focus in information security. Much
of the recent work has focused on rule-based methods and detection of network attacks …
of the recent work has focused on rule-based methods and detection of network attacks …
Analysis of attacker behavior in compromised hosts during command and control
F Sadique, S Sengupta - ICC 2021-IEEE International …, 2021 - ieeexplore.ieee.org
Traditional reactive approach of blacklisting botnets fails to adapt to the rapidly evolving
landscape of cyberattacks. An automated and proactive approach to detect and block botnet …
landscape of cyberattacks. An automated and proactive approach to detect and block botnet …
Unsupervised attack pattern detection in honeypot data using Bayesian topic modelling
FS Passino, A Mantziou, D Ghani, P Thiede… - arXiv preprint arXiv …, 2023 - arxiv.org
Cyber-systems are under near-constant threat from intrusion attempts. Attacks types vary,
but each attempt typically has a specific underlying intent, and the perpetrators are typically …
but each attempt typically has a specific underlying intent, and the perpetrators are typically …
Enhanced Malware Prediction and Containment Using Bayesian Neural Networks
Z Jamadi, AG Aghdam - IEEE Journal of Radio Frequency …, 2024 - ieeexplore.ieee.org
In this paper, we present an integrated framework leveraging natural language processing
(NLP) techniques and machine learning (ML) algorithms to detect malware at its early stage …
(NLP) techniques and machine learning (ML) algorithms to detect malware at its early stage …