Survey of attack projection, prediction, and forecasting in cyber security

M Husák, J Komárková, E Bou-Harb… - … Surveys & Tutorials, 2018 - ieeexplore.ieee.org
This paper provides a survey of prediction, and forecasting methods used in cyber security.
Four main tasks are discussed first, attack projection and intention recognition, in which …

ALSNAP: Attention-based long and short-period network security situation prediction

D Zhao, P Shen, S Zeng - Ad Hoc Networks, 2023 - Elsevier
Abstract The Internet of Things (IoT) and other emerging communication and network
technologies enable improved efficiency, convenience, and connectivity in various domains …

RNNIDS: Enhancing network intrusion detection systems through deep learning

SM Sohi, JP Seifert, F Ganji - Computers & Security, 2021 - Elsevier
Security of information passing through the Internet is threatened by today's most advanced
malware ranging from orchestrated botnets to simpler polymorphic worms. These threats, as …

Context aware Markov chains models

A Bar, B Shapira, L Rokach - Knowledge-Based Systems, 2023 - Elsevier
For more than a century, Markov chain models have had a tremendous effect on research
and industry alike in various domains such as physics, chemistry, biology, and computer …

[PDF][PDF] Recurrent neural networks for enhancement of signature-based network intrusion detection systems

SM Sohi, F Ganji, JP Seifert - arxiv preprint arxiv:1807.03212, 2018 - researchgate.net
Security of information passing through the Internet is threatened by today's most advanced
malware ranging from orchestrated botnets to much simpler polymorphic worms. These …

Bad data injection attack propagation in cyber-physical power delivery systems

V Chukwuka, YC Chen, S Grijalva… - 2018 Clemson …, 2018 - ieeexplore.ieee.org
The coupling between information, communication and computing elements with the
physical components of power systems introduces new cyber and cyber-physical security …

Predictions of network attacks in collaborative environment

M Husák, P Čeleda - NOMS 2020-2020 IEEE/IFIP Network …, 2020 - ieeexplore.ieee.org
This paper is a digest of the thesis on predicting cyber attacks in a collaborative
environment. While previous works mostly focused on predicting attacks as seen from a …

Machine Learning-based Approach for Enhancing Multi-step Attack Prediction

Y Li, W Fan, R Luo - 2023 24st Asia-Pacific Network Operations …, 2023 - ieeexplore.ieee.org
Attack prediction is an advanced and crucial technology that enables response proactively
for defending against impending attacks before compromising the target. Currently, most …

Data Analytics of a Honeypot System Based on a Markov Decision Process Model

L Wang, R Jones, TC Falls - Recent Trends and Advances in Model Based …, 2022 - Springer
A honeypot system can play a significant role in exposing cybercrimes and maintaining
reliable cybersecurity. Markov decision process (MDP) is an important method in systems …

Research of Information Propagation Path and Distribution of Vulnerable Points Based on Class Cooperative Network

X Zhao, X Hou, J Xue, H Xu, L You… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
With rapid growth in the size of software, applications' code structure becomes more
complex, attacks against vulnerable points can cause huge damage. To solve this problem …