Intrusion response systems: Foundations, design, and challenges

Z Inayat, A Gani, NB Anuar, MK Khan… - Journal of Network and …, 2016 - Elsevier
In the last few decades, various network attacks have emerged. This phenomenon requires
serious consideration to address its extensive consequences. To overcome the effects of …

[PDF][PDF] Intrusion response systems: survey and taxonomy

A Shameli-Sendi, N Ezzati-Jivan… - Int. J. Comput. Sci …, 2012 - researchgate.net
This paper presents a taxonomy of intrusion response systems (IRS), classifying a number of
research papers published during the past decade that provide us with many valuable …

[图书][B] DDoS attacks: evolution, detection, prevention, reaction, and tolerance

DK Bhattacharyya, JK Kalita - 2016 - books.google.com
This book discusses the evolution of distributed denial-of-service (DDoS) attacks, how to
detect a DDoS attack when one is mounted, how to prevent such attacks from taking place …

Taxonomy of intrusion risk assessment and response system

A Shameli-Sendi, M Cheriet, A Hamou-Lhadj - Computers & Security, 2014 - Elsevier
In recent years, we have seen notable changes in the way attackers infiltrate computer
systems compromising their functionality. Research in intrusion detection systems aims to …

[PDF][PDF] Real time intrusion prediction based on optimized alerts with hidden Markov model

AS Sendi, M Dagenais, M Jabbarifar… - Journal of …, 2012 - researchgate.net
Cyber attacks and malicious activities are rapidly becoming a major threat to proper secure
organization. Many security tools may be installed in distributed systems and monitor all …

A comprehensive approach for network attack forecasting

M GhasemiGol, A Ghaemi-Bafghi, H Takabi - computers & security, 2016 - Elsevier
Forecasting future attacks is a big challenge for network administrators because future is
generally unknown. Nevertheless, some information about the future can help us make …

A hybrid model-free approach for the near-optimal intrusion response control of non-stationary systems

S Iannucci, V Cardellini, OD Barba… - Future Generation …, 2020 - Elsevier
Given the always increasing size of computer systems, manually protecting them in case of
attacks is unfeasible and error-prone. For this reason, until now, several model-based …

[HTML][HTML] irs-partition: An Intrusion Response System utilizing Deep Q-Networks and system partitions

V Cardellini, E Casalicchio, S Iannucci, M Lucantonio… - SoftwareX, 2022 - Elsevier
Intrusion Response is a relatively new field of research. Recent approaches for the creation
of Intrusion Response Systems (IRSs) use Reinforcement Learning (RL) as a primary …

ORCEF: Online response cost evaluation framework for intrusion response system

A Shameli-Sendi, M Dagenais - Journal of Network and Computer …, 2015 - Elsevier
Response cost evaluation is a major part of the Intrusion Response System (IRS). Although
many automated IRSs have been proposed, most of them use statically evaluated …

Intrusion response systems: Past, present and future

PK Chouhan, A Beard, L Chen - arXiv preprint arXiv:2303.03070, 2023 - arxiv.org
The rapid expansion of the Internet of Things and the emergence of edge computing-based
applications has led to a new wave of cyber-attacks, with intensity and complexity that has …