Intrusion Detection

Intrusion detection focuses on automatically identifying malicious activities within computer networks and systems, aiming to enhance cybersecurity. Current research emphasizes the application of machine learning, particularly deep learning models like transformers, recurrent neural networks (RNNs), and graph neural networks (GNNs), often combined with ensemble methods and autoencoders for feature extraction and improved accuracy. This field is crucial for protecting diverse systems, from IoT devices and 5G networks to autonomous vehicles and industrial control systems, and advancements in intrusion detection directly impact the security and reliability of critical infrastructure and everyday technologies.

Papers

May 23, 2022

FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing
Helio N. Cunha Neto, Ivana Dusparic, Diogo M. F. Mattos, Natalia C. Fernandes
Intrusion Detection Intrusion Detection System Attack Detection Collaborative Environment Federated Automatic Differentiation

May 17, 2022

Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes
Shaleeza Sohail, Zongwen Fan, Xin Gu, Fariza Sabrina
Neural Network Intrusion Detection Attack Detection Smart Home

May 14, 2022

Unsupervised Abnormal Traffic Detection through Topological Flow Analysis
Paul Irofti, Andrei Pătraşcu, Andrei Iulian Hîji
Anomaly Detection Unsupervised Anomaly Detection Intrusion Detection Malicious Traffic Malicious Attack

April 26, 2022

A review of Federated Learning in Intrusion Detection Systems for IoT
Aitor Belenguer, Javier Navaridas, Jose A. Pascual
Narrative Review Intrusion Detection Detection Model Intrusion Detection System IOT Technology Federated Learning Approach

April 20, 2022

ARLIF-IDS -- Attention augmented Real-Time Isolation Forest Intrusion Detection System
Aman Priyanshu, Sarthak Shastri, Sai Sravan Medicherla
Human Attention Intrusion Detection Distributed Denial of Service ID Problem NSL KDD Isolation Based Anomaly

April 11, 2022

Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach
Sk. Tanzir Mehedi, Adnan Anwar, Ziaur Rahman, Kawsar Ahmed, Rafiqul Islam
Intrusion Detection Learning Based Approach Internet of Thing Network Deep Transfer Certified Defense Sustainable IoT

April 5, 2022

Towards Explainable Meta-Learning for DDoS Detection
Qianru Zhou, Rongzhen Li, Lei Xu, Arumugam Nallanathan, Jian Yang, Anmin Fu
Meta Learning Intrusion Detection Interpretable AI Distributed Denial of Service Artificial Immune System

April 1, 2022

Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks
Ayesha S. Dina, A. B. Siddique, D. Manivannan
Machine Learning Synthetic Data Intrusion Detection Intrusion Detection System Imbalanced Data Machine Learning Classifier Computer Network Data Balancing NSL KDD

March 9, 2022

The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems
Giovanni Apruzzese, Luca Pajola, Mauro Conti
Intrusion Detection Network Intrusion Detection Supervised Machine Learning Network Intrusion Detection System Cross Article Comparison

March 8, 2022

Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection
João Vitorino, Nuno Oliveira, Isabel Praça
Adversarial Attack Adversarial Example Adversarial Training Intrusion Detection Untargeted Attack Realistic Adversarial Perturbation Artifact

March 1, 2022

Unified Physical Threat Monitoring System Aided by Virtual Building Simulation
Zenjie Li, Barry Norton
Intrusion Detection Video Surveillance Building Energy

February 24, 2022

Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations
Muhammad Azmi Umer, Khurum Nazir Junejo, Muhammad Taha Jilani, Aditya P. Mathur
Machine Learning Anomaly Detection Technical Challenge Financial Application Intrusion Detection Cyber Attack Industrial Control

February 2, 2022

Minimizing Expected Intrusion Detection Time in Adversarial Patrolling
David Klaška, Antonín Kučera, Vít Musil, Vojtěch Řehák
Intrusion Detection Differentiable Programming Strategy Synthesis Multiple Defender

January 27, 2022

Early Detection of Network Attacks Using Deep Learning
Tanwir Ahmad, Dragos Truscan, Juri Vain, Ivan Porres
Deep Learning Intrusion Detection Early Detection Intrusion Detection System Network Intrusion Detection Network Attack

January 3, 2022

Feature Selection-based Intrusion Detection System Using Genetic Whale Optimization Algorithm and Sample-based Classification
Amir Mojtahedi, Farid Sorouri, Alireza Najafi Souha, Aidin Molazadeh, Saeedeh Shafaei Mehr
Intrusion Detection Network Intrusion Detection Sensor Network Malicious Node Whale Optimization Algorithm Learning Based Intrusion Detection

December 16, 2021

A Heterogeneous Graph Learning Model for Cyber-Attack Detection
Mingqi Lv, Chengyu Dong, Tieming Chen, Tiantian Zhu, Qijie Song, Yuan Fan
Intrusion Detection Cyber Attack Heterogeneous Graph Learning Cyber Attack Detection

November 27, 2021

Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection
Hooman Alavizadeh, Julian Jang-Jaccard, Hootan Alavizadeh
Q Learning Intrusion Detection Network Intrusion Detection Deep Q Learning Reinforcement Learning Approach

November 26, 2021

Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms
Liyan Chang, Paula Branco
Graph Neural Network Practical Algorithm Graph Attention Network Intrusion Detection Graph Based Approach E Graph

November 25, 2021

A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection
João Vitorino, Rui Andrade, Isabel Praça, Orlando Sousa, Eva Maia
Machine Learning Comparative Study Internet of Thing Intrusion Detection IoT Intrusion Detection

November 20, 2021

Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach
Abhijeet Sahu, Katherine Davis
Cross Domain Intrusion Detection Power System Cyber Physical Attack Detection Meta Heuristic Man in the Middle Attack Wireless Sensing Sensor Attack

Intrusion Detection

Papers

FedSA: Accelerating Intrusion Detection in Collaborative Environments with Federated Simulated Annealing

Explainable and Optimally Configured Artificial Neural Networks for Attack Detection in Smart Homes

Unsupervised Abnormal Traffic Detection through Topological Flow Analysis

A review of Federated Learning in Intrusion Detection Systems for IoT

ARLIF-IDS -- Attention augmented Real-Time Isolation Forest Intrusion Detection System

Dependable Intrusion Detection System for IoT: A Deep Transfer Learning-based Approach

Towards Explainable Meta-Learning for DDoS Detection

Effect of Balancing Data Using Synthetic Data on the Performance of Machine Learning Classifiers for Intrusion Detection in Computer Networks

The Cross-evaluation of Machine Learning-based Network Intrusion Detection Systems

Adaptative Perturbation Patterns: Realistic Adversarial Learning for Robust Intrusion Detection

Unified Physical Threat Monitoring System Aided by Virtual Building Simulation

Machine Learning for Intrusion Detection in Industrial Control Systems: Applications, Challenges, and Recommendations

Minimizing Expected Intrusion Detection Time in Adversarial Patrolling

Early Detection of Network Attacks Using Deep Learning

Feature Selection-based Intrusion Detection System Using Genetic Whale Optimization Algorithm and Sample-based Classification

A Heterogeneous Graph Learning Model for Cyber-Attack Detection

Deep Q-Learning based Reinforcement Learning Approach for Network Intrusion Detection

Graph-based Solutions with Residuals for Intrusion Detection: the Modified E-GraphSAGE and E-ResGAT Algorithms

A Comparative Analysis of Machine Learning Techniques for IoT Intrusion Detection

Inter-Domain Fusion for Enhanced Intrusion Detection in Power Systems: An Evidence Theoretic and Meta-Heuristic Approach