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Keyword

network attack detection

Description: The cybersecurity task of identifying malicious activity targeting computer networks through traffic analysis, intrusion detection, or related techniques.
OpenAlex ID: keywords/network-attack-detection
Intrusion detection by machine learning: A review
2009 · Chih-Fong Tsai, Yu-Feng Hsu, et al. · Expert Systems with Applications · 969
A Comparative Study of Anomaly Detection Schemes in Network Intrusion Detection
2003 · Aleksandar Lazarevic, Levent Ertoz, et al. · SIAM International Conference on Data Mining · 870
Performance Analysis of Intrusion Detection Systems Using a Feature Selection Method on the UNSW-NB15 Dataset
2020 · Sydney M. Kasongo, Yanxia Sun · Journal Of Big Data · 571
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Multi-level hybrid support vector machine and extreme learning machine based on modified K-means for intrusion detection system
2016 · Wathiq Laftah Al-Yaseen, Zulaiha Ali Othman, et al. · Expert Systems with Applications · 454
A bidirectional LSTM deep learning approach for intrusion detection
2021 · Yakubu Imrana, Yanping Xiang, et al. · Expert Systems with Applications · 435
Detecting stepping stones
2000 · Yin Zhang⋆, Vern Paxson · 390
DeepCoin: A Novel Deep Learning and Blockchain-Based Energy Exchange Framework for Smart Grids
2019 · Mohamed Amine Ferrag, Leandros Maglaras · IEEE Transactions on Engineering Management · 358
Deep Learning-Based Intrusion Detection Systems: A Systematic Review
2021 · Jan Lansky, Saqib Ali, et al. · IEEE Access · 336
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DDoSNet: A Deep-Learning Model for Detecting Network Attacks
2020 · Mahmoud Said Elsayed, Nhien-An Le-Khac, et al. · IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) · 316
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Beehive
2013 · Ting-Fang Yen, Alina Oprea, et al. · Annual Computer Security Applications Conference · 270
NVisionIP
2004 · Kiran Lakkaraju, William Yurcik, et al. · 244
A deep auto-encoder based approach for intrusion detection system
2018 · Fahimeh Farahnakian, Jukka Heikkonen · International Conference on Advanced Communication Technology · 230
Estimating flow distributions from sampled flow statistics
2003 · Nick Duffield, Carsten Lund, et al. · ACM SIGCOMM Conference on Applications, Technologies, Architectures, and Protocols for Computer Communications (SIGCOMM) · 230
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Secure Intelligent Fuzzy Blockchain Framework: Effective Threat Detection in IoT Networks
2022 · Abbas Yazdinejad, Ali Dehghantanha, et al. · Computers in Industry · 228
Real-Time Lateral Movement Detection Based on Evidence Reasoning Network for Edge Computing Environment
2019 · Zhihong Tian, Wei Shi, et al. · IEEE Transactions on Industrial Informatics · 226
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An intelligent algorithm with feature selection and decision rules applied to anomaly intrusion detection
2012 · Shih-Wei Lin, Kuo-Ching Ying, et al. · Applied Soft Computing · 226
CNN and RNN based payload classification methods for attack detection
2018 · Hongyu Liu, Bo Lang, et al. · Knowledge-Based Systems · 210
A Deep Learning Approach for Intrusion Detection in Internet of Things using Bi-Directional Long Short-Term Memory Recurrent Neural Network
2018 · Bipraneel Roy, Hon Cheung · International Telecommunication Networks and Applications Conference (ITNAC) · 205
SS7 Vulnerabilities—A Survey and Implementation of Machine Learning vs Rule Based Filtering for Detection of SS7 Network Attacks
2020 · Kaleem Ullah, Imran Rashid, et al. · IEEE Communications Surveys & Tutorials · 190
Improving performance of intrusion detection system using ensemble methods and feature selection
2018 · Ngoc Tu Pham, Ernest Foo, et al. · Australasian Computer Science Week Multiconference (ACSW) · 184
Adversarial Machine Learning Attacks against Intrusion Detection Systems: A Survey on Strategies and Defense
2023 · Afnan Alotaibi, Murad A. Rassam · Future Internet · 178
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Dependable Intrusion Detection System for IoT: A Deep Transfer Learning Based Approach
2022 · Sk. Tanzir Mehedi, Adnan Anwar, et al. · IEEE Transactions on Industrial Informatics · 177
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Deep Learning Approach for SDN-Enabled Intrusion Detection System in IoT Networks
2023 · Rajasekhar Chaganti, Wael Suliman, et al. · Information · 173
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A real-time and ubiquitous network attack detection based on deep belief network and support vector machine
2020 · Hao Zhang, Yongdan Li, et al. · IEEE/CAA Journal of Automatica Sinica · 173
G-IDS: Generative Adversarial Networks Assisted Intrusion Detection System
2020 · Md Hasan Shahriar, Nur Imtiazul Haque, et al. · IEEE Annual Computers, Software, and Applications Conference (COMPSAC) · 166
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Works count: 3,791
Citation count: 33,140
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