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With the recent developments in artificial intelligence and machine learning, anomalies in network traffic can be detected using machine learning approaches.
1998 darpa intrusion detection evaluation dataset
MIT · 1998
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A framework for constructing features and models for intrusion detection systems
Wenke. Lee and Salvatore Stoflo · 2000
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A reconfigurable architecture for network intrusion detection using principal component analysis
David Nguyen, Gokhan Memik, and Alok Choudhary · 2006
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Intrusion detection using naive bayes classifier with feature reduction
Saurabh Mukherjee and Neelam Sharma · 2012
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Intrusion detection system using support vector machine
Jayshree Jha and Leena Ragha · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Explaining and harnessing adversarial examples
Ian Goodfellow, Jonathan Shlens, and Yoshua Bengio · 2015
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Adversarial attacks and defenses in images, graphs and text: A review
Han Xu, Yao Ma, Haochen Liu, Debayan Deb, Hui Liu, and Jiliang Tang · 2015
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Performance analysis of snort-based intrusion detection system
Akash Garg and Prachi Maheshwari · 2016
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Effective data generation for imbalanced learning using conditional generative adversarial networks
Georgios Douzas and Fernando Bação · 2017
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Performance evaluation of intrusion detection based on machine learning using apache spark
Mustapha Belouch, Salah El hadaj, and Mohamed Idhammad · 2018
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Robust physical-world attacks on deep learning models
K. Eykholt, I. Evtimov, E. Fernandes, B. Li, A. Rahmati, C Xiao, A Prakash, T. Kohno, and D. Song · 2018
Cited alongside, same era.
Big data: Controlling fraud by using machine learning libraries on spark
Sevcan Korkmaz and Ferhat Karataş · 2018
Cited alongside, same era.
Detecting egregious responses in neural sequence-to-sequence models
A novel statistical analysis and autoencoder driven intelligent intrusion detection approach
Cosimo Ieracitano, Ahsan Adeel, Francesco Morabito, and Amir Hussain · 2019
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Real-life cyber-attacks you probably never heard about
Cyber MDX · 2019
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Hacking the hackers: Adversarial ai and how to fight it
Security Boulevard · 2020
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Why 2020 will be the year artificial intelligence stops being optional for security
Security Boulevard · 2020
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U.s. and europe’s cyber readiness numbers stall as cyberattack numbers soar
CISO MAG · 2020
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Israel cyber chief: We must protect ai-based vehicles from hacking
Jewish Post · 2020
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He Tianxing and James Glass · 2018
Cited alongside, same era.
Ieee bigdata 2019 cup: Suspicious network event recognition., 2019
Agnieszka Chadzynska-Krasowska Bartek Konarsk Joel Holland Dominik Slezak Andrzej Janusz, Daniel Kałuza · 2019
Cited alongside, same era.
Intrusion detection in smart cities using restricted boltzmann machines
Asmaa Elsaeidy, Kumudu Munasinghe, Dharmendra Sharma, and Abbas Jamalipour · 2019
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Network intrusion detection using random forests
Jiong Zhang and Mohammad Zulkernine
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Ai email phishing prevention
BD Tech talks · 2020
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