Title / AuthorYear
A deep learning approach for intrusion detection using recurrent neural networks
C Yin, Y Zhu, J Fei, X He
Ieee Access 5, 21954-21961
2017
Smart cities: A survey on data management, security, and enabling technologies
A Gharaibeh, MA Salahuddin, SJ Hussini, A Khreishah, I Khalil, M Guizani, ...
IEEE Communications Surveys & Tutorials 19 (4), 2456-2501
2017
Deep learning in mobile and wireless networking: A survey
C Zhang, P Patras, H Haddadi
IEEE Communications Surveys & Tutorials
2019
Intrusion detection in SCADA systems using machine learning techniques
LA Maglaras, J Jiang
2014 Science and Information Conference, 626-631
2014
A two-layer dimension reduction and two-tier classification model for anomaly-based intrusion detection in IoT backbone networks
HH Pajouh, R Javidan, R Khayami, D Ali, KKR Choo
IEEE Transactions on Emerging Topics in Computing
2016
Detecting crypto-ransomware in IoT networks based on energy consumption footprint
A Azmoodeh, A Dehghantanha, M Conti, KKR Choo
Journal of Ambient Intelligence and Humanized Computing 9 (4), 1141-1152
2018
Malicious URL detection using machine learning: a survey
D Sahoo, C Liu, SCH Hoi
arXiv preprint arXiv:1701.07179
2017
A comprehensive survey on machine learning for networking: evolution, applications and research opportunities
R Boutaba, MA Salahuddin, N Limam, S Ayoubi, N Shahriar, ...
Journal of Internet Services and Applications 9 (1), 16
2018
A novel approach for internet traffic classification based on multi-objective evolutionary fuzzy classifiers
P Ducange, G Mannarà, F Marcelloni, R Pecori, M Vecchio
2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6
2017
Kitsune: an ensemble of autoencoders for online network intrusion detection
Y Mirsky, T Doitshman, Y Elovici, A Shabtai
arXiv preprint arXiv:1802.09089
2018
An overview on application of machine learning techniques in optical networks
F Musumeci, C Rottondi, A Nag, I Macaluso, D Zibar, M Ruffini, ...
IEEE Communications Surveys & Tutorials 21 (2), 1383-1408
2018
Security for 4G and 5G cellular networks: A survey of existing authentication and privacy-preserving schemes
MA Ferrag, L Maglaras, A Argyriou, D Kosmanos, H Janicke
Journal of Network and Computer Applications 101, 55-82
2018
The internet of things: Opportunities and challenges for distributed data analysis
M Stolpe
ACM SIGKDD Explorations Newsletter 18 (1), 15-34
2016
Machine learning and deep learning methods for cybersecurity
Y Xin, L Kong, Z Liu, Y Chen, Y Li, H Zhu, M Gao, H Hou, C Wang
IEEE Access 6, 35365-35381
2018
A GA-LR wrapper approach for feature selection in network intrusion detection
C Khammassi, S Krichen
computers & security 70, 255-277
2017
A survey of deep learning: platforms, applications and emerging research trends
WG Hatcher, W Yu
IEEE Access 6, 24411-24432
2018
HAST-IDS: Learning hierarchical spatial-temporal features using deep neural networks to improve intrusion detection
W Wang, Y Sheng, J Wang, X Zeng, X Ye, Y Huang, M Zhu
IEEE Access 6, 1792-1806
2017
Time series feature extraction on basis of scalable hypothesis tests (tsfresh–a python package)
M Christ, N Braun, J Neuffer, AW Kempa-Liehr
Neurocomputing 307, 72-77
2018
An efficient intrusion detection approach for visual sensor networks based on traffic pattern learning
K Huang, Q Zhang, C Zhou, N Xiong, Y Qin
IEEE Transactions on Systems, Man, and Cybernetics: Systems 47 (10), 2704-2713
2017
Performance comparison of intrusion detection systems and application of machine learning to Snort system
SAR Shah, B Issac
Future Generation Computer Systems 80, 157-170
2018
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