Network Anomaly Detection: Methods, Systems and Tools - Estadísticas de Google Académico

Artículos que citan Network Anomaly Detection: Methods, Systems and Tools

Título / Autor	Año
A survey of data mining and machine learning methods for cyber security intrusion detection AL Buczak, E Guven IEEE Communications Surveys & Tutorials 18 (2), 1153-1176	2015
Network representation learning with rich text information C Yang, Z Liu, D Zhao, M Sun, E Chang Twenty-Fourth International Joint Conference on Artificial Intelligence	2015
The evaluation of Network Anomaly Detection Systems: Statistical analysis of the UNSW-NB15 data set and the comparison with the KDD99 data set N Moustafa, J Slay Information Security Journal: A Global Perspective 25 (1-3), 18-31	2016
Network attacks: Taxonomy, tools and systems N Hoque, MH Bhuyan, RC Baishya, DK Bhattacharyya, JK Kalita Journal of Network and Computer Applications 40, 307-324	2014
Distributed denial of service (DDoS) resilience in cloud: Review and conceptual cloud DDoS mitigation framework O Osanaiye, KKR Choo, M Dlodlo Journal of Network and Computer Applications 67, 147-165	2016
An empirical evaluation of information metrics for low-rate and high-rate DDoS attack detection MH Bhuyan, DK Bhattacharyya, JK Kalita Pattern Recognition Letters 51, 1-7	2015
An entropy-based network anomaly detection method P Bereziński, B Jasiul, M Szpyrka Entropy 17 (4), 2367-2408	2015
Botnet in DDoS attacks: trends and challenges N Hoque, DK Bhattacharyya, JK Kalita IEEE Communications Surveys & Tutorials 17 (4), 2242-2270	2015
Botnet detection techniques: review, future trends, and issues A Karim, RB Salleh, M Shiraz, SAA Shah, I Awan, NB Anuar Journal of Zhejiang University SCIENCE C 15 (11), 943-983	2014
User profiling in intrusion detection: A review J Peng, KKR Choo, H Ashman Journal of Network and Computer Applications 72, 14-27	2016
Analysis of network traffic features for anomaly detection F Iglesias, T Zseby Machine Learning 101 (1-3), 59-84	2015
PCA filtering and probabilistic SOM for network intrusion detection E De la Hoz, E De La Hoz, A Ortiz, J Ortega, B Prieto Neurocomputing 164, 71-81	2015
Malware traffic classification using convolutional neural network for representation learning W Wang, M Zhu, X Zeng, X Ye, Y Sheng 2017 International Conference on Information Networking (ICOIN), 712-717	2017
Taxonomy of DoS and DDoS attacks and desirable defense mechanism in a cloud computing environment BB Gupta, OP Badve Neural Computing and Applications 28 (12), 3655-3682	2017
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
Performance analysis of NSL-KDD dataset using ANN B Ingre, A Yadav 2015 International Conference on Signal Processing and Communication …	2015
A network gene-based framework for detecting advanced persistent threats Y Wang, Y Wang, J Liu, Z Huang 2014 Ninth International Conference on P2P, Parallel, Grid, Cloud and …	2014
A feature reduced intrusion detection system using ANN classifier I Manzoor, N Kumar Expert Systems with Applications 88, 249-257	2017
An improved NSGA-III algorithm for feature selection used in intrusion detection Y Zhu, J Liang, J Chen, Z Ming Knowledge-Based Systems 116, 74-85	2017
Data randomization and cluster-based partitioning for botnet intrusion detection OY Al-Jarrah, O Alhussein, PD Yoo, S Muhaidat, K Taha, K Kim IEEE transactions on cybernetics 46 (8), 1796-1806	2015

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