Crossfire Attack Detection using Deep Learning in Software Defined ITS Networks
Authors: Akash Raj Narayanadoss, Tram Truong-Huu, Purnima Murali Mohan, Mohan Gurusamy | Published: 2018-12-10 | Updated: 2019-02-14
攻撃検出
Machine Learning for Anomaly Detection and Categorization in Multi-cloud Environments
Authors: Tara Salman, Deval Bhamare, Aiman Erbad, Raj Jain, Mohammed Samaka | Published: 2018-10-23
Intensive Preprocessing of KDD Cup 99 for Network Intrusion Classification Using Machine Learning Techniques
Authors: Ibrahim Obeidat, Nabhan Hamadneh, Mouhammd Al-kasassbeh, Mohammad Almseidin | Published: 2018-05-26 | Updated: 2018-10-05
Secure Mobile Edge Computing in IoT via Collaborative Online Learning
Authors: Bingcong Li, Tianyi Chen, Georgios B. Giannakis | Published: 2018-05-09
Improving Network Intrusion Detection Classifiers by Non-payload-Based Exploit-Independent Obfuscations: An Adversarial Approach
Authors: Ivan Homoliak, Martin Teknos, Martín Ochoa, Dominik Breitenbacher, Saeid Hosseini, Petr Hanacek | Published: 2018-05-07 | Updated: 2018-12-12
A Grassmannian Approach to Zero-Shot Learning for Network Intrusion Detection
Authors: Jorge Rivero, Bernardete Ribeiro, Ning Chen, Fátima Silva Leite | Published: 2017-09-23
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward
Authors: Ram Shankar Siva Kumar, Andrew Wicker, Matt Swann | Published: 2017-09-20
Detection of Unauthorized IoT Devices Using Machine Learning Techniques
Authors: Yair Meidan, Michael Bohadana, Asaf Shabtai, Martin Ochoa, Nils Ole Tippenhauer, Juan Davis Guarnizo, Yuval Elovici | Published: 2017-09-14
Models and Framework for Adversarial Attacks on Complex Adaptive Systems
Authors: Vahid Behzadan, Arslan Munir | Published: 2017-09-13
A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data
Authors: Abien Fred Agarap | Published: 2017-09-10 | Updated: 2019-02-07