Adversarial Examples Against the Deep Learning Based Network Intrusion Detection Systems

Detection Systems ◽

Network Intrusion ◽

Adversarial Examples

2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN) ◽

Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems

10.1109/nfv-sdn50289.2020.9289869 ◽

2020 ◽

Author(s):

Mohammad J. Hashemi ◽

Eric Keller

Keyword(s):

Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Adversarial Examples

Effect of Activation Functions on the Performance of Deep Learning Algorithms for Network Intrusion Detection Systems

Proceedings of ICETIT 2019 - Lecture Notes in Electrical Engineering ◽

10.1007/978-3-030-30577-2_84 ◽

2019 ◽

pp. 949-960

Author(s):

Neha Gupta ◽

Punam Bedi ◽

Vinita Jindal

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Learning Algorithms ◽

Activation Functions ◽

Detection Systems ◽

Network Intrusion ◽

A Deep Learning Approach for Anomaly-Based Network Intrusion Detection Systems: A Survey and an Objective Comparison

10.1007/978-3-030-82469-3_20 ◽

2021 ◽

pp. 227-235

Author(s):

Shailender Kumar ◽

Namrata Jha ◽

Nikhil Sachdeva

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Learning Approach ◽

Detection Systems ◽

Network Intrusion ◽

Adversarial Attacks Against Deep Learning-Based Network Intrusion Detection Systems and Defense Mechanisms

IEEE/ACM Transactions on Networking ◽

10.1109/tnet.2021.3137084 ◽

2022 ◽

pp. 1-18

Author(s):

Chaoyun Zhang ◽

Xavier Costa-Perez ◽

Paul Patras

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Defense Mechanisms ◽

Detection Systems ◽

Network Intrusion ◽

Introducing Deep Learning Self-Adaptive Misuse Network Intrusion Detection Systems

IEEE Access ◽

10.1109/access.2019.2893871 ◽

2019 ◽

Vol 7 ◽

pp. 13546-13560 ◽

Cited By ~ 32

Author(s):

Dimitrios Papamartzivanos ◽

Felix Gomez Marmol ◽

Georgios Kambourakis

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Self Adaptive

RNNIDS: Enhancing network intrusion detection systems through deep learning

Computers & Security ◽

10.1016/j.cose.2020.102151 ◽

2021 ◽

Vol 102 ◽

pp. 102151

Author(s):

Soroush M. Sohi ◽

Jean-Pierre Seifert ◽

Fatemeh Ganji

Keyword(s):

Deep Learning ◽

Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

2020 IEEE 15th International Conference on Industrial and Information Systems (ICIIS) ◽

An Approach to Reduce Uncertainty Problem in Network Intrusion Detection Systems

10.1109/iciis51140.2020.9342634 ◽

2020 ◽

Author(s):

Gargi Kadam ◽

Sahil Parekh ◽

Priyanka Agnihotri ◽

Dayanand Ambawade ◽

Prasenjit Bhavathankar

Keyword(s):

Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Proceedings of the 2008 ACM SIGMETRICS international conference on Measurement and modeling of computer systems - SIGMETRICS '08 ◽

Predicting the resource consumption of network intrusion detection systems

10.1145/1375457.1375509 ◽

2008 ◽

Cited By ~ 7

Author(s):

Holger Dreger ◽

Anja Feldmann ◽

Vern Paxson ◽

Robin Sommer

Keyword(s):

Intrusion Detection ◽

Resource Consumption ◽

Detection Systems ◽

Network Intrusion ◽

A Flexible Pattern-Matching Algorithm for Network Intrusion Detection Systems Using Multi-Core Processors

Algorithms ◽

10.3390/a10020058 ◽

2017 ◽

Vol 10 (2) ◽

pp. 58 ◽

Cited By ~ 1

Author(s):

◽

Keyword(s):

Intrusion Detection ◽

Pattern Matching ◽

Matching Algorithm ◽

Detection Systems ◽

Network Intrusion ◽

Pattern Matching Algorithm

On Handling Class Imbalance in Continual Learning based Network Intrusion Detection Systems

10.1145/3486001.3486231 ◽

2021 ◽

Author(s):

Suresh Kumar Amalapuram ◽

Thushara Tippi Reddy ◽

Sumohana S. Channappayya ◽

Bheemarjuna Reddy Tamma

Keyword(s):

Intrusion Detection ◽

Class Imbalance ◽

Detection Systems ◽

Network Intrusion ◽

Continual Learning