An Approach to Reduce Uncertainty Problem in Network Intrusion Detection Systems

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

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

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

Fast and Scalable Pattern Matching for Network Intrusion Detection Systems

IEEE Journal on Selected Areas in Communications ◽

10.1109/jsac.2006.877131 ◽

2006 ◽

Vol 24 (10) ◽

pp. 1781-1792 ◽

Cited By ~ 99

Author(s):

S. Dharmapurikar ◽

J.W. Lockwood

Keyword(s):

Intrusion Detection ◽

Pattern Matching ◽

Detection Systems ◽

Network Intrusion ◽

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 ◽

Generating realistic workloads for network intrusion detection systems

ACM SIGSOFT Software Engineering Notes ◽

10.1145/974043.974078 ◽

2004 ◽

Vol 29 (1) ◽

pp. 207-215 ◽

Cited By ~ 25

Author(s):

Spyros Antonatos ◽

Kostas G. Anagnostakis ◽

Evangelos P. Markatos

Keyword(s):

Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Proceedings of the 1st international conference on Scalable information systems - InfoScale '06 ◽

An evaluation technique for network intrusion detection systems

10.1145/1146847.1146870 ◽

2006 ◽

Cited By ~ 5

Author(s):

Dana Zhang ◽

Christopher Leckie

Keyword(s):

Intrusion Detection ◽

Evaluation Technique ◽

Detection Systems ◽

Network Intrusion ◽

On Emulation-Based Network Intrusion Detection Systems

Research in Attacks, Intrusions and Defenses - Lecture Notes in Computer Science ◽

10.1007/978-3-319-11379-1_19 ◽

2014 ◽

pp. 384-404 ◽

Cited By ~ 6

Author(s):

Ali Abbasi ◽

Jos Wetzels ◽

Wouter Bokslag ◽

Emmanuele Zambon ◽

Sandro Etalle

Keyword(s):

Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Poisoning Attacks and Data Sanitization Mitigations for Machine Learning Models in Network Intrusion Detection Systems

10.1109/milcom52596.2021.9652916 ◽

2021 ◽

Author(s):

Sridhar Venkatesan ◽

Harshvardhan Sikka ◽

Rauf Izmailov ◽

Ritu Chadha ◽

Alina Oprea ◽

...

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Learning Models ◽

Detection Systems ◽

Data Sanitization ◽

Network Intrusion ◽

Machine Learning Models