A Hybrid Approach for Real-Time Network Intrusion Detection Systems

2007 International Conference on Computational Intelligence and Security (CIS 2007) ◽

10.1109/cis.2007.10 ◽

2007 ◽

Cited By ~ 4

Author(s):

Sang Min Lee ◽

Dong Seong Kim ◽

Jong Sou Park

Keyword(s):

Intrusion Detection ◽

Real Time ◽

Hybrid Approach ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems

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A STUDY: NETWORK INTRUSION DETECTION SYSTEMS IN REAL TIME ENVIRONMENTS

Journal of Xidian University ◽

10.37896/jxu14.5/061 ◽

2020 ◽

Vol 14 (5) ◽

Keyword(s):

Intrusion Detection ◽

Real Time ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems

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Minimal dataset for Network Intrusion Detection Systems via MID-PCA: A hybrid approach

2012 6th IEEE INTERNATIONAL CONFERENCE INTELLIGENT SYSTEMS ◽

10.1109/is.2012.6335176 ◽

2012 ◽

Cited By ~ 2

Author(s):

Jean-Pierre Nziga ◽

James Cannady

Keyword(s):

Intrusion Detection ◽

Hybrid Approach ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems

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Using Incremental Mining to Generate Fuzzy Rules for Real-Time Network Intrusion Detection Systems

22nd International Conference on Advanced Information Networking and Applications - Workshops (aina workshops 2008) ◽

10.1109/waina.2008.69 ◽

2008 ◽

Cited By ~ 3

Author(s):

Ming-Yang Su ◽

Sheng-Cheng Yeh ◽

Kai-Chi Chang ◽

Hua-Fu Wei

Keyword(s):

Intrusion Detection ◽

Real Time ◽

Fuzzy Rules ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Incremental Mining ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems

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An Approach to Reduce Uncertainty Problem in Network Intrusion Detection Systems

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

10.1109/iciis51140.2020.9342634 ◽

2020 ◽

Author(s):

Gargi Kadam ◽

Sahil Parekh ◽

Priyanka Agnihotri ◽

Dayanand Ambawade ◽

Prasenjit Bhavathankar

Keyword(s):

Intrusion Detection ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems

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Predicting the resource consumption of network intrusion detection systems

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

10.1145/1375457.1375509 ◽

2008 ◽

Cited By ~ 7

Author(s):

Holger Dreger ◽

Anja Feldmann ◽

Vern Paxson ◽

Robin Sommer

Keyword(s):

Intrusion Detection ◽

Resource Consumption ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems

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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 ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Matching Algorithm ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems ◽

Pattern Matching Algorithm

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Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems

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

10.1109/nfv-sdn50289.2020.9289869 ◽

2020 ◽

Author(s):

Mohammad J. Hashemi ◽

Eric Keller

Keyword(s):

Intrusion Detection ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems ◽

Adversarial Examples

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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 ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems ◽

Continual Learning

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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 ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems

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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 ◽

Intrusion Detection Systems ◽

Network Intrusion Detection ◽

Activation Functions ◽

Detection Systems ◽

Network Intrusion ◽

Network Intrusion Detection Systems

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