Performance investigation of real-time fiber optic perimeter intrusion detection systems using event classification

Event Classification ◽

A real-time risk assessment model for intrusion detection systems

2017 International Symposium on Networks, Computers and Communications (ISNCC) ◽

10.1109/isncc.2017.8071990 ◽

2017 ◽

Cited By ~ 2

Author(s):

El Mostapha Chakir ◽

Mohamed Moughit ◽

Youness Idrissi Khamlichi

Keyword(s):

Risk Assessment ◽

Intrusion Detection ◽

Real Time ◽

Assessment Model ◽

Risk Assessment Model ◽

International Conference on Information Technology and Communication Systems - Advances in Intelligent Systems and Computing ◽

A Real-Time Risk Assessment Model for Intrusion Detection Systems Using Pattern Matching

10.1007/978-3-319-64719-7_20 ◽

2017 ◽

pp. 229-237

Author(s):

El Mostapha Chakir ◽

Mohamed Moughit ◽

Youness Idrissi Khamlichi

Keyword(s):

Risk Assessment ◽

Intrusion Detection ◽

Real Time ◽

Pattern Matching ◽

Assessment Model ◽

Risk Assessment Model ◽

Performance Adaptation in Real-Time Intrusion Detection Systems

Lecture Notes in Computer Science - Recent Advances in Intrusion Detection ◽

10.1007/3-540-36084-0_14 ◽

2002 ◽

pp. 252-273 ◽

Cited By ~ 31

Author(s):

Wenke Lee ◽

João B. D. Cabrera ◽

Ashley Thomas ◽

Niranjan Balwalli ◽

Sunmeet Saluja ◽

...

Keyword(s):

Intrusion Detection ◽

Real Time ◽

Detection Systems ◽

Performance Adaptation

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 ◽

Network Intrusion Detection Systems

Network Intrusion Detection ◽

Detection Systems ◽

Network Intrusion ◽

Real time dataset generation framework for intrusion detection systems in IoT

Future Generation Computer Systems ◽

10.1016/j.future.2020.02.051 ◽

2020 ◽

Vol 108 ◽

pp. 414-423 ◽

Cited By ~ 6

Author(s):

Yahya Al-Hadhrami ◽

Farookh Khadeer Hussain

Keyword(s):

Intrusion Detection ◽

Real Time ◽

Proceedings of the 2013 Research in Adaptive and Convergent Systems on - RACS '13 ◽

Real-time malware detection framework in intrusion detection systems

10.1145/2513228.2513297 ◽

2013 ◽

Author(s):

SunWoo Kim ◽

TaeGuen Kim ◽

Eul Gyu Im

Keyword(s):

Intrusion Detection ◽

Real Time ◽

Malware Detection ◽

RBF-based real-time hierarchical intrusion detection systems

Proceedings of the International Joint Conference on Neural Networks, 2003. ◽

10.1109/ijcnn.2003.1223922 ◽

2004 ◽

Cited By ~ 8

Author(s):

Ju Jiang ◽

Chunlin Zhang ◽

M. Kamel

Keyword(s):

Intrusion Detection ◽

Real Time ◽

Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications II ◽

Machine learning based automatic threat level assessment in fiber-optic Distributed Acoustic Sensing (DAS) intrusion detection systems

10.1117/12.2558400 ◽

2020 ◽

Author(s):

Omer Sahin ◽

Mehmet U. Demircin ◽

Murat Gevrekci

Keyword(s):

Machine Learning ◽

Intrusion Detection ◽

Fiber Optic ◽

Acoustic Sensing ◽

Detection Systems ◽

Threat Level ◽

Distributed Acoustic Sensing

Real-Time Risk Assessment with Network Sensors and Intrusion Detection Systems

Computational Intelligence and Security - Lecture Notes in Computer Science ◽

10.1007/11596981_57 ◽

2005 ◽

pp. 388-397 ◽

Cited By ~ 17

Author(s):

André Årnes ◽

Karin Sallhammar ◽

Kjetil Haslum ◽

Tønnes Brekne ◽

Marie Elisabeth Gaup Moe ◽

...

Keyword(s):

Risk Assessment ◽

Intrusion Detection ◽

Real Time ◽

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

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

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 ◽

Network Intrusion Detection Systems

Network Intrusion Detection ◽

Incremental Mining ◽

Detection Systems ◽

Network Intrusion ◽