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1. A New System for Clustering and Classification of Intrusion Detection System Alerts Using Self-Organizing Maps

A New System for Clustering and Classification of Intrusion Detection System Alerts Using Self-Organ...

Intrusion Detection Systems (IDS) allow to protect systems used byorganizations against threats that emerges network connectivity by increasing.The main drawbacks of IDS are the number of alerts gener...

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2. Intelligent Alert Clustering Model for Network Intrusion Analysis

Maheyzah Md Siraj Mohd Aizaini Maarof Siti Zaiton Mohd Hashim,

As security threats change and advance in a drastic way, most ofthe organizations implement multiple Network Intrusion DetectionSystems (NIDSs) to optimize detection and to provide comprehensiveview o...

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3. A Fuzzy-logic based Alert Prioritization Engine for IDSs: Architecture and Configuration

Alsubhi, Khalid,

Intrusion Detection Systems (IDSs) are designed to monitor a networked environment and generate alerts whenever abnormal activities are detected. The number of these alerts can be very large making th...

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4. Alert correlation for extracting attack strategies.

Zhu, Bin.,

Alert correlation is an important technique for managing the large volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend of research in this a...

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5. Real Time Classification and Clustering Of IDS Alerts Using Machine Learning Algorithms

T. Subbulakshmi George Mathew S. Mercy Shalinie,

Intrusion Detection Systems (IDS) monitor a secured network for the evidence of maliciousactivities originating either inside or outside. Upon identifying a suspicious traffic, IDSgenerates and logs a...

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6. Alert Correlation for Extracting Attack Strategies

Bin Zhu Ali A. Ghorbani,

Alert correlation is an important technique for managing large the volume of intrusion alerts that are raised by heterogenous Intrusion Detection Systems (IDSs). The recent trend of research in this a...

complete description

7. Efficient Hybrid Network (Wired and Wireless) Intrusion Detection using Statistical Data Streams and Detection of Clustered Alerts

M. Thangavel P. Thangaraj,

<B>Problem statement:</B> Wireless LAN IEEE 802.11 protocols are growing rapidly and security has always been a concern with the security of wired network. Wireless networks encountered th...

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8. Noradrenergic symptom cluster in depression

Montgomery S Briley M,

Stuart Montgomery1, Mike Briley21Imperial College School of Medicine, London, UK; 2NeuroBiz Consulting and Communication, Castres, FranceDepression is characterized by a wide range of diverse symptoms...

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9. Exploring Event Log Analysis with Minimum Apriori Information

Makanju, Adetokunbo,

The continued increase in the size and complexity of modern computer systems has led to a commensurate increase in the size of their logs. System logs are an invaluable resource to systems administrat...

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10. A trajectory analysis of atmospheric transport of black carbon aerosols to Canadian High Arctic in winter and spring (1990–2005)

L. Huang, S. L. Gong, S. Sharma, D. Lavoué, C. Q. Jia,

Black carbon (BC) particles accumulated in the Arctic troposphere and deposited over snow have significant effects on radiative forcing of the Arctic regional climate. Applying cluster analysis techni...

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