NDLI: Anomaly detection using firefly harmonic clustering algorithm

Content Provider	IEEE Xplore Digital Library
Author	Adaniya, Mario H. A. C. Lima, Moises F. Sampaio, Lucas D. H. Abrao, Taufik Proenca, Mario Lemes
Copyright Year	2011
Description	Author affiliation: Department of Computer Science, UEL, State University of Londrina, Londrina, Brazil (Adaniya, Mario H. A. C.; Lima, Moises F.; Sampaio, Lucas D. H.; Abrao, Taufik; Proenca, Mario Lemes)
Abstract	The performance of communication networks can be affected by a number of factors including misconfigu-ration, equipments outages, attacks originated from legitimate behavior or not, software errors, among many other causes. These factors may cause an unexpected change in the traffic behavior, creating what we call anomalies that may represent a loss of performance or breach of network security. Knowing the behavior pattern of the network is essential to detect and characterize an anomaly. Therefore, this paper presents an algorithm based on the use of Digital Signature of Network Segment (DSNS), used to model the traffic behavior pattern. We propose a clustering algorithm, K-Harmonic means (KHM), combined with a new heuristic approach, Firefly Algorithm (FA), for network volume anomaly detection. The KHM calculate a weighting function of each point to calculate new centroids and circumventing the initialization problem present in most center based clustering algorithm and exploits the search capability of FA from escaping local optima. Processing the DSNS data and real traffic adata is possible to detect and point intervals considered anomalous with a trade-off between the 90% true-positive rate and 30% false-positive rate.
Starting Page	1
Ending Page	6
File Size	404009
Page Count	6
File Format	PDF
ISBN	9789898565822
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-18
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	INSTICC
Subject Keyword	Heuristic algorithms Brightness Anomaly detection, Data clustering, Firefly algorithm, K Clustering algorithms Harmonic analysis Educational institutions Harmonic means Mathematical model Equations
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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