RETRACTED ARTICLE: A scheme for detecting outliers using sequential adjacency among entities

Presently the outlier extraction is broadly employed in applications such as communication, health care, finance and network-based interference identification. The use of this outlier extraction in network irregularity identification, occasionally happening assaults could be recognized. The intentio...

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Bibliographic Details
Published in:Cluster computing 2019-11, Vol.22 (Suppl 6), p.13177-13183
Main Authors: Kathiresan, V., Vasanthi, N. A.
Format: Article
Language:English
Subjects:
Assaults
Computer Communication Networks
Computer Science
Data analysis
Identification
Operating Systems
Outliers (statistics)
Processor Architectures
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Summary:Presently the outlier extraction is broadly employed in applications such as communication, health care, finance and network-based interference identification. The use of this outlier extraction in network irregularity identification, occasionally happening assaults could be recognized. The intention is to design an outlier extraction scheme in terms of sequential adjacency associations. The evaluations are performed against the UCIML information set, KDD and real-time information sets. The analysis revealed that the outcomes are offering better outcomes than the prevailing schemes.
ISSN:1386-7857
1573-7543
DOI:10.1007/s10586-017-1536-6