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Nagarajan, V. R.
- A Survey on Certificate Revocation Scheme Using Various Approaches
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Authors
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1 Sree Narayana Guru College, KG Chavadi, Coimbatore-641105, Tamil Nadu, IN
1 Sree Narayana Guru College, KG Chavadi, Coimbatore-641105, Tamil Nadu, IN
Source
Indian Journal of Innovations and Developments, Vol 5, No 5 (2016), Pagination: 1-3Abstract
The objectives of this survey is to analyse different certificate revocation approaches for identifying malicious attacks and to improve security. Certificate Revocation is a protection mechanism utilized to enhance the security level of network by detecting and removing malicious nodes from MANET with the help of certificate authority. There are different techniques used along with certificate revocation mechanism for recovering the nodes that are falsely accused by the neighborhood nodes. This paper provides detailed information of those mechanisms and finally compared their performance based on their merits and demerits.The finding of this work shows that clustering based revocation scheme is better than other mechanisms.Keywords
Certificate Revocation, MANET, Topology, Deployment.Full Text
References
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- A Survey on Different Similarity Join to Improve Clustering, Classification and Similarity Search
Abstract Views :361 |
PDF Views:0
Authors
Affiliations
1 Sri Narayana Guru College, Coimbatore-641105, Tamil Nadu, IN
1 Sri Narayana Guru College, Coimbatore-641105, Tamil Nadu, IN
Source
Indian Journal of Innovations and Developments, Vol 5, No 5 (2016), Pagination: 1-6Abstract
Objectives: To analysis various similarity join techniques to improve the data mining process.
Findings: Similarity join is an evaluation of similarity between any two objects. Many applications such as data cleaning, data integration, near duplicate detection and all data mining process can extensively benefit from the similarity join measure. Thus the similarity join can be performed between objects or strings or nodes etc. It finds all pairs of objects whose similarity is not smaller than the similarity threshold. There are different techniques and approaches are used to find the similarity join between objects in homogeneous information network. This paper provides detailed information about the different similarity join techniques.
Results: In this paper various similarity join techniques are compared through parameters to prove path based similarity join is better than other techniques.
Application/Improvements: The findings of this work prove that the path based similarity join provides better result than other approaches.
Keywords
Similarity Join, Data Cleaning, Data Integration, Near Duplicate Detection.Full Text
References
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