Optimized Anomaly based Risk Reduction using PCA based Genetic Classifier

C.Kavitha; Dr. K.Iyakutti

Optimized Anomaly based Risk Reduction using PCA based Genetic Classifier

C.Kavitha * §

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Dr. K.Iyakutti

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Pasumpon Muthuramalinga Thevar College,Usilampatti, ...

Optimized Anomaly based Risk Reduction using PCA based Genetic Classifier

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Abstract

Security risk analysis is the thrust area for the information based world. The researchers in this field deployed numerous techniques to overcome the information security oriented problem. In this paper the researcher tried for a approach of using anomaly detection for the risk reduction. The hub initiative for this work is that the anomalies are the deviation which could increase the percentage of risk. The anomaly detection is guided by the PCA and the genetic based multi class classifier is used. The classification is induced by the decision tree approach were the genetic algorithm is set out for the optimization in the process of finding the nodes of the tree. The proposed approach is evaluated with the bench mark on PCA based ANN classifier. The proposed approach outperforms the existing one. The results are demonstrated.

References

19 Cites in Article

Reference Format

Alireza Tamjidyamcholo,Dawoud Rawaa,Al-Dabbagh (2012). Genetic Algorithm Approach for Risk Reduction of Information Security.
A Chandrasekar,V Vasudevan,P Yogesh (2009). Social Network Security Using Anomaly Detection.
Rodrigo Barros,P M´arcio,Basgalupp,C Andr´e,Alex De Carvalho,Freitas (2012). A Survey of Evolutionary Algorithms for Decision Tree Induction.
Asmaa Shaker Ashoor,Sharad Gore (2011). Importance of Intrusion Detection System.
F Tamer,Wail Ghanema,Elkilani,M Hatem,Abdul-Kader (2014). A hybrid approach for efficient anomaly detection using metaheuristic methods.
Salvatore Stolfo,Shlomo Hershkop,Linh Bui,Ryan Ferster,Ke Wang (2005). Anomaly Detection in Computer Security and an Application to File System Accesses.
Varun Chandola,Arindam Banerjee,Vipin Kumar (2009). Anomaly detection.
Jonathon Shlens (2014). A Tutorial on Principal Component Analysis.
Nayot Poolsappasit,Rinku Dewri,Indrajit Ray (2012). Dynamic Security Risk Management Using Bayesian Attack Graphs.
Ming-Chang Lee (2014). Information Security Risk Analysis Methods and Research Trends: AHP and Fuzzy Comprehensive Method.
Y Gao,J Luo (2009). Information security risk assessment based on grey relational decision making algorithm.
F Liu,K Dai,Z Wang (2004). Research on the technology of quantitative security evaluation based on fuzzy number arithmetic operation.
P Chang,K Hung,C (2005). Applying the fuzzy weighted average approach to evaluation network security systems.
Nan Feng,Minqiang Li (2011). An information systems security risk assessment model under uncertain environment.
Irfan Syamsuddin,Junseok Hwang (2010). The Use of AHP in Security Policy Decision Making: An Open Office Calc Application.
Irfan Syamsuddin,Irfan Syamsuddin (2012). Evaluation of Strategic Information Security with Fuzzy AHP Method.
Shanta Rangaswamy,Dr Shobha,G Sandeep R V,Raj Kiran (2014). Comparative Study of Decision Tree Classifier with and without GA based feature selection.
Herve Abdi (2010). Normalizing Data.
Sini Shilpa Lakhina,Bhupendra Joseph,Verma (2010). Feature Reduction using Principal Component Analysis for Effective Anomaly-Based Intrusion Detection on NSL-KDD.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

C.Kavitha, Dr. K.Iyakutti. 2014. "Optimized Anomaly based Risk Reduction using PCA based Genetic Classifier". Global Journal of Computer Science and Technology - C: Software & Data Engineering GJCST-C Volume 14 (GJCST Volume 14 Issue C7).

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GJCST Volume 14 Issue C7

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

anomaly detection Genetic Algorithm PCA

Classification

D.2.9

Submission ReceivedDecember 8, 2013
Peer Review Double Blind
Handling Editor
Accepted January 3, 2014
Published January 15, 2014

Version of record

v1.2

Issue date

September 25, 2014

Language

English

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Article Matrices

Total Score: 147

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: C.Kavitha, Dr. K.Iyakutti (PhD/Dr. count: 1)

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