Classification of Spyware Affected files using Data Mining Techniques
D Anil Kumar1, Sisira Kumar Kapat2, Susanta Kumar Das3, Satya Narayan Tripathy4
1D. Anil Kumar, Department of Computer Science and Engineering, GIET University, Gunupur (Odisha), India.
2Sisir Kumar Kapat, Department of Computer Science, Berhampur University, Berhampur (Odisha), India.
3Susanta Kumar Das, Department of Computer Science, Berhampur University, Berhampur (Odisha), India.
4Satya Narayan Tripathy, Department of Computer Science, Berhampur University, Berhampur (Odisha), India.
Manuscript received on 19 August 2019 | Revised Manuscript received on 29 August 2019 | Manuscript Published on 16 September 2019 | PP: 462-466 | Volume-8 Issue-2S6 July 2019 | Retrieval Number: B10880782S619/2019©BEIESP | DOI: 10.35940/ijrte.B1088.0782S619
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Spyware is a malicious computer program which collects or gathers information about a person or organization and sends them to third party without the user’s knowledge and explicit consent. Spyware is a sinister malware which is mainly connected to spying activity. There are various types of spyware. So there is a need to study the Spyware. This chapter concerns with the study and classification of Spyware. The mathematical term and figures are provided as in where needed, to support the description. The experiment conducted in the chapter shows reliable accuracy and error rate in the classification. This can be used in the malware detection system.
Keywords: Spyware, Malware, Data Mining, Classification, API, Network Security.
Scope of the Article: Data Mining