Identification of common parameters for classifying malwares with decision tree

Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2014, Vol 16, Issue 3

Abstract

 Abstract: Malware analysis is a very tedious and time consuming process. It is the process of determining the behavior and purpose of a given malware sample created by the hacker. Every day new malware sample is being created and released on a large scale by malware authors. Anti-virus companies also requires its database to be updated to protect the victims and organizations. So, this clearly states each one of us to have the tools to analyse the malware. The purpose of this paper is to help Information security professionals, students and peoples, forensic investigator to understand the nature of malwares, and classify them according to the parameters developed by our model with the help of Matlab.

Authors and Affiliations

Aparna Verma , Dr. M. S. Rao , Dr. A. K. Gupta

Keywords

Related Articles

 Six Sigma and CMMI

 Abstract: Quality is essential in every walks of life and in all business for their success and profitability. There are many quality improvement initiatives and they are doing their part well. The startups and ini...

Data Compression using Multiple Transformation Techniques for Audio Applications

Abstract: As Multimedia Technology is growing day by day over past decades, therefore demand for digital information increasing rapidly. This digital information contains multimedia files like image files, audio files th...

 oncept Drift for obtaining Accurate Insight on ProcessExecution

Abstract: Most business processes update with respect time, existing or old process mining strategies used toresolve those processes when they are under the stable position. My attempt is to improve the existing DriftDet...

Prototyping and Simulation of Robot Group Intelligence using Kohonen Networks

Abstract:Intelligent agents such as robots can form ad hoc networks and replace human being in many dangerous scenarios such as a complicated disaster relief site. This project prototypes and builds a computer simulator...

 Comparison and Enhancement of Digital Image by Using Canny Filter and Sobel Filter

 In this research paper we have defining two different edge detection methods i.e canny edge detection and Sobel edge detection and we are also discussing some image quality parameters like PSNR, SNR, MSE, RMSE,...

Download PDF file
  • EP ID EP147426
  • DOI 10.9790/0661-16384346
  • Views 93
  • Downloads 0

How To Cite

Aparna Verma, Dr. M. S. Rao, Dr. A. K. Gupta (2014).  Identification of common parameters for classifying malwares with decision tree. IOSR Journals (IOSR Journal of Computer Engineering), 16(3), 43-46. https://europub.co.uk/articles/-A-147426