Main Reference PaperLeveraging Compression-based Graph Mining for Behavior-based Malware Detection, IEEE Transactions on Dependable and Secure Computing, March 2017 [Java]
  • A malware detection technique is proposed that derives accurate detection model through compression-based mining on quantitative data flow graphs.

+ Description
  • A malware detection technique is proposed that derives accurate detection model through compression-based mining on quantitative data flow graphs.

  • To detect the malware with obfuscated siblings.

  • To improve accuracy by using compression based mining.

+ Aim & Objectives
  • To detect the malware with obfuscated siblings.

  • To improve accuracy by using compression based mining.

  • A technique is contributed that improves the efficiency of the system.

+ Contribution
  • A technique is contributed that improves the efficiency of the system.

  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

+ Software Tools & Technologies
  • Java JDK 1.8, MySQL 5.5.40

  • Netbeans 8.0.1, & J2SE.

  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

+ Project Recommended For
  • M.E / M.Tech / MS / Ph.D.- Customized according to the client requirements.

  • No Readymade Projects-Depending on the complexity of the project and requirements.

+ Order To Delivery
  • No Readymade Projects-Depending on the complexity of the project and requirements.

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