Loading [MathJax]/extensions/MathMenu.js
Consortium Blockchain-Based Malware Detection in Mobile Devices | IEEE Journals & Magazine | IEEE Xplore

Consortium Blockchain-Based Malware Detection in Mobile Devices


Here we construct a consortium blockchain framework, which is composed of a detecting consortium chain shared by test members and a public chain shared by users. From it,...

Abstract:

To address the problem of detecting malicious codes in malware and extracting the corresponding evidences in mobile devices, we construct a consortium blockchain framewor...Show More
Topic: Research Challenges and Opportunities in Security and Privacy of Blockchain Technologies

Abstract:

To address the problem of detecting malicious codes in malware and extracting the corresponding evidences in mobile devices, we construct a consortium blockchain framework, which is composed of a detecting consortium chain shared by test members and a public chain shared by users. Specifically, in view of different malware families in Android-based system, we perform feature modeling by utilizing statistical analysis method, so as to extract malware family features, including software package feature, permission and application feature, and function call feature. Moreover, for reducing false-positive rate and improving the detecting ability of malware variants, we design a multi-feature detection method of Android-based system for detecting and classifying malware. In addition, we establish a fact-base of distributed Android malicious codes by blockchain technology. The experimental results show that, compared with the previously published algorithms, the new proposed method can achieve higher detection accuracy in limited time with lower false-positive and false-negative rates.
Topic: Research Challenges and Opportunities in Security and Privacy of Blockchain Technologies
Here we construct a consortium blockchain framework, which is composed of a detecting consortium chain shared by test members and a public chain shared by users. From it,...
Published in: IEEE Access ( Volume: 6)
Page(s): 12118 - 12128
Date of Publication: 13 February 2018
Electronic ISSN: 2169-3536

Funding Agency:


References

References is not available for this document.