计算机科学
恶意软件
块链
移动恶意软件
恶意软件分析
Android(操作系统)
机器学习
Android恶意软件
系统调用
人工智能
计算机安全
操作系统
作者
Naman Aneja,Sandeep Suri,Sachin Papneja,Nikhil Khurana
出处
期刊:2021 2nd Global Conference for Advancement in Technology (GCAT)
日期:2021-10-01
标识
DOI:10.1109/gcat52182.2021.9587880
摘要
The world is seeing a rapid growth in mobile malware applications. Traditional computer malware programmers are shifting to android malware applications. Consequently, mobile security specialists are also working very hard to obtain a robust explication to this current problem. Many anti malware applications have also been launched to tackle this problem. In this paper we have tried to propose a system for detection of malware application based on Blockchain with help of machine learning. We use one internal permissioned blockchain with feature extractor model and one external permissioned blockchain feedback to another machine learning model to accomplish this task. We use dedicated internal blockchain for each application to make our system error free and more accurate.
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