Droid-IoT:Detect Android IoT Malicious Applications Using ML and Blockchain

作     者：Hani Mohammed Alshahrani 

作者机构：College of Computer Science and Information SystemsNajran UniversityNajran61441Saudi Arabia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2022年第70卷第1期

页      面：739-766页

核心收录：

学科分类：08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Android blockchain analysis malware 

摘      要：One of the most rapidly growing areas in the last few years is the Internet of Things(IoT),which has been used in widespread fields such as healthcare,smart homes,and *** is one of the most popular operating systems(OS)used by IoT devices for communication and data *** OS captured more than 70 percent of the market share in *** of the popularity of the Android OS,it has been targeted by cybercriminals who have introduced a number of issues,such as stealing private *** reported by one of the recent studies Androidmalware are developed almost every 10 ***,due to this huge exploitation an accurate and secure detection system is needed to secure the communication and data exchange in Android IoT *** paper introduces Droid-IoT,a collaborative framework to detect Android IoT malicious applications by using the blockchain ***-IoT consists of four main engines:(i)collaborative reporting engine,(ii)static analysis engine,(iii)detection engine,and(iv)blockchain *** engine contributes to the detection and minimization of the risk of malicious applications and the reporting of any malicious *** features are extracted automatically fromthe inspected applications to be classified by the machine learning model and store the results into the *** performance of Droid-IoT was evaluated by analyzing more than 6000 Android applications and comparing the detection rate of Droid-IoT with the state-of-the-art ***-IoT achieved a detection rate of 97.74%with a low false positive rate by using an extreme gradient boosting(XGBoost)classifier.