A Fog-based Collusion Detection System for Mobile Devices

• Main Authors: HSIUNG, PO-YANG, 熊伯洋
• Other Authors: CHENG, BO-CHAO
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/8bbvdu

碩士 === 國立中正大學 === 通訊工程研究所 === 106 === Malware is a major problem in mobile computing for decades. With the recent trend towards cloud computing, it overcomes the problem of resource restrictions (such as energy, CPU, and large application features) in mobile devices. However, mass data transmission and non-real time hinder malware detection in the cloud computing. In this paper, we propose a mechanism based on fog computing architecture, namely Anubis, aiming at collusion attacks. The mechanism includes the services to manage application features, and to intelligently control on data collection and transmission. The experiment results show the proposed approach is able to achieve reduction of energy consumption and transmission information volume, and to obtain near real-time detection compared to existing approaches