文章基本信息

标题：Detection of Malware in Mobile Networks Using Heterogeneous Devices
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作者：Badiga Neeraja
期刊名称：International Journal of Computer Science & Technology
印刷版ISSN：2229-4333
电子版ISSN：0976-8491
出版年度：2015
卷号：6
期号：3
页码：141-144
语种：English
出版社：Ayushmaan Technologies
摘要：Malware attacks are more often made in cellular networks such as viruses, worms and other malicious software. Spyware which disrupts the functionality of the computer to the network, hypersensitive piracy information and access to their private systems. It’s just a program that is specifically designed to be able to corrupt the computer can be either virus or worm can be.The mobile malware can spread through two different approaches these are usually powerful MMS and Bluetooth. To prevent the spread of malware and help infected nodes to extract better or dispersed optimal method signature. But this kind of ignores the hybrid viruses that spread through both BT and MMS routes.Therefore, to increase the efficiency of spreading malware restrict your cell phone, we have proposed a new approach called any model hybrid virus detection. The hybrid malware could spread therefore end to end messaging services through personal and social SRDs communication services Wi-Fi. In this method, a new process -based differential equation is proposed to examine the behavior of delocalized mixed infection and the spread of ripple for hybrid malware based on widespread Internet sites including individual sociable and spatial relationships. An experimental result means that the proposed technique is computationallyefficient to differentiate the hybrid malware.
关键词：Mobile Networks;Hybrid Malware Detection;Mobile Malware