Exploring Low Profile Techniques for Malicious Code Detection on Smartphones


In recent years there has been a growing number of viruses, rootkits, and malware designed to gain access to system resources and information stored on smartphones. Most current approaches for detecting this malicious code have detrimental impacts on the user in terms of reduced functionality, slower network speeds, or loss of battery life. This work presents a number of approaches that have a minimal impact on the user but offer successful detection of potential malicious code on the smartphone. We do this primarily by focusing on anomalous power use as a method for detecting the presence of malicious code. This work also introduces ways to fine-tune the process by establishing a normal profile of power usage for each user, which increases the rate of malware detection

Similar works

Full text

CU Scholar Institutional RepositoryProvided a free PDF (195.62 KB)

Last time updated on April 13, 2017

This paper was published in CU Scholar Institutional Repository.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.