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Computer Engineering Commons

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Articles 1 - 4 of 4

Full-Text Articles in Computer Engineering

Automated Dynamic Detection Of Self-Hiding Behaviors, Luke Baird Nov 2019

Automated Dynamic Detection Of Self-Hiding Behaviors, Luke Baird

Student Works

Certain Android applications, such as but not limited to malware, conceal their presence from the user, exhibiting a self-hiding behavior. Consequently, these apps put the user’s security and privacy at risk by performing tasks without the user’s awareness. Static analysis has been used to analyze apps for self-hiding behavior, but this approach is prone to false positives and suffers from code obfuscation. This research proposes a set of three tools utilizing a dynamic analysis method of detecting self-hiding behavior of an app in the home, installed, and running application lists on an Android emulator. Our approach proves both ...


Automated Dynamic Detection Of Self-Hiding Behavior In Android Apps, Luke Baird, Seth Rodgers Oct 2019

Automated Dynamic Detection Of Self-Hiding Behavior In Android Apps, Luke Baird, Seth Rodgers

Student Works

Android applications that conceal themselves from a user, defined as exhibiting a “self-hiding behavior,” pose a threat to the user’s privacy, as these applications can live on a device undetected by the user. Malicious applications can do this to execute without being found by the user. Three lists are analyzed in particular—the home, running, and installed lists—as they are directly related to the typical Android app life cycle. Additionally, self-hiding behavior in the device admin list is analyzed due to the potential for catastrophic actions to be taken by device admin malware. This research proposes four dynamic ...


Trends In Android Malware Detection, Kaveh Shaerpour, Ali Dehghantanha, Ramlan Mahmod Jan 2013

Trends In Android Malware Detection, Kaveh Shaerpour, Ali Dehghantanha, Ramlan Mahmod

Journal of Digital Forensics, Security and Law

This paper analyzes different Android malware detection techniques from several research papers, some of these techniques are novel while others bring a new perspective to the research work done in the past. The techniques are of various kinds ranging from detection using host based frameworks and static analysis of executable to feature extraction and behavioral patterns. Each paper is reviewed extensively and the core features of each technique are highlighted and contrasted with the others. The challenges faced during the development of such techniques are also discussed along with the future prospects for Android malware detection. The findings of the ...


Comparing Android Applications To Find Copying, Larry Melling, Bob Zeidman Jan 2012

Comparing Android Applications To Find Copying, Larry Melling, Bob Zeidman

Journal of Digital Forensics, Security and Law

The Android smartphone operating system includes a Java virtual machine that enables rapid development and deployment of a wide variety of applications. The open nature of the platform means that reverse engineering of applications is relatively easy, and many developers are concerned as applications similar to their own show up in the Android marketplace and want to know if these applications are pirated. Fortunately, the same characteristics that make an Android application easy to reverse engineer and copy also provide opportunities for Android developers to compare downloaded applications to their own. This paper describes the process for comparing a developer ...