Tool For Android Root Exploit Malware

Researchers have been into the development of a robust tool that causes detection of and is able to self contain the various types of malware that attempts to rooting exploits on the devices based on the android platform. This new tool is known by the name of Practical Root Exploit Containment (PREC).

Android Root Exploit Malware

The students of the North Carolina University do the development of this tool and the main target for this tool is to be able to cause improvement on the previous techniques of the similar attempts. The development of this tool for Android Rooting exploits is done in the C programming language that is often viewed upon as the primary language to create the root exploit malware. This is in contrast to all those android-based apps that are primarily written in Java language.

The control of the operating system is taken over and the system administrator functions can be easily accessed by the root exploits. The user’s smartphone’s control is gained via the android rooting exploits. The PREC is widely known to replace the existing technique called as the anomaly detection, which causes comparison of the applications available on the Play Store with that of the database of application performance actually expected.

Upon the event that the deviations are detected from the normal course of behavior, the PREC analyses these events in order to surely determine that they are malware applications or just false alarms generated from the expected genuine apps. If it is detected under the scrutiny of PREC, then the malicious code is contained by the PREC and there are auto measured taken in order to prevent their execution and kill the existing instances of the app already running.

The PREC however, is not the first software to be based on the principle of anomaly detection, but it is the first of its kind built in for the android platform in a robust manner. The approach that the PREC has taken from numerous other apps in the market is that the design and focus of this app is solely based on the primitive C language; it works in favor of malware detection via root exploit for a simple fact that root exploits are also primarily coded in C. This causes a reduction in the disturbing occurrences for users and makes anomaly detection decisions a more practical and approach oriented one.

It is in the best interest of even the Google Inc. to work in close association with the researchers of the PREC so that a long database of performance of numerous lay Store apps is possible for PREC to compare actual app performances with. The approach taken by the PREC has increased the number of detections rather than the mere false alarms, thanks to handy reliable databases of app performance. The software would take the behavior of the app and create an external database, but will also otherwise cause an effect on the screening process, as indicated by the researches of this root exploit malware detection software.