InstDroid: A Light Weight Instant Malware Detector for Android Operating Systems

Abstract

With the increasing popularity of Android operating system, its security concerns have also been raised to a new horizon in past few years. Different researchers have introduced different approaches in order to mitigate the malware attacks on Android devices and they succeed to provide security up to some extent but these antimalware techniques are still resource inefficient and takes longer time to detect the malicious behavior of applications. In this paper, basic security mechanisms, provided by Google Android, and their limitations are discussed. Also, the existing antimalware techniques which lie under the basic detection approaches are discussed and their limitations are also highlighted. This research proposes a light weight instant malware detector, named as InstDroid, for Android devices that can identify the malicious applications immediately. Through experiments, it is shown that InstDroid is an instant malware detector that provides instant security at low resource consumption, power and memory, in comparison to other well-known commercial antimalware applications.

Authors and Affiliations

Saba Arshad, Rabia Chaudhary, Munam Ali Shah, Neshmia Hafeez, Muhammad Kamran Abbasi

Keywords

Related Articles

Performances Analysis of a SCADA Architecture for Industrial Processes

SCADA (Supervisory Control And Data Acquisition) systems are used to monitor and control various industrial processes, and have been continuously developed in order to incorporate the new technologies from software devel...

A Posteriori Pareto Front Diversification Using a Copula-Based Estimation of Distribution Algorithm

We propose CEDA, a Copula-based Estimation of Distribution Algorithm, to increase the size, achieve high diversity and convergence of optimal solutions for a multiobjective optimization problem. The algorithm exploits th...

A Posteriori Error Estimator for Mixed Approximation of the Navier-Stokes Equations with the Boundary Condition

In this paper, we introduce the Navier-Stokes equations with a new boundary condition. In this context, we show the existence and uniqueness of the solution of the weak formulation associated with the proposed problem. T...

A Survey on Techniques to Detect Malicious Activites on Web

The world wide web is more vulnerable for malicious activities. Spam–advertisements, Sybil attacks, Rumour propagation, financial frauds, malware dissemination, and Sql injection are some of the malicious activities on w...

Discovery of Corrosion Patterns using Symbolic Time Series Representation and N-gram Model

There are many factors that can contribute to corrosion in the pipeline. Therefore, it is important for decision makers to analyze and identify the main factor of corrosion in order to take appropriate actions. The facto...

Download PDF file
  • EP ID EP260381
  • DOI 10.14569/IJACSA.2017.080822
  • Views 87
  • Downloads 0

How To Cite

Saba Arshad, Rabia Chaudhary, Munam Ali Shah, Neshmia Hafeez, Muhammad Kamran Abbasi (2017). InstDroid: A Light Weight Instant Malware Detector for Android Operating Systems. International Journal of Advanced Computer Science & Applications, 8(8), 168-175. https://europub.co.uk/articles/-A-260381