Proceeding of

1st Int. Conf. on Recent Trends & Research in Engineering and Science

(ICRTRES-2015)

21-23 March, 2015

 

Organized By

Padm. Dr. V. B. Kolte College of Engineering & Polytechnic, Malkapur

 

as

A Special Issue of

International Journal of Computer Science and Applications

(ISSN:0974-1011)

 

Advisory Committee

Dr. G. R. Bamnote

(Dean, Faculty of Engg, SGBAU Amravati)

 

Dr. B. E. Narkhede

(Vice President IIIE, Mumbai)

 

Dr. Md. Mamun Habib

(University Utara Malaysia (UUM, Malaysia)

 

Dr. C. R. Patil

(Prof. PRMIT&R Badnera, Amravati)

 

Dr. T. R. Deshmukh

(Prof. PRMIT&R Badnera, Amravati)

 

Dr. W. Z. Gandhare

(Principal, Govt. College of Engineering Amravati)

 

Dr. D. N. Kyatanavar

(Principal, SRESCOE Kopargaon)

 

Dr. U. Pendharkar

(Professor, Government Engineering College, Ujjain)

 

Dr. Ajit Thete

(Director, Centre for Development of Leadership in    Education Pvt Ltd, Aurangabad)

 

Technical Committee

Dr. M. T. Datar

Dr. S. K. Garg

Dr. Shrikaant Kulkarni

Shri. D. N. Patil

Dr. A. W. Kolte

Prof. Ajitabh Pateriya

Prof. P. K. Patil

Prof. S.N. Khachane

Prof. Parag Chourey

Prof. B.K.Chaudhari

Prof. N.A. Kharche

Prof. R.M. Choudhari

Prof. R. B. Pandhare

Prof. A.P. Jadhao

Prof. S.B. Jadhav

Prof. Santosh Raikar

Prof. Y.P. Sushir

Prof. B. M. Tayde

 

Editor

Prof. K. H. Walse

 

Research Publications, India

 

 

   
 
 
 
IJCSA ISSN: 0974-1011 (Online) >>    
Title:

Study of Malware Detection Technique for Apk and SDK File Using Artificial Immune

Author:

Mr. Bhushan P Kinholkar and Mrs. Nilima Patil

 

Abstract

The word wide sharply increase in the number of smartphones user, the Android platform pose to becoming a market fugleman that makes the need for malware analysis on this platform an urgent issue. The current Artificial Immune Based malware detection systems they focus on traditional computers that uses information from OS or network, but the smartphone software behavior has its own structure and semantics. Current research cannot detect malware in smartphone exactly and efficiently. To detect these problems, in this paper only study of artificial immune algorithm, capitalize on earlier approaches for dynamic analysis of application behavior as a means for detecting malware in the smartphone as like sdk or android phone as like apk. An Artificial immune based smartphone and android phone  malware  detection Framework is     brought forwards and a prototype system is implemented, that the system can obtain higher detection rate and decrease the false positive rate.



2015 International Journal of Computer Science and Applications 

Published by Research Publications, India