An Innovative Technique to Detect Malicious Applications in Android
International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Open Access | Fully Refereed | Peer Reviewed International Journal

ISSN: 2319-7064

M.Tech / M.E / PhD Thesis | Computer Science & Engineering | India | Volume 4 Issue 12, December 2015

An Innovative Technique to Detect Malicious Applications in Android

Sharvari Prakash Chorghe, Dr. Narendra Shekokar

Android Operating System is getting popular with majority of users of the entire genre. Ever increasing mobile malware is a major threat to Android OS. Hence it is essential to add an extra security layer to android smart phone. Various malware detection techniques use Mutual Information or Information Gain for feature selection. Mutual Information calculates relevance of a feature and the class variable. Feature selection or ranking is crucial step before applying any machine learning classification algorithm on the pre-processed data. The proposed system uses improved mutual information feature selection (IMIFS) method to maximize relevance and minimize redundancy in the selected features. This improves the accuracy of the classification model. The proposed system will use features from manifest.xml as well as application code for malware detection. Bayesian Classification is used to develop classifier model to detect malicious applications before installation on the device.

Keywords: Android malware detection, improved feature selection, bayesian classification, data mining, machine learning

Edition: Volume 4 Issue 12, December 2015

Pages: 1846 - 1849

Share this Article

How to Cite this Article?

Sharvari Prakash Chorghe, Dr. Narendra Shekokar, "An Innovative Technique to Detect Malicious Applications in Android", International Journal of Science and Research (IJSR), https://www.ijsr.net/search_index_results_paperid.php?id=NOV152368, Volume 4 Issue 12, December 2015, 1846 - 1849

86 PDF Views | 65 PDF Downloads

Download Article PDF



Similar Articles with Keyword 'Android malware detection'

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 12, December 2015

Pages: 1846 - 1849

An Innovative Technique to Detect Malicious Applications in Android

Sharvari Prakash Chorghe, Dr. Narendra Shekokar

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 6 Issue 6, June 2017

Pages: 2792 - 2799

NASAM: Novel Approach to Secure Android Devices from Malware based on Apps Behaviour

Sagar Vitthal Shinde, Amrita A. Manjrekar

Share this Article

Similar Articles with Keyword 'bayesian classification'

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 12, December 2015

Pages: 1846 - 1849

An Innovative Technique to Detect Malicious Applications in Android

Sharvari Prakash Chorghe, Dr. Narendra Shekokar

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 2 Issue 12, December 2013

Pages: 324 - 330

A Fuzzy Pattern Application in Multiple Disease Diagnosis on Large Database: Review

Namrata D. Ghuse, S. R. Gupta

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 2 Issue 6, June 2013

Pages: 80 - 85

Classification of Cloud Data using Bayesian Classification

Krunal Patel, Rohit Srivastava

Share this Article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 10, October 2015

Pages: 374 - 377

Decision Support System for Industries using Naive Bayesian Classification with Laplace Smoothing

Y. Ratnavali, V. Valli Kumari

Share this Article

Research Paper, Computer Science & Engineering, Mexico, Volume 7 Issue 4, April 2018

Pages: 914 - 920

Hybrid Recommendation System based on Preferences and Consumer Location for the Restaurant Sector of Tlaxcala

Mary Cuecuecha, Saul Perez, Jose Hernandez, Federico Ramirez

Share this Article

Similar Articles with Keyword 'data mining'

Research Paper, Computer Science & Engineering, Kenya, Volume 7 Issue 5, May 2018

Pages: 1409 - 1411

Student's Performance Prediction Using FP-Tree Data Mining Techniques

Eliakim Ombati Akama

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015

Pages: 1165 - 1168

Privacy Preserving Closed Frequent Pattern Mining

Anju Vijayan

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 3 Issue 11, November 2014

Pages: 2214 - 2216

Privacy-Preserving Mining of Association Rules in Cloud

Vishal Ravindra Redekar, Dr. K.N.Honwadkar

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 10, October 2015

Pages: 2041 - 2047

Adaptive Analysis of Knowledge Engineering and Pattern Recognition on Medical Data

Jani Basha, Dasari. Rajesh

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 4 Issue 2, February 2015

Pages: 1127 - 1129

Trust Checking in Social Networks Using Data Mining

Archa.S

Share this Article

Similar Articles with Keyword 'machine learning'

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1454 - 1458

Heart Disease Prediction with Machine Learning Approaches

Megha Kamboj

Share this Article

Research Paper, Computer Science & Engineering, India, Volume 9 Issue 11, November 2020

Pages: 457 - 461

Artificial Intelligence for Hiring

Ishan Borker, Ashok Veda

Share this Article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 9 Issue 7, July 2020

Pages: 1888 - 1890

Spammer Detection and Identification on Social Network Using Machine Learning

Dr. Shameem Akhter, Noorain Saba

Share this Article

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 11, November 2015

Pages: 2250 - 2253

Survey on Fast and Intelligent Deep Web Crawler Using Machine Learning Approach

Kalyani Thodage

Share this Article

Review Papers, Computer Science & Engineering, India, Volume 4 Issue 4, April 2015

Pages: 2630 - 2634

A Review on Identifying the Main Content From Web Pages

Madhura R. Kaddu, Dr. R. B. Kulkarni

Share this Article
Top