International Journal of Science and Research (IJSR)

International Journal of Science and Research (IJSR)
www.ijsr.net | Most Trusted Research Journal Since Year 2012

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


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

25 PDF Views | 22 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

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, India, Volume 2 Issue 6, June 2013

Pages: 80 - 85

Classification of Cloud Data using Bayesian Classification

Krunal Patel, Rohit Srivastava

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'

Survey Paper, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015

Pages: 709 - 711

Survey on K-Nearest Neighbor Categorization over Semantically Protected Encrypted Relational Information

Pranali D. Desai, Vinod S. Wadne

Share this article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 7, July 2015

Pages: 1889 - 1892

Future Prediction For Heart Attack Problem Based on Most Appropriate Attribute value

Amit Kisan Pagare, Vijay Kumar Verma

Share this article

Research Paper, Computer Science & Engineering, India, Volume 3 Issue 9, September 2014

Pages: 968 - 971

Medical Information Retrieval in Mobile Devices

Bibek Raj Dhakal, Prof. Dr. A. Damodaram

Share this article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015

Pages: 1422 - 1426

Incremental CFP-Tree Optimization For Efficient Representative Pattern Set Mining

Vivek Satpute, Prof. Digambar Padulkar

Share this article

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

Pages: 2258 - 2261

A Survey on k-NN Classification over Semantically Secure Encrypted Relational

Mayadevi Kotlapure

Share this article



Similar Articles with Keyword 'machine learning'

Review Papers, Computer Science & Engineering, India, Volume 4 Issue 3, March 2015

Pages: 1333 - 1335

Mobile Video Recommendation System on Cloud with User Behavior

Latika Gaddam, Pratibha Yalagi

Share this article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 2, February 2015

Pages: 1164 - 1168

Predicting Cancer by Analyzing Gene Using Data Mining Techniques

Shahida M

Share this article

Dissertation Chapters, Computer Science & Engineering, India, Volume 4 Issue 5, May 2015

Pages: 2436 - 2438

Attacking & Preventing an AI Based Disease Identification System

Prasanna Shivaji Shinde, Avinash Shrivas

Share this article

M.Tech / M.E / PhD Thesis, Computer Science & Engineering, India, Volume 4 Issue 6, June 2015

Pages: 1790 - 1791

Review on Network Traffic Classification

Kuldeep Singh, Manoj Kumar

Share this article

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
Top