NDLI logo
  • Content
  • Similar Resources
  • Metadata
  • Cite This
  • Log-in
  • Fullscreen
Log-in
Do not have an account? Register Now
Forgot your password? Account recovery
  1. Proceedings of the 2016 ACM on International Workshop on Security And Privacy Analytics (IWSPA '16)
  2. Evaluation of Android Malware Detection Based on System Calls
Loading...

Please wait, while we are loading the content...

Evaluation of Android Malware Detection Based on System Calls
How Can We Enable Privacy in an Age of Big Data Analytics?
Data Driven Data Center Network Security
Security Analytics in the Context of Adversarial Machine Learning
Acquiring and Analyzing App Metrics for Effective Mobile Malware Detection
Differential Privacy for Collaborative Filtering Recommender Algorithm
Static Analysis of Malicious Java Applets
Countering Phishing from Brands' Vantage Point
Detecting Advanced Persistent Threats using Fractal Dimension based Machine Learning Classification
Clone or Relative?: Understanding the Origins of Similar Android Apps
Towards Automatic Identification of JavaScript-oriented Machine-Based Tracking
Malware Detection Using Dynamic Birthmarks

Similar Documents

...
On behavior-based detection of malware on Android platform

Article

...
Detecting Android malware using sequences of system calls

Article

...
A Static Android Malware Detection Based on Actual Used Permissions Combination and API Calls

Article

...
Machine Learning for Android Malware Detection Using Permission and API Calls

Article

...
Android Malware Detection Using Category-Based Machine Learning Classifiers

Article

...
Android Malware Detection Based on System Calls

Article

...
Dynamic Permissions based Android Malware Detection using Machine Learning Techniques

Article

...
StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware

Article

...
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

Article

Evaluation of Android Malware Detection Based on System Calls

Content Provider ACM Digital Library
Author Ugrina, Ivo Rakamaric, Zvonimir Atzeni, Simone Dimjašević, Marko
Abstract With Android being the most widespread mobile platform, protecting it against malicious applications is essential. Android users typically install applications from large remote repositories, which provides ample opportunities for malicious newcomers. In this paper, we evaluate a few techniques for detecting malicious Android applications on a repository level. The techniques perform automatic classification based on tracking system calls while applications are executed in a sandbox environment. We implemented the techniques in the maline tool, and performed extensive empirical evaluation on a suite of around 12,000 applications. The evaluation considers the size and type of inputs used in analyses. We show that simple and relatively small inputs result in an overall detection accuracy of 93% with a 5% benign application classification error, while results are improved to a 96% detection accuracy with up-sampling. This indicates that system-call based techniques are viable to be used in practice. Finally, we show that even simplistic feature choices are effective, suggesting that more heavyweight approaches should be thoroughly (re)evaluated.
Starting Page 1
Ending Page 8
Page Count 8
File Format PDF
ISBN 9781450340779
DOI 10.1145/2875475.2875487
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-03-11
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Machine learning Malware detection Android System calls
Content Type Text
Resource Type Article
  • About
  • Disclaimer
  • Feedback
  • Sponsor
  • Contact
  • Chat with Us
About National Digital Library of India (NDLI)
NDLI logo

National Digital Library of India (NDLI) is a virtual repository of learning resources which is not just a repository with search/browse facilities but provides a host of services for the learner community. It is sponsored and mentored by Ministry of Education, Government of India, through its National Mission on Education through Information and Communication Technology (NMEICT). Filtered and federated searching is employed to facilitate focused searching so that learners can find the right resource with least effort and in minimum time. NDLI provides user group-specific services such as Examination Preparatory for School and College students and job aspirants. Services for Researchers and general learners are also provided. NDLI is designed to hold content of any language and provides interface support for 10 most widely used Indian languages. It is built to provide support for all academic levels including researchers and life-long learners, all disciplines, all popular forms of access devices and differently-abled learners. It is designed to enable people to learn and prepare from best practices from all over the world and to facilitate researchers to perform inter-linked exploration from multiple sources. It is developed, operated and maintained from Indian Institute of Technology Kharagpur.

Learn more about this project from here.

Disclaimer

NDLI is a conglomeration of freely available or institutionally contributed or donated or publisher managed contents. Almost all these contents are hosted and accessed from respective sources. The responsibility for authenticity, relevance, completeness, accuracy, reliability and suitability of these contents rests with the respective organization and NDLI has no responsibility or liability for these. Every effort is made to keep the NDLI portal up and running smoothly unless there are some unavoidable technical issues.

Feedback

Sponsor

Ministry of Education, through its National Mission on Education through Information and Communication Technology (NMEICT), has sponsored and funded the National Digital Library of India (NDLI) project.

Contact National Digital Library of India
Central Library (ISO-9001:2015 Certified)
Indian Institute of Technology Kharagpur
Kharagpur, West Bengal, India | PIN - 721302
See location in the Map
03222 282435
Mail: support@ndl.gov.in
Sl. Authority Responsibilities Communication Details
1 Ministry of Education (GoI),
Department of Higher Education
Sanctioning Authority https://www.education.gov.in/ict-initiatives
2 Indian Institute of Technology Kharagpur Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project https://www.iitkgp.ac.in
3 National Digital Library of India Office, Indian Institute of Technology Kharagpur The administrative and infrastructural headquarters of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
4 Project PI / Joint PI Principal Investigator and Joint Principal Investigators of the project Dr. B. Sutradhar  bsutra@ndl.gov.in
Prof. Saswat Chakrabarti  will be added soon
5 Website/Portal (Helpdesk) Queries regarding NDLI and its services support@ndl.gov.in
6 Contents and Copyright Issues Queries related to content curation and copyright issues content@ndl.gov.in
7 National Digital Library of India Club (NDLI Club) Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach clubsupport@ndl.gov.in
8 Digital Preservation Centre (DPC) Assistance with digitizing and archiving copyright-free printed books dpc@ndl.gov.in
9 IDR Setup or Support Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops idr@ndl.gov.in
I will try my best to help you...
Cite this Content
Loading...