1 / 25

VirusMeter : Preventing Your Cellphone from Spies RAID 2009

Lei Liu, Department of Computer Science, George Mason University Guanhua Yan, Information Sciences Group, Los Alamos National Laboratory Xinwen Zhang, Computer Science Lab, Samsung Information Systems America Songqing Chen, Department of Computer Science, George Mason University.

garson
Download Presentation

VirusMeter : Preventing Your Cellphone from Spies RAID 2009

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Lei Liu, Department of Computer Science, George Mason University Guanhua Yan, Information Sciences Group, Los Alamos National Laboratory Xinwen Zhang, Computer Science Lab, Samsung Information Systems America Songqing Chen, Department of Computer Science, George Mason University VirusMeter: Preventing Your Cellphone from SpiesRAID 2009

  2. Outline • Introduction • Related Work • Overview

  3. Introduction • 1 billion camera phones to be shipped in 2008 • Smartphones: about 10%, 100 million units • By the end of 2007, over 370 different mobile malware • Information stealing, overcharging, battery exhaustion, network congestion

  4. Introduction • Signature-based • Encryption, obfuscation, packing • Anomaly-based • High false alarm rate • Behavioral signatures • Resource-constrained • FlexiSPY-like malware doesn’t show anomalies in the order of relevant API calls

  5. Introduction • VirusMeter • Based on battery power • Challenges • Require power model • Need to measure battery power in real-time • Lightweight. Cannot consume too much CPU and power

  6. Related Work • Infection vectors • Bluetooth, MMS, memory cards, user downloading • Epidemic spreading in mobile, 2005 ACM WiSe • Use user interaction to identify vulnerable users, 2006 ACM WiSe • Behavioral signatures for mobile malware detection, 2008 Mobisys

  7. Related Work • Limit • Targeting particular situations (e.g., attack through MMS) • Demand significant infrastructure support • Demand non-trivial computing resoures from mobile devices

  8. Overview

More Related