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Virtualized In-Cloud Security Services for Mobile Devices

Virtualized In-Cloud Security Services for Mobile Devices. Authors:Jon Oberheide, Kaushik Veeraraghavan , Evan Cooke, Jason Flinn, Farnam Jahanian Electrical Engineering and Electrical Engineering and Computer Science University

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Virtualized In-Cloud Security Services for Mobile Devices

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  1. Virtualized In-Cloud Security Services for Mobile Devices Authors:Jon Oberheide, Kaushik Veeraraghavan , Evan Cooke, Jason Flinn, Farnam Jahanian Electrical Engineering andElectrical Engineering and Computer Science University of Michigan Ann Arbor Source: Proc. of MobiVirt, Breckenridge, CO, June 2008 Presenter:Hsin-Ruey, Tsai

  2. Introduction • Approach • Evaluation • Improvement

  3. Introduction • Security vendors have marketed mobile-specific versions of antivirus software. • When complexity of mobile platforms and threats increase, the functionality can have significant power and resource overhead. Bandwidth Power

  4. Benefits • Better detection of malicious software • Reduced on-device recourse consumption • Reduced on-device software complexity

  5. Introduction • Approach • Evaluation • Improvement

  6. CloudAV (After a file be analyzed) Network cache Trapped ID Local cache Cache Compare If no Other uses Network service Analyze

  7. CloudAV • Network service: Movie detection capabilities to a network service allows the use of multiple antivirus engines in parallel by hosting them in virtualized containers.

  8. Extending CloudAV • Mobile Agent: The file identifier algorithms and communications protocol with the network service Hook the execve syscall and file system operations to acquire and process candidate files before permitting their access. • Mobile-Specific Behavioral Engine: Emulate or run real operating systems and applications at runtime.

  9. Additional Security Services • SMS Spam Filtering It can be much more accurate in a network-centric deployment model through the aggregation of data from a large corpus of users. • Phishing Detection • Centralized Blacklists

  10. Introduction • Approach • Evaluation • Improvement

  11. Evaluation • For each experiment, we provide results for three cache states for our mobile agent (MA): CL+CR: cold local, cold remote; CL+WR: cold local, warm remote; and WL+WR: warm local, warm remote. • Computational Resources

  12. Evaluation • Power Consumption

  13. Improvement • Disconnected operation • Privacy

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