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Innovative Approaches to Side-Channel Analysis and Secure Computing in Hybrid Clouds

Dr. XiaoFeng Wang's research focuses on smartphone malware, side-channel analysis, and prevention strategies. Presenting work by Apu on automatic detection of side-channel leaks in web applications, it highlights novel techniques for quantifying information leaks. The initiative also aims to demultiplex encrypted Wi-Fi traffic through virtual interfaces, minimizing adversary linking attempts. Collaborative projects with the University of Nebraska-Lincoln, McGill University, and Microsoft Research explore secure computing frameworks using hybrid clouds to effectively separate sensitive and public data processes.

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Innovative Approaches to Side-Channel Analysis and Secure Computing in Hybrid Clouds

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Presentation Transcript

  1. Dr. XiaoFeng Wang’s Research

  2. My Work • Study on smartphone malware • the work to be presented by Apu • Side-channel analysis and prevention • Secure computing over hybrid clouds

  3. Side-channel Prevention • Continue to work on SideBuster • Automatic detection of side-channel leaks in web applications • Novel techniques for quantifying information leaks • Implementation and evaluation • Implement a prototype for GWT (Google Web Toolkit) programs

  4. Covering Side-channel Information Leaks Demultiplex Encrypted Wi-Fi traffic through multiple Virtual Interfaces Morph these flows according to the features of other applications’ traffic Objective: Prevent an adversary from linking these traffic together Joint work with University of Nebraska-Lincoln, McGill University and Microsoft Research

  5. Secure Computing over Hybrid Clouds • Build a Secure MapReduce Computing Framework • Transparently separate the computing over a hybrid cloud • The privacy cloud works on the sensitive data • The public cloud works on the public data • Work on legacy MapReduce jobs • Make it practical • Automatic re-arrangement of reduce structure to minimize the inter-cloud communication.

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