Alan E. Mislove

Assistant Professor

Current Research Projects

  • Personalization is now common in search engines, social networks, and e-­commerce sites. Although personalization is useful, it can also lead to user confusion, misinterpretation, exploitation, or even the outright censorship of information. Prof. Mislove is developing a framework to measure personalization on a variety of online services, and techniques for users to be informed when services are tailoring content for them.
  • Most free web-­‐based services (e.g., social networks) fund the service by monetizing user data, selling the results to third parties. Prof. Mislove is working on a new design for online services called confederated services, where users host their own data on cloud providers like Amazon. Users’ data stays under their control, and users still access the service via unmodified web browsers.
  • Multiple identity attacks pose a fundamental problem in distributed systems, where users can abuse the system in a variety of ways. Prof. Mislove is working on a number of approaches to addressing these attacks without relying on using past attacker behavior to detect future attacks. These approaches include credit­‐network based techniques and the novel use of anomaly detection over user data.

Research Interests

Network measurement, as well as systems, networking, and security/privacy issues associated with online social networks.

Education

  • BA in Computer Science | Rice University
  • MS in Computer Science | Rice University
  • PhD in Computer Science | Rice University

Google Scholar Page

Biography

Alan Mislove is an Associate Professor of Computer Science in the College of Computer and Information Science. Prior to joining Northeastern, he was a postdoctoral scholar and research assistant at the Max Planck Institute for Software Systems. He received his Ph.D from Rice University in 2009.

Prof. Mislove’s research spans systems, networks, privacy, and security, with an underlying theme of addressing the new and unforeseen challenges that online social networks are introducing. His work has appeared in a variety of top­‐tier conferences, and the social network data he collected is in-­use by over 1,000 research groups worldwide.

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