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Nova · Professor Researcher · re-ranking top 20…
Elisa Bertino

Elisa Bertino

Verified

Purdue University · Computer Science

Active 1981–2024

h-index93
Citations38.8k
Papers1.6k234 last 5y
Funding$3.7M
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Research topics

  • Computer Science
  • Operating system
  • Artificial Intelligence
  • Computer Security
  • Embedded system
  • Engineering
  • Programming language
  • Computer network

Selected publications

  • Noncompliance as Deviant Behavior: An Automated Black-box Noncompliance Checker for 4G LTE Cellular Devices

    Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security · 2021 · 41 citations

    Senior authorCorresponding
    • Computer Science
    • Computer Science
    • Embedded system

    The paper focuses on developing an automated black-box testing approach called DIKEUE that checks 4G Long Term Evolution (LTE) control-plane protocol implementations in commercial-off-the-shelf (COTS) cellular devices (also, User Equipments or UEs) for noncompliance with the standard. Unlike prior noncompliance checking approaches which rely on property-guided testing, DIKEUE adopts a property-agnostic, differential testing approach, which leverages the existence of many different control-plane protocol implementations in COTS UEs. DIKEUE uses deviant behavior observed during differential analysis of pairwise COTS UEs as a proxy for identifying noncompliance instances. For deviant behavior identification, DIKEUE first uses black-box automata learning, specialized for 4G LTE control-plane protocols, to extract input-output finite state machine (FSM) for a given UE. It then reduces the identification of deviant behavior in two extracted FSMs as a model checking problem. We applied DIKEUE in checking noncompliance in 14 COTS UEs from 5 vendors and identified 15 new deviant behavior as well as 2 previous implementation issues. Among them, 11 are exploitable whereas 3 can cause potential interoperability issues.

  • Protecting the 4G and 5G Cellular Paging Protocols against Security and Privacy Attacks

    Proceedings on Privacy Enhancing Technologies · 2020 · 22 citations

    • Computer Science
    • Computer Security
    • Computer Science

    Abstract This paper focuses on protecting the cellular paging protocol — which balances between the quality-of-service and battery consumption of a device — against security and privacy attacks. Attacks against this protocol can have severe repercussions, for instance, allowing attacker to infer a victim’s location, leak a victim’s IMSI, and inject fabricated emergency alerts. To secure the protocol, we first identify the underlying design weaknesses enabling such attacks and then propose efficient and backward-compatible approaches to address these weaknesses. We also demonstrate the deployment feasibility of our enhanced paging protocol by implementing it on an open-source cellular protocol library and commodity hardware. Our evaluation demonstrates that the enhanced protocol can thwart attacks without incurring substantial overhead.

Recent grants

Frequent coauthors

  • Karl Aberer

    407 shared
  • Arun Iyengar

    407 shared
  • Ling Liu

    405 shared
  • Zhaohui Wu

    Wuhan Ship Development & Design Institute

    405 shared
  • Weisong Shi

    University of Delaware

    405 shared
  • Dimitrios Gerogakopolous

    Georgia Institute of Technology

    405 shared
  • M. Brian Blake

    Micropharma (Canada)

    405 shared
  • James Joshi

    University of Pittsburgh

    343 shared
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