
Elisa Bertino
VerifiedPurdue University · Computer Science
Active 1981–2024
Research topics
- Computer Science
- Operating system
- Artificial Intelligence
- Computer Security
- Embedded system
- Engineering
- Programming language
- Computer network
Selected publications
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
TC: Large: Collaborative Research: Privacy-Enhanced Secure Data Provenance
NSF · $913k · 2011–2016
NSF · $240k · 2010–2014
IPS: Security Services for Healthcare Applications
NSF · $456k · 2007–2011
The Design and Use of Digital Identities
NSF · $900k · 2004–2008
NSF · $140k · 2016–2018
Frequent coauthors
- 407 shared
Karl Aberer
- 407 shared
Arun Iyengar
- 405 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)
- 343 shared
James Joshi
University of Pittsburgh
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