Secure and Private Distributed Collaborative Intrusion Detection.
Joint project of Ben-Gurion University and Ariel University.
E-mail: omrier@ariel.ac.il, amos.beimel@gmail.com
Scientific background
Sharing data among organizations is essential in detecting attacks in computer networks. When this collaboration is done in the sectoral or international levels, there is no trusted entity, and the data analysis has to be done in a distributed manner. For organizations to agree to share the data, it should be ensured that no confidential data will be leaked. In addition, this data contains in many cases information of individual clients. For legal reasons and to retain clients’ trust, it is important that information on individuals doesn’t leak. To prevent such leakage, we want to provide differential privacy, which, informally, guarantees no information leakage.
Research goals
We will build a firm theoretical foundations and an implementedinfrastructure that will serve as a basis for the construction of distributed collaborativeintrusion detection and prevention systems.
Methodology
The main two tools that we will use are differentially private analyses and secure function evaluation. We will develop the scientific foundation that will enable using these tools to construct a system that provides privacy while making it possible to perform meaningful analyses. Lately, quite efficient implementations of secure function evaluation protocols have been constructed using various cryptographic tools. In addition, methods for constructing differentially private analyses have been developed. We will use these protocols and the methods that we will develop to construct a prototype of a distributed infrastructure for detecting and preventing attacks. To construct this system, we will need to design efficient secure protocols for new tasks.
Papers
Team Members
Dr. Eran Omri
Dr. Amit Dvir
Past Ph.D. students:
Aner Ben Efraim
Past post doctoral researchers:
Past M.Sc. students:
Roi Inbar
B.Sc. students:
Past:
Roi Inbar
Josef Erlich
Ariel Rotem
Kfir Yaakovi
Or Didi
Jobs
We are looking for excellent graduate students or postdoctorants with interest in both theoretical and applied cryptography. For more details, please contact Eran Omri.
- Efficient Scalable Constant-Round MPC via Garbled Circuits. Aner Ben-Efraim and Yehuda Lindell and Eran Omri. ASIACRYPT 2017 Conference version (PDF)
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Concrete Efficiency Improvements for Multiparty Garbling with an Honest Majority. Aner Ben-Efraim and and Eran Omri, Latincrypt 2017 (PDF)
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Optimizing Semi-Honest Secure Multiparty Computation for the Internet. Aner Ben-Efraim and Yehuda Lindell and Eran Omri. ACM Conference on Computer and Communications Security 2016: 578-590 Draft of full version (PDF)
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Efficient Scalable Multiparty Private Set-Intersection via Garbled Bloom Filters. Roi Inbar, Eran Omri, Benny Pinkas. SCN 2018: 235-252.
Funding
This research was supported by the Ministry of Science, Technology, and Space.