PRI: Privacy Preserving Inspection of Encrypted Network Traffic

Liron Schiff, Stefan Schmid

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

9 Citations (Scopus)

Abstract

Traffic inspection is a fundamental building block of many security solutions today. For example, to prevent the leakage or exfiltration of confidential insider information, as well as to block malicious traffic from entering the network, most enterprises today operate intrusion detection and prevention systems that inspect traffic. However, the state-of-theart inspection systems do not reflect well the interests of the different involved autonomous roles. For example, employees in an enterprise, or a company outsourcing its network management to a specialized third party, may require that their traffic remains confidential, even from the system administrator. Moreover, the rules used by the intrusion detection system, or more generally the configuration of an online or offline anomaly detection engine, may be provided by a third party, e.g., a security research firm, and can hence constitute a critical business asset which should be kept confidential. Today, it is often believed that accounting for these additional requirements is impossible, as they contradict efficiency and effectiveness. We in this paper explore a novel approach, called Privacy Preserving Inspection (PRI), which provides a solution to this problem, by preserving privacy of traffic inspection and confidentiality of inspection rules and configurations, and e.g., also supports the flexible installation of additional Data Leak Prevention (DLP) rules specific to the company.

Original languageEnglish
Title of host publicationProceedings - 2016 IEEE Symposium on Security and Privacy Workshops, SPW 2016
Number of pages8
PublisherIEEE
Publication date1 Aug 2016
Pages296-303
Article number7527782
ISBN (Electronic)9781509008247
DOIs
Publication statusPublished - 1 Aug 2016
Event2016 IEEE Symposium on Security and Privacy Workshops, SPW 2016 - San Jose, United States
Duration: 23 May 201625 May 2016

Conference

Conference2016 IEEE Symposium on Security and Privacy Workshops, SPW 2016
Country/TerritoryUnited States
CitySan Jose
Period23/05/201625/05/2016

Keywords

  • Insider Threats
  • Intrusion Detection
  • Privacy
  • SGX
  • Traffic Inspection
  • Trusted Hardware

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