Distributing and Obfuscating Firewalls via Oblivious Bloom Filter Evaluation
Ken Goss, Wei Jiang

TL;DR
This paper presents a novel distributed and obfuscated firewall architecture that enhances security against insider and external threats by distributing firewall rule evaluation using secret sharing, multi-party computation, and Bloom filters.
Contribution
It introduces an innovative approach combining secret sharing, multi-party computation, and Bloom filters to securely distribute and obfuscate firewall rules.
Findings
Enhanced security against insider threats
Distributed firewall rule evaluation
Efficient and secure firewall management
Abstract
Firewalls have long been in use to protect local networks from threats of the larger Internet. Although firewalls are effective in preventing attacks initiated from outside, they are vulnerable to insider threats, e.g., malicious insiders may access and alter firewall configurations, and disable firewall services. In this paper, we develop an innovative distributed architecture to obliviously manage and evaluate firewalls to prevent both insider and external attacks oriented to the firewalls. Our proposed structure alleviates these issues by obfuscating the firewall rules or policies themselves, then distributing the function of evaluating these rules across multiple servers. Thus, both accessing and altering the rules are considerably more difficult thereby providing better protection to the local network as well as greater security for the firewall itself. We achieve this by…
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Taxonomy
TopicsCaching and Content Delivery · Internet Traffic Analysis and Secure E-voting · Network Security and Intrusion Detection
