{"id":124,"date":"2023-12-15T20:30:31","date_gmt":"2023-12-16T01:30:31","guid":{"rendered":"https:\/\/carleton.ca\/sci-lab\/?p=124"},"modified":"2025-03-08T19:32:12","modified_gmt":"2025-03-09T00:32:12","slug":"paper-published-oblivious-network-intrusion-detection-systems","status":"publish","type":"post","link":"https:\/\/carleton.ca\/sci-lab\/2023\/paper-published-oblivious-network-intrusion-detection-systems\/","title":{"rendered":"Paper Published: Oblivious network intrusion detection systems"},"content":{"rendered":"<p>Our recently published paper &#8211; Mahmoud AbdelHafeez Sayed, and Mostafa Taha. &#8220;<em><strong>Oblivious network intrusion detection systems.<\/strong><\/em>&#8221; <i>Scientific Reports<\/i> 13.1 (2023): 22308. https:\/\/doi.org\/10.1038\/s41598-023-48475-w &#8211; is an updated and more comprehensive journal version of the conference paper &#8220;Oblivious Intrusion Detection Systems&#8221; published in HOST 2022.<\/p>\n<p>A main function of network intrusion detection systems (NIDSs) is to monitor network traffic and match it against rules. Oblivious NIDSs (O-NIDS) perform the same tasks of NIDSs but they use encrypted rules and produce encrypted results without being able to decrypt the rules or the results. Current implementations of O-NIDS suffer from slow searching speeds and\/or lack of generality. In this paper, we present a generic approach to implement a privacy-preserving O-NIDS based on hybrid binary gates. We also present two resource-flexible algorithm bundles built upon the hybrid binary gates to perform the NIDS\u2019s essential tasks of direct matching and range matching as a proof of concept. Our approach utilizes a Homomorphic Encryption (HE) layer in an abstract fashion, which makes it implementable by many HE schemes compared to the state-of-the-art where the underlying HE scheme is a core part of the approach. This feature allowed the use of already-existing HE libraries that utilize parallelization techniques in GPUs for faster performance. We achieved a rule encryption time as low as 0.012% of the state of the art with only 0.047% of its encrypted rule size. Also, we achieved a rule-matching speed that is almost 20,000 times faster than the state of the art.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Our recently published paper &#8211; Mahmoud AbdelHafeez Sayed, and Mostafa Taha. &#8220;Oblivious network intrusion detection systems.&#8221; Scientific Reports 13.1 (2023): 22308. https:\/\/doi.org\/10.1038\/s41598-023-48475-w &#8211; is an updated and more comprehensive journal version of the conference paper &#8220;Oblivious Intrusion Detection Systems&#8221; published in HOST 2022. A main function of network intrusion detection systems (NIDSs) is to monitor [&hellip;]<\/p>\n","protected":false},"author":7,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","_mi_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[22],"tags":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.2 - 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