{"id":158798,"date":"2023-02-23T03:23:32","date_gmt":"2023-02-23T09:23:32","guid":{"rendered":"https:\/\/lifeboat.com\/blog\/2023\/02\/ai-helps-crack-nist-recommended-post-quantum-encryption-algorithm"},"modified":"2023-02-23T03:23:32","modified_gmt":"2023-02-23T09:23:32","slug":"ai-helps-crack-nist-recommended-post-quantum-encryption-algorithm","status":"publish","type":"post","link":"https:\/\/lifeboat.com\/blog\/2023\/02\/ai-helps-crack-nist-recommended-post-quantum-encryption-algorithm","title":{"rendered":"AI Helps Crack NIST-Recommended Post-Quantum Encryption Algorithm"},"content":{"rendered":"<p><a class=\"aligncenter blog-photo\" href=\"https:\/\/lifeboat.com\/blog.images\/ai-helps-crack-nist-recommended-post-quantum-encryption-algorithm2.jpg\"><\/a><\/p>\n<p>The <strong>CRYSTALS-Kyber<\/strong> public-key encryption and key encapsulation mechanism recommended by NIST in July 2022 for post-quantum cryptography has been broken. Researchers from the KTH Royal Institute of Technology, Stockholm, Sweden, used recursive training AI combined with side channel attacks.<\/p>\n<p>A side-channel attack exploits measurable information obtained from a device running the target implementation via channels such as timing or power consumption. The revolutionary aspect of the research (<a href=\"https:\/\/eprint.iacr.org\/2022\/1713.pdf\" target=\"_blank\" rel=\"noreferrer noopener\">PDF<\/a>) was to apply deep learning analysis to side-channel differential analysis.<\/p>\n<p>\u201cDeep learning-based side-channel attacks,\u201d say the researchers, \u201ccan overcome conventional countermeasures such as masking, shuffling, random delays insertion, constant-weight encoding, code polymorphism, and randomized clock.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The CRYSTALS-Kyber public-key encryption and key encapsulation mechanism recommended by NIST in July 2022 for post-quantum cryptography has been broken. Researchers from the KTH Royal Institute of Technology, Stockholm, Sweden, used recursive training AI combined with side channel attacks. A side-channel attack exploits measurable information obtained from a device running the target implementation via channels [\u2026]<\/p>\n","protected":false},"author":662,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1625,41,1617,6],"tags":[],"class_list":["post-158798","post","type-post","status-publish","format-standard","hentry","category-encryption","category-information-science","category-quantum-physics","category-robotics-ai"],"_links":{"self":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/158798","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/users\/662"}],"replies":[{"embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/comments?post=158798"}],"version-history":[{"count":0,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/posts\/158798\/revisions"}],"wp:attachment":[{"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/media?parent=158798"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/categories?post=158798"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/lifeboat.com\/blog\/wp-json\/wp\/v2\/tags?post=158798"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}