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Surviving Moore's Law: Security, AI, and Last Mover Advantage
Most computer security research focuses on the pursuit of a "binary" ideal of security, such as proofs of correctness or cryptographic strength. Meanwhile, security for actual systems and networks increasingly relies on patches, rather than demonstrably strong designs. The cause: advances in complexity are causing greater harm to computer security than benefits.
Coping with this problem requires strategies designed specifically for the needs of complex systems. This talk will explore approaches that have worked and others that have failed spectacularly, while considering the long-term prospects for security.
Paul Kocher is President and Chief Scientist of Cryptography Research, where he leads a research team that specializes in applying results from cryptography and computer science to solve real-world security problems. His work includes co-authoring SSL v3.0, designing the DES Key Search machine Deep Crack, discovering Differential Power Analysis, and leading numerous security engineering projects.
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author = {Paul Kocher},
title = {Surviving Moore{\textquoteright}s Law: Security, {AI}, and Last Mover Advantage},
booktitle = {15th USENIX Security Symposium (USENIX Security 06)},
year = {2006},
address = {Vancouver, B.C. Canada},
url = {https://www.usenix.org/conference/15th-usenix-security-symposium/surviving-moores-law-security-ai-and-last-mover-advantage},
publisher = {USENIX Association},
month = jul
}
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