Candidate Multilinear Maps
暫譯: 候選多線性映射
Sanjam Garg
- 出版商: Morgan & Claypool
- 出版日期: 2015-03-01
- 售價: $2,640
- 貴賓價: 9.5 折 $2,508
- 語言: 英文
- 頁數: 122
- 裝訂: Hardcover
- ISBN: 1627055495
- ISBN-13: 9781627055499
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商品描述
The aim of cryptography is to design primitives and protocols that withstand adversarial behavior. Information theoretic cryptography, how-so-ever desirable, is extremely restrictive and most non-trivial cryptographic tasks are known to be information theoretically impossible. In order to realize sophisticated cryptographic primitives, we forgo information theoretic security and assume limitations on what can be efficiently computed. In other words we attempt to build secure systems conditioned on some computational intractability assumption such as factoring, discrete log, decisional Diffie-Hellman, learning with errors, and many more. In this work, based on the 2013 ACM Doctoral Dissertation Award-winning thesis, we put forth new plausible lattice-based constructions with properties that approximate the sought after multilinear maps. The multilinear analog of the decision Diffie-Hellman problem appears to be hard in our construction, and this allows for their use in cryptography. These constructions open doors to providing solutions to a number of important open problems.
商品描述(中文翻譯)
密碼學的目標是設計能夠抵抗對抗性行為的原語和協議。雖然信息理論密碼學是非常理想的,但它的限制極為嚴格,且大多數非平凡的密碼學任務被認為在信息理論上是不可能的。為了實現複雜的密碼學原語,我們放棄了信息理論安全性,並假設在有效計算上存在某些限制。換句話說,我們試圖在某些計算上不可解的假設下構建安全系統,例如因數分解、離散對數、決策Diffie-Hellman、帶錯誤學習等。
在本研究中,基於2013年ACM博士論文獎獲獎論文,我們提出了新的可行的基於格的構造,具有接近所需的多線性映射的特性。我們的構造中,決策Diffie-Hellman問題的多線性類比似乎是困難的,這使得它們可以在密碼學中使用。這些構造為解決一些重要的未解決問題提供了可能的解決方案。