⚡ 本页包含 AI 生成的分析内容，仅供参考
该论文讨论了密码学对集成电路设计带来的新挑战，包括在面积、功耗、吞吐量等传统优化目标与安全性之间的权衡，以及量子计算和后量子密码算法带来的计算需求，同时强调实现必须抵抗物理攻击，而防护措施会增加成本。
similar to applications in other fields. We have to worry about comparable optimization goals: area, power, energy, throughput and/or latency. Moore’s law helps to attain these goals. However, it also gives the attackers more computational power to break cryptographic algorithms. On top of this, quantum computers may become soon a reality, so that novel, very computationally demanding “post-quantum” cryptographic algorithms need implementation. Finally, there is a third dimension to the problem: implementations have to be resistant against physical attacks and countermeasures increase the cost. This paper demonstrates with actual data how these conflicting challenges are being addressed. More Moore: The strength of an algorithm is expressed by the computational complexity of known cryptanalytic tools to ‘break’ the algorithm on classical
Ingrid Verbauwhede, Josep Balasch, Sujoy Sinha Roy, Anthony Van Herrewege
KU Leuven, Leuven, Belgium Implementing cryptography and security into integrated circuits is somehow