For your phone only: custom protocols for efficient secure function evaluation on mobile devices

Periodicals(2014)

引用 36|浏览34
暂无评分
摘要
AbstractMobile applications increasingly require users to surrender private information, such as GPS location or social networking data. To facilitate user privacy when using these applications, secure function evaluation SFE could be used to obliviously compute functions over encrypted inputs. The dominant construction for desktop applications is the Yao garbled circuit, but this technique requires significant processing power and network overhead, making it extremely expensive on resource-constrained mobile devices. In this work, we develop Efficient Mobile Oblivious Computation, a set of SFE protocols customized for the mobile platform. Using partially homomorphic cryptosystems, we develop protocols to meet the needs of two popular application types: location-based and social networking. Using these applications as comparison benchmarks, we demonstrate execution time improvements of 99% and network overhead improvements of 96% over the most optimized garbled circuit techniques. These results show that our protocols provide mobile application developers with a more practical and equally secure alternative to garbled circuits. Copyright © 2013 John Wiley & Sons, Ltd.
更多
查看译文
关键词
secure function evaluation,partially homomorphic encryption,garbled circuits,mobile applications,privacy
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要