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Fast Secure Communications in Shared Memory Multiprocessor Systems

机译:共享内存多处理器系统中的快速安全通信

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Protection and security are becoming essential requirements in commercial servers. To provide secure memory and cache-to-cache communications, we presented Interconnect-Independent Security Enhanced Shared Memory Multiprocessor System (I^{2}SEMS), mainly focusing on how to manage a global counter to encrypt, decrypt, and authenticate data messages with little performance overhead. However, I^{2}SEMS was vulnerable to replay attacks on data messages and integrity attacks on control and counter messages. This paper proposes three authentication schemes to remove those security vulnerabilities. First, we prevent replay attacks on data messages by inserting Request Counter (RC) into request messages. Second, we also use RC to detect integrity attacks on control messages. Third, we propose a new counter, referred to as GCC Counter (GC), to protect the global counter messages. We simulated our design with SPLASH-2 benchmarks on up to 16-processor shared memory multiprocessor systems by using Simics with Wisconsin multifacet General Execution-driven Multiprocessor Simulator (GEMS). Simulation results show that the overall performance slowdown is 4 percent on average with the highest keystream hit rate of 78 percent.
机译:保护和安全性已成为商用服务器的基本要求。为了提供安全的内存和高速缓存到高速缓存通信,我们介绍了独立于互连的安全增强型共享内存多处理器系统(I ^ {2} SEMS),主要侧重于如何管理全局计数器以加密,解密和认证数据消息。几乎没有性能开销。但是,I ^ {2} SEMS容易受到对数据消息的重放攻击以及对控制消息和计数器消息的完整性攻击。本文提出了三种身份验证方案,以消除这些安全漏洞。首先,我们通过在请求消息中插入请求计数器(RC)来防止对数据消息的重放攻击。其次,我们还使用RC来检测对控制消息的完整性攻击。第三,我们提出一个新的计数器,称为GCC计数器(GC),以保护全局计数器消息。通过将Simics与Wisconsin multifacet通用执行驱动的多处理器模拟器(GEMS)一起使用,我们在多达16个处理器的共享内存多处理器系统上使用SPLASH-2基准对我们的设计进行了仿真。仿真结果表明,总体性能下降平均为4%,最高关键流命中率为78%。

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