Intel SGX is a security solution promising strong and practical security guarantees for trusted computing. However, recent reports demonstrated that such security guarantees of SGX are broken due to access pattern based side-channel attacks, including page fault, cache, branch prediction, and speculative execution. In order to stop these side-channel attackers, Oblivious RAM (ORAM) has gained strong attention from the security community as it provides cryptographically proven protection against access pattern based side-channels. While several proposed systems have successfully applied ORAM to thwart side-channels, those are severely limited in performance and its scalability due to notorious performance issues of ORAM. This paper presents TrustOre, addressing these issues that arise when using ORAM with Intel SGX. TrustOre leverages an external device, FPGA, to implement a trusted storage service within a completed isolated environment secure from side-channel attacks. TrustOre tackles several challenges in achieving such a goal: extending trust from SGX to FPGA without imposing architectural changes, providing a verifiably-secure connection between SGX applications and FPGA, and seamlessly supporting various access operations from SGX applications to FPGA. We implemented TrustOre on the commodity Intel Hybrid CPU-FPGA architecture. Then we evaluated with three state-of-the-art ORAM-based SGX applications, ZeroTrace, Obliviate, and Obfuscuro, as well as an endto-end key-value store application. According to our evaluation, TrustOre-based applications outperforms ORAM-based original applications ranging from 10× to 43×, while also showing far better scalability than ORAM-based ones. We emphasize that since TrustOre can be deployed as a simple plug-in to SGX machine's PCIe slot, it is readily used to thwart side-channel attacks in SGX, arguably one of the most cryptic and critical security holes today. CCS CONCEPTS • Security and privacy → Side-channel analysis and countermeasures; Security services; Security protocols.

Remote computing has emerged as a trendy computing model that enables users to process an immense number of computations efficiently on the remote server where the necessary data and highperformance computing power are provisioned. Unfortunately, despite such an advantage, this computing model suffers from insider threats that are committed by adversarial administrators of remote servers who attempt to steal or corrupt users' private data. These security threats are somewhat innate to remote computing in that there is no means to control administrators' unlimited data access. In this paper, we present our novel hardware-centric solution, called MeetGo, to address the intrinsic threats to remote computing. MeetGo is a field-programmable gate array (FPGA)-based trusted execution environment (TEE) that aims to operate independently of the host system architecture. To exhibit the ability and effectiveness of MeetGo as a TEE ensuring secure remote computing, we have built two concrete applications: cryptocurrency wallet and GPGPU. MeetGo provides a trust anchor for these applications that enable their users to trade cryptocurrency or to run a GPGPU program server on a remote server while staying safe from threats by insiders. Our experimental results clearly demonstrate that MeetGo incurs only a negligible performance overhead to the applications.INDEX TERMS Field-programmable gate array (FPGA), remote computing, remote attestation, secure communication channel, trusted execution environment (TEE)

No abstract

No abstract

No abstract

In the parallel decoding of turbo codes, the constituent interleaver must avoid the memory collision. This paper proposes a collision-free interleaver structure which can be optimized easily over various information blocksizes. The performance of the proposed interleaver is almost the same as or 0.1dB loss against almost regular permutation (ARP) at FER 10 −5 region with information block sizes of 320 and 640 when the simulation environment is given by the 3GPP standard turbo codes with 4 parallelism in AWGN channel.

No abstract

No abstract