Wireless security has been an active research area since the last decade. A lot of studies of wireless security use cryptographic tools, but traditional cryptographic tools are normally based on computational assumptions, which may turn out to be invalid in the future. Consequently, it is very desirable to build cryptographic tools that do not rely on computational assumptions. In this paper, we focus on a crucial cryptographic tool, namely 1-out-of-2 oblivious transfer. This tool plays a central role in cryptography because we can build a cryptographic protocol for any polynomial-time computable function using this tool. We present a novel 1-out-of-2 oblivious transfer protocol based on wireless channel characteristics, which does not rely on any computational assumption. We also illustrate the potential broad applications of this protocol by giving two applications, one on private communications and the other on privacy preserving password verification. We have fully implemented this protocol on wireless devices and conducted experiments in real environments to evaluate the protocol. Our experimental results demonstrate that it has reasonable efficiency.

Wireless security has been an active research area since the last decade. A lot of studies of wireless security use cryptographic tools, but traditional cryptographic tools are normally based on computational assumptions, which may turn out to be invalid in the future. Consequently, it is very desirable to build cryptographic tools that do not rely on computational assumptions. In this paper, we focus on a crucial cryptographic tool, namely 1-out-of-2 oblivious transfer. This tool plays a central role in cryptography because we can build a cryptographic protocol for any polynomial-time computable function using this tool. We present a novel 1-out-of-2 oblivious transfer protocol based on wireless channel characteristics, which does not rely on any computational assumption. We also illustrate the potential broad applications of this protocol by giving an application on private communications. We have fully implemented this protocol on wireless devices and conducted experiments in real environments to evaluate the protocol and its application to private communications. Our experimental results demonstrate that it has reasonable efficiency.

Remote data integrity checking is a crucial technology in cloud computing. Recently, many works focus on providing data dynamics and/or public verifiability to this type of protocols. Existing protocols can support both features with the help of a third-party auditor. In a previous work, Sebé et al. propose a remote data integrity checking protocol that supports data dynamics. In this paper, we adapt Sebé et al.'s protocol to support public verifiability. The proposed protocol supports public verifiability without help of a third-party auditor. In addition, the proposed protocol does not leak any private information to third-party verifiers. Through a formal analysis, we show the correctness and security of the protocol. After that, through theoretical analysis and experimental results, we demonstrate that the proposed protocol has a good performance.

In this paper a novel parallel network traffic control mechanism for cloud computing is proposed based on the packet scheduler HTB (Hierarchical Token Buckets). The idea of bandwidth borrowing in HTB makes it suitable for large scale high-performance scenario such as cloud computing. However, the capacity of current HTB is only 0.5 Gbps, which could not afford the high traffic rate and user concurrency in the cloud. In this paper, a parallel HTB mechanism is proposed: new algorithms are designed to reduce concurrency in HTB key structure access. Then, the usage of lock-free FIFOs parallelizes HTB into a 2-stage pipeline on the multi-core architecture. This parallel HTB could not only increase the processing rate, but also keep a well performance on stability, which is important for cloud computing. The simulation results prove that parallel HTB's capacity can easily break 1 Gbps, and reach 2 Gbps at most, increasing the performance as high as 300% compared to the traditional HTB. This makes it an effective network traffic control mechanism for cloud computing. Moreover, our work is the first one to make HTB run in the pipelined fashion on a multi-core processor.