2 research outputs found

    A Multi-core architecture for a hybrid information system

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    This paper demonstrates our proposed Multi-core architecture for a hybrid information system (HIS) with the related work, system design, theories, experiments, analysis and discussion presented. Different designs on clusters, communication between different types of chips and clusters and network queuing methods have been described. Our aim is to achieve quality, reliability and resilience and to demonstrate it, our emphasis is on latency with messages communicated in our system – understand how it happens, what can trigger its increase, and then experiment with different types of focuses, including under Store-and-Forward Flow Control method, Wormhole flow control method, cluster size and message size to get a better understanding. Our analysis allows us to reduce latency and avoid its sharp increase. We justify our research contributions, particularly in the area of “traffic analysis and management” and “performance analysis of transmission control” of the HIS systems

    LiReK: A lightweight and real-time key establishment scheme for wearable embedded devices by gestures or motions

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    With the recent trend in wearable technology adoption, the security of these wearable devices has been the subject of scrutiny. Traditional cryptographic schemes such as key establishment schemes are not practical for deployment on the (resource-constrained) wearable devices, due to the limitations in their computational capabilities (e.g. limited battery life). Thus, in this study, we propose a lightweight and real-time key establishment scheme for wearable devices by leveraging the integrated accelerometer. Specifically, we introduce a novel way for users to initialize a shared key using random shakes/movements on their wearable devices. Construction of the real-time key is based on the users’ motion (e.g. walking), which does not require the data source for key construction in different devices worn by the same user to be matching. To address the known limitations on the regularity and predictability of gait, we propose a new quantization method to select data that involve noise and uncertain factors when generating secure random number. This enhances the security of the derived key. Our evaluations demonstrate that the matching rate of the shake-to-generate secret key is up to 91.00% and the corresponding generation rate is 2.027 bit/s, and devices worn on human participant’s chest, waist, wrist and carried in the participant’s pocket can generate 4.405, 4.089, 6.089 and 3.204 bits random number per second for key generation, respectively
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