Titlebook: Algorithms and Architectures for Parallel Processing; 18th International C Jaideep Vaidya,Jin Li Conference proceedings 2018 Springer Natur

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極力證明

谷物

Reliable Content Delivery in Lossy Named Data Networks Based on Network Codinge the number of packets retransmitted in lossy NDN networks. Extensive real physical emulation shows that network coding reduces the number of packet retransmission and improves the reliability of content delivery in lossy NDN networks.

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擔(dān)心

Harden Tamper-Proofing to Combat MATE Attackciency since it only introduces the constant extra cost of time and space. We deploy our work on SPECint-2006 benchmark suit. The experimental results demonstrate our scheme is light-weight for computation and storage.

Militia

A Fast and Effective Detection of Mobile Malware Behavior Using Network Trafficic, which can quickly and effectively detect malware behavior. We first employ the traffic collection platform to collect network traffic generated by various apps. After preprocessing (filtering and aggregating) the collected network traffic data, we get a large number of TCP flows. Next we extract

instructive

A Scalable Pthreads-Compatible Thread Model for VM-Intensive Programs16 cores than Pthreads. Moreover, by using Linux Perf, we further analyze critical bottlenecks that limit the scalability of workloads programmed by Pthreads. This paper also reviews the performance impact of the latest Linux 4.10 kernel optimization on . and Pthreads, and results show that . still

使隔離

Identifying Bitcoin Users Using Deep Neural Networkcognition and clustering, where the implementation relies directly on the distance between address feature vectors..We set up an address-user pairing dataset with extensive collections and careful sanitation. We tested our method using the dataset and proved its efficiency. In contrast to heuristic-

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