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Experimental Study of the Interplay of Channel and Network Coding in Low Power Sensor Applications
In this paper, the authors evaluate the performance of Random Linear Network Coding (RLNC) in low data rate indoor sensor applications operating in the ISM frequency band. They also investigate the results of its synergy with Forward Error Correction (FEC) codes at the PHY-layer in a Joint Channel-Network Coding (JCNC) ...
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Policy Enforcement Framework for Cloud Data Management
Cloud computing is a major emerging technology that is significantly changing industrial computing paradigms and business practices. However, security and privacy concerns have arisen as obstacles to widespread adoption of clouds by users. While much cloud security research focuses on enforcing standard access control policies typical of centralized systems, such ...
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Handwritten Signature Verification using Instance Based Learning
For authentication and authorization in legal matter humans are recognized by their Signature. Every human being has their own writing style and hence their signature is used in the financial domain for identity verification. So it is necessary to develop a technique which is efficient in verifying the Handwritten Signature ...
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Quasi-Static SIMO Fading Channels at Finite Blocklength
The authors investigate the maximal achievable rate for a given block-length and error probability over quasi-static Single-Input Multiple-Output (SIMO) fading channels. Under mild conditions on the channel gains, it is shown that the channel dispersion is zero regardless of whether the fading realizations are available at the transmitter and/or the ...
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Efficient Private Information Retrieval Using Secure Hardware
Existing crypto-based Private Information Retrieval (PIR) schemes are either limited in the set of queries they can per-form, or have prohibitively large performance overheads in making query comparisons. On the other hand, most previous tamper-resistant hardware schemes can support more general queries and have lower performance overheads, but need to ...
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MobSafe: Cloud Computing Based Forensic Analysis for Massive Mobile Applications Using Data Mining
With the explosive increase in mobile apps, more and more threats migrate from traditional PC client to mobile device. Compared with traditional Win+Intel alliance in PC (Personal Computer), Android+ARM alliance dominates in Mobile Internet, the apps replace the PC client software as the major target of malicious usage. In this ...
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The archiving of Internet traffic is an essential function for retrospective network event analysis and forensic computer communication. The state-of-the-art approach for network monitoring and analysis involves storage and analysis of network flow statistic. However, this approach loses much valuable information within the Internet traffic. With the advancement of commodity ...
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QoS-Aware Virtual Machine Scheduling for Video Streaming Services in Multi-Cloud
Video streaming services are trending to be deployed on cloud. Cloud computing offers better stability and lower price than traditional IT facilities. Huge storage capacity is essential for video streaming service. More and more cloud providers appear so there is increasing cloud platforms to choose. A better choice is to ...
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Breaking the On-Chip Latency Barrier Using SMART
As the number of on-chip cores increases, scalable on-chip topologies such as meshes inevitably add multiple hops in each network traversal. The best, the authors can do right now is to design 1-cycle routers, such that the low-load network latency between a source and destination is equal to the number ...
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How to Create a B2B Content Marketing Strategy
In this webcast, the presenter going to explain about how to create a B2B content marketing strategy? Content marketing which is an approach that involves creating, distributing and exchanging information in order to attract, retain and engage with the group of intended audience.
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