|Title:||A chaos-based joint compression and encryption scheme for streaming data||Authors:||Chang Y.-J
|Keywords:||Acoustic streaming; Big data; Chaos theory; Chaotic systems; Compaction; Smart city; Table lookup; Ubiquitous computing; Chaotic map; Compression performance; Construction model; Joint Compression and Encryption; Look up table; Related works; Static approach; Streaming data; Cryptography||Issue Date:||2018||Start page/Pages:||1-9||Source:||2017 IEEE SmartWorld Ubiquitous Intelligence and Computing, Advanced and Trusted Computed, Scalable Computing and Communications, Cloud and Big Data Computing, Internet of People and Smart City Innovation, SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2017 - Conference Proceedings||Abstract:||
Some approaches for improving the performance of chaos-based joint compression and encryption schemes are proposed. Instead of building the whole lookup tables before encryption, we dynamically develop the bi-gram probability based lookup tables (LUT) during the encryption steps. This dynamically construction model can solve the problem of huge overheads of LUTs and further enhance the performances. Moreover, unlike the previous related works, which are all static, we also propose a streaming scheme in addition to a static approach. Simulation results show that the proposed modification leads to a better compression performance while the security is not compromised. ? 2017 IEEE.
|Appears in Collections:||資訊工程學系|
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