Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/30680
Title: ECASS: an encryption compression aggregation security scheme for secure data transmission in ambient assisted living systems
Authors: Mbarek, Bacem
Jabeur, Nafaa
YASAR, Ansar 
Issue Date: 2019
Publisher: SPRINGER LONDON LTD
Source: PERSONAL AND UBIQUITOUS COMPUTING, 23 (5-6) , p. 793 -799
Abstract: Considerable efforts are being spent worldwide to ensure comfortable living environments and decent, on-time assistance to elderly and people requiring healthcare services. Recent advances in data acquisition and communication are allowing revolutionary ambient assisted leaving (AAL) systems to be implemented, where healthcare data are collected and reported on-the-fly to dedicated medical servers for further analysis and actions. Due to the increasing rely on distributed, resource constrained sensing devices, AAL systems are being subject to large number of attacks. In addition to usual high energy consumption and communication overhead, current systems are not yet able to fully safeguard the private data of their users. To overcome these shortcomings, we propose in this paper to combine the use of cryptography, compressed sensing, and steganography into a new generic solution called Encryption Compression Aggregation Security Scheme (ECASS). While focusing on the specific case of Medical Healthcare Systems, ECASS aims to secure private data exchanges over wireless networks while achieving lower energy consumption and communication overhead. Our simulations with the NS-2.35 simulator are showing an improvement of 40 and 50% in terms of energy consumption and communication overhead respectively compared to the IBE-Lite security scheme.
Notes: Mbarek, B (reprint author), German Univ Technol Oman GUtech, Athaibah, Oman.
bacem.mbarek1@gmail.com; nafaa.jabeur@gutech.edu.om;
ansar.yasar@uhasselt.be
Other: Mbarek, B (reprint author), German Univ Technol Oman GUtech, Athaibah, Oman. bacem.mbarek1@gmail.com; nafaa.jabeur@gutech.edu.om; ansar.yasar@uhasselt.be
Keywords: Ambient assisted leaving;Security;Healthcare;Steganography;Compressed sensing;Cryptography
Document URI: http://hdl.handle.net/1942/30680
ISSN: 1617-4909
e-ISSN: 1617-4917
DOI: 10.1007/s00779-018-1128-3
ISI #: WOS:000509681800012
Rights: Springer-Verlag London Ltd., part of Springer Nature 2018
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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