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Anonymous Secure Framework in Connected Smart Home Environments

Abstract:
The smart home is an environment where heterogeneous electronic devices and appliances are networked together to provide smart services in an ubiquitous manner to the individuals. As the homes become smarter, more complex and technology dependent, the need for an adequate security mechanism with minimum individual’s intervention is growing. The recent serious security attacks have shown how the Internetenabled smart homes can be turned into very dangerous spots for various ill intentions, and thus lead the privacy concerns for the individuals. For instance, an eavesdropper is able to derive the identity of a particular device/appliance via public channels that can be used to infer in the life pattern of an individual within the home area network. This paper proposes an anonymous secure framework (ASF) in connected smart home environments, using solely lightweight operations. The proposed framework in this paper provides efficient authentication and key agreement, and enables devices (identity and data) anonymity and unlinkability. One-time session key progression regularly renews the session key for the smart devices and dilutes the risk of using a compromised session key in the ASF. It is demonstrated that computation complexity of the proposed framework is low as compared to the existing schemes, while security has been significantly improved.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1109/TIFS.2016.2647225

Authors

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Institution:
University of Oxford
Division:
MPLS
Department:
Computer Science
Role:
Author


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Grant:
AAPELE,Architectures,Algorithms
PlatformsforEnhancedLivingEnvironments


Publisher:
Institute of Electrical and Electronics Engineers
Journal:
IEEE Transactions on Information Forensics and Security More from this journal
Volume:
12
Issue:
4
Pages:
968 - 979
Publication date:
2017-01-02
Acceptance date:
2016-12-13
DOI:
EISSN:
1556-6021
ISSN:
1556-6013


Keywords:
Pubs id:
pubs:668789
UUID:
uuid:63c0a22d-7efe-4d8a-9cd3-838807fdfee9
Local pid:
pubs:668789
Source identifiers:
668789
Deposit date:
2017-01-10
ARK identifier:

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