Journal
IEEE INTERNET OF THINGS JOURNAL
Volume 4, Issue 2, Pages 546-554Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JIOT.2016.2557487
Keywords
Aggregate signature; big data; coalition attack; data aggregation; designated verifier; identity-based (ID-based); unforgeability; wireless sensor network (WSN)
Categories
Funding
- National High Technology Research and Development Program [2015AA016007]
- National Nature Science Foundation of China [U1405255, 61170298, 61502237, 61572198]
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Affording secure and efficient big data aggregation methods is very attractive in the field of wireless sensor networks (WSNs) research. In real settings, the WSNs have been broadly applied, such as target tracking and environment remote monitoring. However, data can be easily compromised by a vast of attacks, such as data interception and data tampering, etc. In this paper, we mainly focus on data integrity protection, give an identity-based aggregate signature (IBAS) scheme with a designated verifier for WSNs. According to the advantage of aggregate signatures, our scheme not only can keep data integrity, but also can reduce bandwidth and storage cost for WSNs. Furthermore, the security of our IBAS scheme is rigorously presented based on the computational Diffie-Hellman assumption in random oracle model.
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