  Recently, with the rapid development of big data, Internet of Things (IoT)
brings more and more intelligent and convenient services to people's daily
lives. Mobile healthcare crowd sensing (MHCS), as a typical application of IoT,
is becoming an effective approach to provide various medical and healthcare
services to individual or organizations. However, MHCS still have to face to
different security challenges in practice. For example, how to quickly and
effectively authenticate masses of bio-information uploaded by IoT terminals
without revealing the owners' sensitive information. Therefore, we propose a
large-scale concurrent data anonymous batch verification scheme for MHCS based
on an improved certificateless aggregate signature. The proposed scheme can
authenticate all sensing bio-information at once in a privacy preserving way.
The individual data generated by different users can be verified in batch,
while the actual identity of participants is hidden. Moreover, assuming the
intractability of CDHP, our scheme is proved to be secure. Finally, the
performance evaluation shows that the proposed scheme is suitable for MHCS, due
to its high efficiency.
