TY - JOUR A2 - Yang, Qing AU - Mao, Jian AU - Tian, Wenqian AU - Zhang, Yan AU - Cui, Jian AU - Ma, Hanjun AU - Bian, Jingdong AU - Liu, Jianwei AU - Zhang, Jianhong PY - 2017 DA - 2017/10/31 TI - Co-Check: Collaborative Outsourced Data Auditing in Multicloud Environment SP - 2948025 VL - 2017 AB - With the increasing demand for ubiquitous connectivity, wireless technology has significantly improved our daily lives. Meanwhile, together with cloud-computing technology (e.g., cloud storage services and big data processing), new wireless networking technology becomes the foundation infrastructure of emerging communication networks. Particularly, cloud storage has been widely used in services, such as data outsourcing and resource sharing, among the heterogeneous wireless environments because of its convenience, low cost, and flexibility. However, users/clients lose the physical control of their data after outsourcing. Consequently, ensuring the integrity of the outsourced data becomes an important security requirement of cloud storage applications. In this paper, we present Co-Check, a collaborative multicloud data integrity audition scheme, which is based on BLS (Boneh-Lynn-Shacham) signature and homomorphic tags. According to the proposed scheme, clients can audit their outsourced data in a one-round challenge-response interaction with low performance overhead. Our scheme also supports dynamic data maintenance. The theoretical analysis and experiment results illustrate that our scheme is provably secure and efficient. SN - 1939-0114 UR - https://doi.org/10.1155/2017/2948025 DO - 10.1155/2017/2948025 JF - Security and Communication Networks PB - Hindawi KW - ER -