Biblio

With the continuous development of edge computing, the application scope of mobile crowdsourcing (MCS) is constantly increasing. The distributed nature of edge computing can transmit data at the edge of processing to meet the needs of low latency. The trustworthiness of the third-party platform will affect the level of privacy protection, because managers of the platform may disclose the information of workers. Anonymous servers also belong to third-party platforms. For unreal third-party platforms, this paper recommends that workers first use the localized differential privacy mechanism to interfere with the real location information, and then upload it to an anonymous server to request services, called the localized differential anonymous privacy protection mechanism (LDNP). The two privacy protection mechanisms further enhance privacy protection, but exacerbate the loss of service quality. Therefore, this paper proposes to give corresponding compensation based on the authenticity of the location information uploaded by workers, so as to encourage more workers to upload real location information. Through comparative experiments on real data, the LDNP algorithm not only protects the location privacy of workers, but also maintains the availability of data. The simulation experiment verifies the effectiveness of the incentive mechanism.

Content centric networking (CCN) where content/named data as the first entity has become one of the most promising architectures for the future Internet. To achieve better security, the Interest NACK mechanism is introduced into CCN; however, it has not attracted enough attention and most of the CCN architectures do not embed Interest NACK until now. This study focuses on analysing the urgency of implementing Interest NACK into CCN, by designing a novel network threat named advanced interest flooding attack (AIFA) to attack CCN, which can not only exhaust the pending interest table (PIT) resource of each involved router just as normal interest flooding attack (IFA), but also keep each PIT entry unexpired until it finishes, making it harder to detect and more harmful when compared with the normal IFA. Specifically, the damage of AIFA on CCN architecture with and without Interest NACK is evaluated and analysed, compared with normal IFA, and then the urgency of implementing Interest NACK is highlighted.