Biblio

Cloud computing has been envisioned as a next generation information technology (IT) paradigm. The risk of losing data stored with any untrustworthy service provider is the key barrier to widespread uptake of cloud computing. This paper proposes an algebraic signature based remote data possession checking (RDPC) scheme to verify the integrity of the data stored in the cloud. This scheme integrates forward error-correcting codes to enhance the data possession guarantee, which can recover the data when a small amount of file has been deleted. The scheme allows verification without the need for the auditor to compare against the original data, which reduces the communication complexity dramatically. The storage complexity of cloud user is reduced to several bytes' information. Extensive security analysis and simulation show that the proposed scheme is highly provably secure. Finally, experiment results reveal that the computation performance is effective, and bounded by disk I/O.

Fog computing faces various security and privacy threats. Internet of Things (IoTs) devices have limited computing, storage, and other resources. They are vulnerable to attack by adversaries. Although the existing privacy-preserving solutions in fog computing can be migrated to address some privacy issues, specific privacy challenges still exist because of the unique features of fog computing, such as the decentralized and hierarchical infrastructure, mobility, location and content-aware applications. Unfortunately, privacy-preserving issues and resources in fog computing have not been systematically identified, especially the privacy preservation in multiple fog node communication with end users. In this paper, we propose a dynamic MDP-based privacy-preserving model in zero-sum game to identify the efficiency of the privacy loss and payoff changes to preserve sensitive content in a fog computing environment. First, we develop a new dynamic model with MDP-based comprehensive algorithms. Then, extensive experimental results identify the significance of the proposed model compared with others in more effectively and feasibly solving the discussed issues.

With the development of computer technology and the popularization of network, network brings great convenience to colleagues and risks to people from all walks of life all over the world. The data in the network world is growing explosively. Various kinds of intrusions are emerging in an endless stream. The means of network intrusion are becoming more and more complex. The intrusions occur at any time and the security threats become more and more serious. Defense alone cannot meet the needs of system security. It is also necessary to monitor the behavior of users in the network at any time and detect new intrusions that may occur at any time. This will not only make people's normal network needs cannot be guaranteed, but also face great network risks. So that people not only rely on defensive means to protect network security, this paper explores block chain network intrusion detection system. Firstly, the characteristics of block chain are briefly introduced, and the challenges of block chain network intrusion security and privacy are proposed. Secondly, the intrusion detection system of WLAN is designed experimentally. Finally, the conclusion analysis of block chain network intrusion detection system is discussed.