The emerging security analysis challenge in big data environment is getting more attention of security industry and research institute. The current problems are mainly about the volume of security data and the understanding of the data. To solve the problems, we should employ the big data technology, and meantime, consider the semantic processing methods. In this paper, we combine the big data processing with semantic methods and propose a framework for security analysis in big data era with semantics. In this framework, we can merge multisources security data, and process and analyze data using semantic connection knowledge, which is supposed to understand security data semantically and process data with semantic association and inference methods. The proposed framework can be worked with current threat intelligence sharing and exchanging mechanism.

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The purpose of this study is to investigate the cloud\ud computing service security and access, by taking into account\ud the service provider, and the customer’s concerns. New trends\ud of challenges from the two types of concerns are identified\ud based on literature review. Especially, strategies to deal with\ud the challenges in the mobile environment are proposed. It is\ud expected that practitioners will be able to systematically\ud consider the cloud provider, service provider and the\ud customers’ concern, in order to integrate as well as balance the\ud need for cloud computing security and access

This study explores the cloud computing service security and access by considering the cloud provider, service provider and the customers concern and identifying new trends of challenges relate to the two types of concerns. Focusing on the mobile environment, strategies to cope with the challenges are proposed. By investigating concerns from different perspectives, and drawing upon the proposed levels of strategies, we hope to bridge the gap between technology/service providers and the customers.