Big Data LifeCycle: Threats and Security Model

Big data is an emerging term referring to the process of managing huge amount of data from different sources, such as, DBMS, log files, postings of social media. Big data (text, number, images... etc.) could be divided into different forms: structured, semi-structured, and unstructured. Big data could be further described by some attributes like velocity, volume, variety, value, and complexity. The emerging big data technologies also raise many security concerns and challenges. In this paper, we present big data lifecycle framework. The lifecycle includes four phases, i.e., data collection, data storage, data analytics, and knowledge creation. We briefly introduce each phase. We further summarize the security threats and attacks for each phase. The big data lifecycle integrated with security threats and attacks to propose a security threat model to conduct research in big data security. Our work could be further used towards securing big data infrastructure.