An Efficient Secure Data Aggregation Technique for Internet of Things Network: An Integrated Approach Using DB-MAC and Multi-path Topology

Internet of Things is a network of interconnected objects embedded with computational power and digital communications. The objects have an addressable and locatable counterpart on the Internet and can open a communication channel with any other entity at any time and in any place and generate data which is considered private by many users. Hence, one of the requirements of ubiquitous applications would be privacy preservation. After collecting the data, we need to do event filtering and complex event processing which enable us to process simple events in the data. This is achieved through data aggregation. In this paper we first discuss the challenges in security and privacy of Internet of Things. It provides a comprehensive review on the existing data aggregation techniques as applied to wireless sensor networks. Further we propose an integrated approach for data aggregation in the Internet of Things environment. Our approach takes into account the computational limitations and communication constraints associated with the Internet of Things network while also incorporating security features with the aim of designing a full-fledged secure data aggregation technique.