Scalable and Secure Mobile Sensor Cloud Architecture for the Delivery of Surveillance Applications As A Service

The surveillance-based systems integrate a large number of heterogeneous wireless sensor networks (WSNs) to collect, process, and analyze sensing data for the purpose of detecting and identifying security threats. Some of the major challenges facing these applications are ubiquitous access to sensing data, task processing overhead, data privacy and security, storage of voluminous data. All of this requires the development of novel approaches that ensure scalability and security. In this context, the design and development of Cloud WSNs enables the integration of several WSNs to enhance the reliability of these networks and, provide a powerful and scalable infrastructure for large-scale processing and storage tasks. With the recent smartphone developments, these devices can also be used as resources-rich sensors part of a Sensor cloud architecture in charge of monitoring sensitive events and collecting data to provide various, scalable, and secure services. This paper proposes to exploit the powerful capabilities of smartphones in order to use them as physical agents to provide surveillance-based services to customers. A self-reconfigurable Cloud-based smartphone infrastructure is proposed to provide wide range of customized surveillance-based services that exploit the sensing capabilities of these agents. Besides, novel attribute-based encryption protocols are proposed to protect the collected sensing data against forgery, illegal misuse or eavesdropping. After we validate the proposed security protocol using AVISPA, we model several interactions and messages exchanged inside the proposed self-reconfigurable Cloud WSN platform using an emerging communication and networking protocol named the eXtensible Message and Presence Protocol (XMPP).