Publication

Abstract : Mobile Edge Computing (MEC) is a 5G tech-nology, proposed by European Telecommunications Standards Institute (ETSI) Industry Specification Group as an IT service platform with cloud computing capabilities. MEC is used for performance-aware real-time applications to manage and analyze data in public and private cloud storage. However, energy and computing capabilities of mobile devices and PDAs (Personal Digital Assistants) are restricted. Ensuring the confidentiality of the information stored in the Mobile Edge Server is the most prominent issue with Mobile Edge Computing. Previous works concentrated on resource allocation algorithms rather than assuring the security of MEC servers and end devices. Authors do not propose a solution to reduce threats such as malicious insiders, access management and leaking of confidential data. In this paper, we propose a flexible and adaptive approach for ensuring the security of resources stored on the MEC server by establishing a secure link between IoT devices and IoT Gateway. We simulate a Threat model and perform various threats to validate security requirements such as restricting access to the server by using Origin Access Identity, encrypting data at rest, enabling logs and enabling automated backup. We further validate the proposed Power-Aware VM allocation policy. We show that our model consumes 6.43% lesser energy compared to existing VM allocation policies.