Internet of <span lang="EN-US">things (IoT) systems collect large size of data from huge numbers of sensors. A wide rage of IoT systems relies on cloud resources to process and analyze the collected data. However, passing large amount of data to the cloud affects the overall performance and cannot support real-time requirements. Serverless computing is a promising technique that allows developer to write an application code, in any programming language, and specify an event to start its execution. Thus, IoT system can get a good benefit of serverless environment. The proposed work introduces a framework to allow Serverless computing to take place on the Fog nodes near the data collectors. The proposed framework is implemented as an extension to a Kubernetes cluster that manages a set of Docker containers at the fog layer. A prototype of the proposed solution was implemented using Node.Js for coding and YAML files to transfer data. The proposed framework was evaluated against traditional cloud Serverless execution. The experimental results proved the significant enhancement of the framework by dcreasing the respond time especially for data intensive IoT applications.</span>
Microservices architecture emerges as a promising software design approach that provides large scale software systems with flexibility, scalability and fault tolerance. Moreover, it is considered a suitable design to be implemented using software containers provided with several cloud providers. However, microservices suffer from several security challenges that hinder its progress. The concept of microservices is to break down the system functionality to a number of small coherent services. Hence, using microservices as a design approach increases the security risks by expanding the risk surface. In contrast to microservices, monolithic applications are implemented as a bulk of codes using single programming language. Such environment has several drawbacks related to flexibility and maintainability, but limits security issues. On the other hand, microservices implementation uses several programming languages and frameworks to implement small units of system functionality. Such environment opens the door to new critical security issues. The proposed work introduces the problem of securing microservices and provides a novel approach to protect microservices applications from masquerade attacks. The proposed framework also provides high protection to users from malicious services. The framework was implemented using 150 software containers to define users' HTTP requests and a set of 20 microservices were tested to proof its applicability and benefits
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