A Mobile Code-driven Trust Mechanism for detecting internal attacks in sensor node-powered IoT

© 2019 Elsevier Inc. The ubiquitous use of Internet-of-Things (IoT) is enabling a new era of wireless Sensor Nodes (SNs) that can be subject to attacks like any other piece of hardware and software. Unfortunately, an open and challenging issue is to what extent legitimate SNs can be trusted. This paper presents an energy-efficient, software-defined-network-based Mobile Code-driven Trust Mechanism (MCTM) for addressing this issue by assessing trust of SNs based on their forwarding behaviors. MCTM uses mobile code to visit the SNs based on pre-defined itineraries while collecting necessary details about these SNs in preparation for assessing their trust. The results gained from the experiments demonstrate a superior performance over a state-of-art technique that is energy-efficient management based on Software-Defined Network (SDN) for SNs. Message overhead is reduced by approximately 50%, which results in consuming less energy when detecting malicious SNs

An Energy Efficient Service Composition Mechanism Using a Hybrid Meta-heuristic Algorithm in a Mobile Cloud Environment

By increasing mobile devices in technology and human life, using a runtime and mobile services has gotten more complex along with the composition of a large number of atomic services. Different services are provided by mobile cloud components to represent the non-functional properties as Quality of Service (QoS), which is applied by a set of standards. On the other hand, the growth of the energy-source heterogeneity in mobile clouds is an emerging challenge according to the energy saving problem in mobile nodes. In order to mobile cloud service composition as an NP-Hard problem, an efficient selection method should be taken by problem using optimal energy-aware methods that can extend the deployment and interoperability of mobile cloud components. Also, an energy-aware service composition mechanism is required to preserve high energy saving scenarios for mobile cloud components. In this paper, an energy-aware mechanism is applied to optimize mobile cloud service composition using a hybrid Shuffled Frog Leaping Algorithm and Genetic Algorithm (SFGA). Experimental results capture that the proposed mechanism improves the feasibility of the service composition with minimum energy consumption, response time, and cost for mobile cloud components against some current algorithms

A Mobile Code-driven Trust Mechanism for Detecting Internal Attacks in Sensor Node-powered IoT

The ubiquitous use of Internet-of-Things (IoT) is enabling a new era of wire- less Sensor Nodes (SNs) that can be subject to attacks like any other piece of hardware and software. Unfortunately, an open and challenging issue is to what extent legitimate SNs can be trusted. This paper presents an energy-efficient, software-defined-network-based Mobile Code-driven Trust Mechanism (MCTM) for addressing this issue by assessing trust of SNs based on their forwarding behaviors. MCTM uses mobile code to visit the SNs based on pre-defined itineraries while collecting necessary details about these SNs in preparation for assessing their trust. The results gained from the experiments demonstrate a superior performance over a state-of-art technique that is energy-efficient management based on Software-Defined Network (SDN) for SNs. Message overhead is reduced by approximately 50%, which results in consuming less energy when detecting malicious SNs