A Secure IoT Service Architecture With an Efficient Balance Dynamics Based on Cloud and Edge Computing

The Internet of Things (IoT)-Cloud combines the IoT and cloud computing, which not only enhances the IoT’s capability but also expands the scope of its applications. However, it exhibits significant security and efficiency problems that must be solved. Internal attacks account for a large fraction of the associated security problems, however, traditional security strategies are not capable of addressing these attacks effectively. Moreover, as repeated/similar service requirements become greater in number, the efficiency of IoT-Cloud services is seriously affected. In this paper, a novel architecture that integrates a trust evaluation mechanism and service template with a balance dynamics based on cloud and edge computing is proposed to overcome these problems. In this architecture, the edge network and the edge platform are designed in such a way as to reduce resource consumption and ensure the extensibility of trust evaluation mechanism, respectively. To improve the efficiency of IoT-Cloud services, the service parameter template is established in the cloud and the service parsing template is established in the edge platform. Moreover, the edge network can assist the edge platform in establishing service parsing templates based on the trust evaluation mechanism and meet special service requirements. The experimental results illustrate that this edge-based architecture can improve both the security and efficiency of IoT-Cloud systems.

[1]  Hsiao-Hwa Chen,et al.  An Energy-Aware Trust Derivation Scheme With Game Theoretic Approach in Wireless Sensor Networks for IoT Applications , 2014, IEEE Internet of Things Journal.

[2]  Jinjun Chen,et al.  A Time Efficient Approach for Detecting Errors in Big Sensor Data on Cloud , 2015, IEEE Transactions on Parallel and Distributed Systems.

[3]  Mohsen Guizani,et al.  Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications , 2015, IEEE Communications Surveys & Tutorials.

[4]  Jorge Sá Silva,et al.  Security for the Internet of Things: A Survey of Existing Protocols and Open Research Issues , 2015, IEEE Communications Surveys & Tutorials.

[5]  Victor C. M. Leung,et al.  Trust assistance in Sensor-Cloud , 2015, 2015 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS).

[6]  Jaime Llorca,et al.  IoT-Cloud Service Optimization in Next Generation Smart Environments , 2016, IEEE Journal on Selected Areas in Communications.

[7]  Kamalrulnizam Abu Bakar,et al.  A trust aware routing protocol for energy constrained wireless sensor network , 2016, Telecommun. Syst..

[8]  Jia Guo,et al.  Trust Management for SOA-Based IoT and Its Application to Service Composition , 2016, IEEE Transactions on Services Computing.

[9]  Qun Jin,et al.  Ubi-Liven: A Human-Centric Safe and Secure Framework of Ubiquitous Living Environments for the Elderly , 2016, 2016 International Conference on Advanced Cloud and Big Data (CBD).

[10]  Antonio Pescapè,et al.  Integration of Cloud computing and Internet of Things: A survey , 2016, Future Gener. Comput. Syst..

[11]  Weisong Shi,et al.  Edge Computing: Vision and Challenges , 2016, IEEE Internet of Things Journal.

[12]  Jie Wu,et al.  Understanding Graph-Based Trust Evaluation in Online Social Networks , 2016, ACM Comput. Surv..

[13]  Widyawan,et al.  Internet of Things (IoT) Framework for Granting Trust among Objects , 2017, J. Inf. Process. Syst..

[14]  Quan Z. Sheng,et al.  S-ABC: A paradigm of service domain-oriented artificial bee colony algorithms for service selection and composition , 2017, Future Gener. Comput. Syst..

[15]  Bandar Aldawsari,et al.  An energy-aware service composition algorithm for multiple cloud-based IoT applications , 2017, J. Netw. Comput. Appl..

[16]  Xiaolei Dong,et al.  Security and Privacy for Cloud-Based IoT: Challenges , 2017, IEEE Communications Magazine.

[17]  Jie Wu,et al.  Dependable Structural Health Monitoring Using Wireless Sensor Networks , 2015, IEEE Transactions on Dependable and Secure Computing.

[18]  Victor C. M. Leung,et al.  Multi-Method Data Delivery for Green Sensor-Cloud , 2017, IEEE Communications Magazine.

[19]  Mahadev Satyanarayanan,et al.  The Emergence of Edge Computing , 2017, Computer.

[20]  Farookh Khadeer Hussain,et al.  Clustering-Driven Intelligent Trust Management Methodology for the Internet of Things (CITM-IoT) , 2018, Mobile Networks and Applications.

[21]  Jie Wu,et al.  Big Data Reduction for a Smart City’s Critical Infrastructural Health Monitoring , 2018, IEEE Communications Magazine.

[22]  Jianhua Liu,et al.  Energy-Efficient Two-Layer Cooperative Defense Scheme to Secure Sensor-Clouds , 2018, IEEE Transactions on Information Forensics and Security.

[23]  Gürkan Solmaz,et al.  FogFlow: Easy Programming of IoT Services Over Cloud and Edges for Smart Cities , 2018, IEEE Internet of Things Journal.

[24]  Chunhua Su,et al.  Enhancing Trust Management for Wireless Intrusion Detection via Traffic Sampling in the Era of Big Data , 2018, IEEE Access.

[25]  Young-Sik Jeong,et al.  Secure Authentication-Management human-centric Scheme for trusting personal resource information on mobile cloud computing with blockchain , 2018, Human-centric Computing and Information Sciences.

[26]  Anfeng Liu,et al.  Fog-based storage technology to fight with cyber threat , 2018, Future Gener. Comput. Syst..

[27]  Anfeng Liu,et al.  A Three-Layer Privacy Preserving Cloud Storage Scheme Based on Computational Intelligence in Fog Computing , 2018, IEEE Transactions on Emerging Topics in Computational Intelligence.

[28]  Arun Kumar Sangaiah,et al.  Marine surveying and mapping system based on Cloud Computing and Internet of Things , 2018, Future Gener. Comput. Syst..

[29]  Laurence T. Yang,et al.  Defending ON–OFF Attacks Using Light Probing Messages in Smart Sensors for Industrial Communication Systems , 2018, IEEE Transactions on Industrial Informatics.

[30]  Sudip Misra,et al.  Optimal Data Center Scheduling for Quality of Service Management in Sensor-Cloud , 2019, IEEE Transactions on Cloud Computing.

[31]  Zhetao Li,et al.  Minimizing Convergecast Time and Energy Consumption in Green Internet of Things , 2020, IEEE Transactions on Emerging Topics in Computing.

[32]  Weijia Jia,et al.  A novel trust mechanism based on Fog Computing in Sensor-Cloud System , 2020, Future Gener. Comput. Syst..

[33]  Hui Tian,et al.  Data collection from WSNs to the cloud based on mobile Fog elements , 2017, Future Gener. Comput. Syst..