List of Titles

IoTSim‐Edge: A simulation framework for modeling the behavior of Internet of Things and edge computing environments

- Jha, Devki Nandan, Alwasel, Khaled, Alshoshan, Areeb, Huang, Xianghua, Naha, Ranesh, Battula, Sudheer, Garg, Saurabh, Puthal, Deepak, James, Philip, Zomaya, Albert, Dustdar, Schahram, Ranjan, Rajiv

Authors: Jha, Devki Nandan , Alwasel, Khaled , Alshoshan, Areeb , Huang, Xianghua , Naha, Ranesh , Battula, Sudheer , Garg, Saurabh , Puthal, Deepak , James, Philip , Zomaya, Albert , Dustdar, Schahram , Ranjan, Rajiv
Date: 2020
Type: Text , Journal article
Relation: Software, practice & experience Vol. 50, no. 6 (2020), p. 844-867
Full Text: false
Reviewed:
Description: Summary With the proliferation of Internet of Things (IoT) and edge computing paradigms, billions of IoT devices are being networked to support data‐driven and real‐time decision making across numerous application domains, including smart homes, smart transport, and smart buildings. These ubiquitously distributed IoT devices send the raw data to their respective edge device (eg, IoT gateways) or the cloud directly. The wide spectrum of possible application use cases make the design and networking of IoT and edge computing layers a very tedious process due to the: (i) complexity and heterogeneity of end‐point networks (eg, Wi‐Fi, 4G, and Bluetooth) (ii) heterogeneity of edge and IoT hardware resources and software stack (iv) mobility of IoT devices and (iii) the complex interplay between the IoT and edge layers. Unlike cloud computing, where researchers and developers seeking to test capacity planning, resource selection, network configuration, computation placement, and security management strategies had access to public cloud infrastructure (eg, Amazon and Azure), establishing an IoT and edge computing testbed that offers a high degree of verisimilitude is not only complex, costly, and resource‐intensive but also time‐intensive. Moreover, testing in real IoT and edge computing environments is not feasible due to the high cost and diverse domain knowledge required in order to reason about their diversity, scalability, and usability. To support performance testing and validation of IoT and edge computing configurations and algorithms at scale, simulation frameworks should be developed. Hence, this article proposes a novel simulator IoTSim‐Edge, which captures the behavior of heterogeneous IoT and edge computing infrastructure and allows users to test their infrastructure and framework in an easy and configurable manner. IoTSim‐Edge extends the capability of CloudSim to incorporate the different features of edge and IoT devices. The effectiveness of IoTSim‐Edge is described using three test cases. Results show the varying capability of IoTSim‐Edge in terms of application composition, battery‐oriented modeling, heterogeneous protocols modeling, and mobility modeling along with the resources provisioning for IoT applications.

SAMS: A seamless and authorized multimedia streaming framework for wmsn-based iomt

- Jan, Mian, Usman, Muhammad, He, Xiangjian, Ur Rehman, Ateeq

Authors: Jan, Mian , Usman, Muhammad , He, Xiangjian , Ur Rehman, Ateeq
Date: 2019
Type: Text , Journal article
Relation: IEEE internet of things journal Vol. 6, no. 2 (2019), p. 1576-1583
Full Text: false
Reviewed:
Description: An Internet of Multimedia Things (IoMT) architecture aims to provide a support for real-time multimedia applications by using wireless multimedia sensor nodes that are deployed for a long-term usage. These nodes are capable of capturing both multimedia and nonmultimedia data, and form a network known as Wireless Multimedia Sensor Network (WMSN). In a WMSN, underlying routing protocols need to provide an acceptable level of Quality of Service (QoS) support for multimedia traffic. In this paper, we propose a Seamless and Authorized Streaming (SAMS) framework for a cluster-based hierarchical WMSN. The SAMS uses authentication at different levels to form secured clusters. The formation of these clusters allows only legitimate nodes to transmit captured data to their Cluster Heads (CHs). Each node senses the environment, stores captured data in its buffer, and waits for its turn to transmit to its CH. This waiting may result in an excessive packet-loss and end-to-end delay for multimedia traffic. To address these issues, a channel allocation approach is proposed for an intercluster communication. In the case of a buffer overflow, a member node in one cluster switches to a neighboring CH provided that the latter has an available channel for allocation. The experimental results show that the SAMS provides an acceptable level of QoS and enhances security of an underlying network.

A comprehensive survey of security threats and their mitigation techniques for next‐generation SDN controllers

- Han, Tao, Jan, Syed, Tan, Zhiyuan, Usman, Muhammad, Jan, Mian, Khan, Rahim, Xu, Yongzhao

Authors: Han, Tao , Jan, Syed , Tan, Zhiyuan , Usman, Muhammad , Jan, Mian , Khan, Rahim , Xu, Yongzhao
Date: 2020
Type: Text , Journal article
Relation: Concurrency and computation Vol. 32, no. 16 (2020), p. n/a
Full Text: false
Reviewed:
Description: Summary Software Defined Network (SDN) and Network Virtualization (NV) are emerged paradigms that simplified the control and management of the next generation networks, most importantly, Internet of Things (IoT), Cloud Computing, and Cyber‐Physical Systems. The Internet of Things (IoT) includes a diverse range of a vast collection of heterogeneous devices that require interoperable communication, scalable platforms, and security provisioning. Security provisioning to an SDN‐based IoT network poses a real security challenge leading to various serious security threats due to the connection of various heterogeneous devices having a wide range of access protocols. Furthermore, the logical centralized controlled intelligence of the SDN architecture represents a plethora of security challenges due to its single point of failure. It may throw the entire network into chaos and thus expose it to various known and unknown security threats and attacks. Security of SDN controlled IoT environment is still in infancy and thus remains the prime research agenda for both the industry and academia. This paper comprehensively reviews the current state‐of‐the‐art security threats, vulnerabilities, and issues at the control plane. Moreover, this paper contributes by presenting a detailed classification of various security attacks on the control layer. A comprehensive state‐of‐the‐art review of the latest mitigation techniques for various security breaches is also presented. Finally, this paper presents future research directions and challenges for further investigation down the line.

Showing items 1 - 3 of 3