Volume 10, Issue 1, January-March 2019

SDIoBoT: A Software-Defined Internet of Blockchains of Things Model
Pages: 1-9 (9) | [Full Text] PDF (675K)
Navid Rajabi and Jihad Qaddour
School of Information Technology Illinois State University, Normal, IL- USA

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Internet of things (IoT) has been attracting the technology world as an integral part for implementation of smart buildings, smart cities and actually, smart world (which is destination of the current trend with the aim of connecting everything to everything). However, some major problems like security issues, lack of sufficient processing power, etc. will prevent researchers and major tech companies to reach a consensus to finalize a highly-secure, efficient architecture for smart cities. In this paper, we have proposed a new model to tackle well-known IoT implementation challenges by using softwaredefined networking (SDN) architecture as an integral part for acting as the brain of the model and one of the significant components of the future 5G telecommunication networks. In addition to that, we have taken advantages of the Blockchain technology to enhance the security of IoT networks which will be an integral part of the future smart world paradigm. The security of the model is provided by leveraging Elliptic Curve Digital Signature Algorithm (ECDSA) that is being used in Bitcoin for integrity.
 Index Terms - Internet of Things (IoT), Smart City, Smart World, Software-Defined Networking (SDN), Blockchain, ECDSA and Bitcoin
Energy Efficient Distance Based Multiple Cluster Head-Selection Approach in WSN
Pages: 10-17 (8) | [Full Text] PDF (537K)
Saira Bano and M. J. Arshad
Department of Computer Sciences and Engineering, University of Engineering and Technology, Lahore, Pakistan

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WSN is a growing technical platform having remarkable applications in various fields like structural monitoring, health monitoring, military, home networks, agriculture, etc. One of the limits of WS nodes has restricted energy resource. One way to minimize the power consumption is clustering which prolongs the time of the network. In this research work, we consider Energy Efficient Distance Based Multiple Cluster Head Selection Approach (EDMCHSA) in WSN. In this, a node will elect itself as a CH if it has sufficient transmission energy and distance from current to all CHs is greater than the minimum distance (D) among the CHs. The distance between the CH is, and other nodes are considered so that no lone nodes are left and a proper CH will be selected. Cluster heads (CHs) communicate with other remaining nodes. One cluster head leader, among all cluster heads, will be selected if it has sufficient transmission energy greater than the average residual energy of the rest of the nodes and distance of CHL to the BS is less than the average distance of other nodes. CHs will receive the packets, aggregate these packets, and transfer all aggregated packets to CHL. CHL will again aggregate the received packets and send to BS. The objective of this effort is to enhance lifespan WSN. It is shown by simulation that when we Compare LEACH-B and EDMCHSA, the energy utilization of WSN is decreased 20 % in EDMCHSA.
 Index Terms - Wireless Sensor Network, Efficient Power Utilization, Clustering Protocols, Lifetime of the Network, LEACH-B and EDMCHSA
Multimodal Image Fusion Technique MIFT-HDWRT for Improvement of Medical Diagnosis Abilities
Pages: - (-) | [Full Text] PDF (543K)
Manvi and Ashish Oberoi
RIMT University, Mandi-Gobindgarh - 147301, Punjab, India

Abstract -
Medical images like PET, MRI, and CT provide complementary information. These images need to be fused for proper diagnosis and also for clinical evaluation. This paper proposes a new medical image fusion based on the combined effect of Discrete Wavelet Transform (DWT) and Discrete Ripplet Transform (DRT). The images are initially transformed into multi resolution image using 2-level DWT. The resultant images are further transformed using DRT. Applying the average and maximum fusion rule and inverse DRT, the fused coefficients of the approximation image is obtained by applying inverse DWT to the fused coefficients. The performance of the fused image is evaluated using metrics like PSNR, Entropy, Standard Deviation and Structural Similarity Index Measure and it outperforms the other existing methods.
 Index Terms - Medical Image Fusion, Discrete Wavelet Transform, Discrete Ripplet Transform and Multiscale Geometric Analysis
Security and Privacy Issues of Fog Computing: A Review
Pages: - (-) | [Full Text] PDF (376K)
Rizwan Iqbal Bhatti
Computer Science and Engineering Department

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Fog Computing has been introduced as an innovation to minimize the gap between remote server and devices. Fog Computing is a standout amongst the most essential model utilized as a part of present-day world as an extension to FC. Like Cloud Computing it gives manipulation, data storage, and computation of data, low latency, and location awareness yet to the edge of network to the client end. Alongside the acquired qualities, it additionally acquires the issues of cloud computing like security issues and resource management. This paper exhibits the basic analysis of the fog architecture regarding security and compare the different security strategies on the bases of security objectives accomplished by each. It will give a clear and comprehensive refinement of security areas explored.
 Index Terms - Fog Computing, Security, Privacy, Authentication, Fog Nodes, Terminal Nodes and Intrusion Detection
Pages: - (-) | [Full Text] PDF (234K)

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Pages: - (-) | [Full Text] PDF (534K)

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