4th International Conference on Networks and Communications

July 14~15, 2018, Chennai, India

Accepted Papers

  • Lightweight Authentication and Encryption mechanism in Routing Protocol for Low Power and Lossy Networks (RPL)
    1Aruna Gawde, 2Akshay Shah, 3Nishit Sakariya, 4Dishith Poojary, 1,2,3,4Department of Computer Engineering, DJ Sanghvi College of Engineering, India.

    Newer concepts like Wireless Sensor Networks (WSN), Internet of Things (IoT), 6LoWPAN (IPv6 over Low- Power Wireless Personal Area Networks) etc are emerging. So, protocols, techniques and concepts that have been developed for the traditional computational devices do not essentially apply to the newer low power, less capable devices which are an integral part of the Internet of Things paradigm. So newer protocols need to be developed and [1] has drafted in specifications for the routing protocol for Low Power and Lossy Networks. LLN routers typically operate with constraints on processing power, memory, and energy (battery power). Their interconnects are characterized by high loss rates, low data rates, and instability. We aim to propose an authentication and encryption protocol for these Low Power and Lossy Networks (LLN).

  • Efficient Reversible data hiding based on lossless recovery
    1S.A. Rajgure, 2V.M. Thakare, 1,2Department of Computer Science Engineering, SGBAU, Maharashtra, India

    This paper proposes an efficient reversible data hiding scheme based on lossless recovery. RDH in encrypted JPEG bit stream, the most popular image format, aiming at providing an RDH-EI approach with separable extraction capability, high embedding capacity, and secure encryption. This paper proposes an iterative algorithm to recover the original image. In this work, lossless recovery is required. Although JPEG encoding itself is lossy, users always hope not to introduce further degradation to a JPEG image while uploading. That is why lossless recovery is required. The proposed method also offers better security than the previous work.

  • Efficient Scheme to Improve Top-k Position Monitoring of Document Stream
    1A.K.Nachankar, 2V.M. Thakare, 1,2SGBAU, Amravati, Maharashtra, India.

    The efficient processing of document streams have been still research area in many information filtering system with lots of algorithms to design the efficient document stream monitoring system. This paper proposes a “K-Nearest Neigbors (K-NN) Clustering” framework. The proposed framework is used to reduces the recomputational and memory utilization. The main goal of this approach to simply seperate the data based on the assumed similarties between various classes. Thus, the classes can be differentiated from one another by searching for similarities between the data provided. It helps to give better throughput and less overhead.