In the field of network security, researchers have implemented different models to secure the network. Intrusion Detection System is also one of them and Snort is an open source tool for Intrusion Detection and Prevention System. Today intrusion Detection System is a growing technology in network security and mostly researchers have focused in this field, some of them used signature or rule-based technique and some are anomaly based techniques to improve security of network. In this paper we propose a rule-base Intrusion Detection System with our self generated new Efficient Port Scan Detection Rules (EPSDR). These rules will be used to detect naive port scan attacks in real time network using Snort and Basic Analysis Security Engine (BASE). BASE is used to view the snort results in font-end web page because Snort has no graphic user interface. In This rule-based Intrusion Detection

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The kernel contains the nuts of Chironji. Traditionally, it was removed by hand hammer, small stone disc (Jatta) or by the use of Chironji decorticator. Design experiments were conducted by using the response surface methodology (RSM) for optimizing the machine parameters of wild Chironji nut decorticator. The effect of three variables (disc speed, disc clearance and moisture content) with three levels of disc speed (1.05, 1.64 and 2.28 m/s), three levels of disc clearance (6, 7 and 8 mm) and five levels of moisture treatedsample (7.83, 8.34, 8.57, 8.68 and 9.04 %, wet basis.) was used for optimization. The maximum whole kernels percentage and minimum kernel breakage were taken as responses in order to optimize the machine parameters. The most suitable optimal results were found at disc speed 1.05 m/s, disc clearance 7 mm and moisture content 8.57 per cent, respectively. The capacity of decorticator, decorticating efficiency, whole kernel recovery and broken kernel recovery percentage at optimized independent parameters were 22.09 kg/h, 87.20 per cent, 16 per cent and 2.88 per cent, respectively.

This book presents the abstracts of the papers presented to the Online National Conference on Research and Developments in Material Processing, Modelling and Characterization 2020 (RDMPMC-2020) held on 26th and 27th August 2020 organized by the Department of Metallurgical and Materials Science in Association with the Department of Production and Industrial Engineering, National Institute of Technology Jamshedpur, Jharkhand, India.