iosr-JCE   Volume-22 ~ Issue-1 ~Jan - Feb 2020

Abstract: Recognition of objects, measures or remarks that doesn't match to a predictable sample or further objects in a different record set is called as outlier detection. Outlier detection is valid in different areas such as data analysis, disease prediction, fraud detection, organization fitness checking, and result findings in antenna systems, plus discovering Eco-system disorders. It is mainly utilized in data processing to eliminate the abnormal record from the different record set. The progress in special statistical expertise, the different number of data, in addition to their dimension and complexity which raise vastly, therefore it show result in the requirement of programmed inspection in the massive capacity of assorted structured record. So the plan for various structured record is nothing but special data mining techniques are operated. The goals of the different types of schemes or methods are.........

Keywords: outlier, data mining, distance based outlier detection, K-means clustering, density based clustering, cobweb algorithm

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[2]. Sheng-yi Jiang,Qing-bo An, "Clustering-Based Outlier Detection Method", Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 978-0-7695-3305-6/08, 2008 IEEE.
[3]. Yuan Li and Hiroyuki Kitagawa, "DB-Outlier Detection by Example in High Dimensional Datasets", 2007,IEEE.
[4]. Amit Banerjee, "Density-Based Evolutionary Outlier Detection", GECCO'12 Companion, July 7–11, 2012, Philadelphia, PA, USA. ACM 978-1-4503-1178-6/12/07.
[5]. Jyoti N Shinde, "Detection of Outliers in Large Dataset using Distributed Approach", International Journal of Modern Trends in Engineeringand Research, Volume 01, Issue 06, [December - 2014] e-ISSN: 2349-9745, p-ISSN: 2393-8161.

Abstract: Riot control sector play a difficult role in every nation's internal affairs, however, in the past decade many challenges has been facing this sector internationally and nationally as well, resulting into some problems that have been identified. The Egyptian Central Security Forces are the main department that runs the riot control sector, it is noted that they do not utilize any form of modernized framework to monitor, track and manage their operations which causes many of the problems identified for example the inaccuracy and inefficacy of commands due to lack of data. A Riot Control Monitoring and Support System is proposed as a multi-functional management solution that aims to provide seamless operation command and increases the operational capabilities of the maneuver.........

Keywords: Riot,Egyptian Central Security Forces (CSF), Baton, Battalion,Company, Platoon, Conscripts: ,Wireless Sensor Network (WSN),System on a Chip (SoC). Riot Control Monitoring and support systems (RCMSS),Java Script Object Notion (JSON),Application Programming Interface (API),Hyper Text Transfer Protocol (HTTP)

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Abstract: Security is one of the core areas of study in recent days. Encryption of the image is widely known as an effective method for its secure transmission. The objective of any image encryption method is to obtain a top quality hidden image in order to keep information secret. In this paper, the procedures and schemes of different image encryption techniques that provide privacy and security are reviewed.

Keywords: Chaos, Neural Networks, DNA method, Arnold Transform, Rubik Cube Method, Fractional Fourier Transform, Wavelet Transform, AES.

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