Charles In Space - a space tourist

CharlsTimeLineThis blog is from a space tourist.

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Network Intrusion Detection using Supervised ML technique

Declaimer This is my initial version of the synopsis for PhD studies. There are plenty of things that i have to complete before i prepare the final version. Thus, this would be the alpha version. Due to the length of the blog post, will not be posting the entire draft. 1.Title of the thesis Network Intrusion Detection using Supervised Machine Learning Technique with Feature Selection 2.Introduction Intrusion Detection System, IDS, is a development which improve the network security and defending the information of the association. The IDS encourage the network chairman to recognize any malicious action on the network and alarms the executive to get the information made sure about by taking the appropriate activities against those attacks. An intrusion alludes to any unauthorized access or malicious usage of data assets. An intruder or an attacker is a true element that attempts to discover a way to increase unauthorized access to data, causes hurt or take part in different...
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Support for .NET v4 / v4.5 and v4.5.1

Microsoft has announced on 7th Aug 2014 about the release of .NET version 4.5.2 This means that all the new frameworks will be based on v4.5.2, it is also surprising to read from the blog post that, they are stopping support to frameworks v4 / v4.5 as well as v4.5.1 It also states that Microsoft will stop any updates on v4 / v4.5 and v4.5.1 by 12th Jan 2016
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PAMA – Progressive Analysis Methodology & Algorithm

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The following article is an idea for my research. Abstract Pattern recognition is a branch of Machine learning that focuses on recognition of patterns and regularities in data, although in some cases, it is considered to be nearly synonymous with machine learning. Source: From WikiPedia, http://j.mp/PatRecog This article is an early vision for understanding and recognizing the right algorithm towards identifying the available patterns with the help of parameters that are exposed by the data points of any given situation. 1. Introduction The challenge in this theory is identifying the patterns that are evolving form the enormous amount of data for any given time. Not just that, identifying the right pattern from these possible combinations and executing the analysis with a common methodology. The success of this methodology depends on the algorithm that is used to analyze the available pattern. The crucial situation is to match with the previous data points as well as the...
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