Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

&nbsp;

&nbsp;

VIT University

Today’s internet community is vulnerable to wide range of attacks due to its interconnected nature. Denial of Service poses a serious threat due to prevalence of hacking tools which makes such attacks more common. DoS is more disruptive as it completely compromises the availability constraint of a web service or online service. Mitigation solutions are numerous based on several researches but none stands to be efficient in overwhelming or countering such attacks. Hence a detailed analysis about the existing technologies in cloud platform along with the mitigation measures are essential, which helps in yielding most prominent and promising solution. This study focuses those aspects and as an outcome web based ACL is proposed which helps in filtering the DoS attacks before it reaches the application itself. Web-based ACL’s are effective in filtering and differentiating the incoming traffic based on the rules defined. The rules for DoS detection are defined based on the dataset analysis of KDD for analysing the patterns and arrived at an efficient solution. The efficiency of web ACL is tested in Amazon Web Services (AWS) console and effectiveness in filtering is formulated. © Research Publication. All rights reserved.

World University root node

Computer Science

School of Computer Science and Engineering

Chennai Campus

Advances in Mathematics: Scientific Journal

Web-acl based dos mitigation solution for cloud

One of the major setbacks to the economy of a country is the production of fake currency. In recent past due to advancements in technologies in color printing, duplicating newer ways of faking the currency are coming into the picture. The problem has even risen in larger scale after demonetization in India and many fake currencies have entered the market. According to recent data, the Reserve Bank of India has estimated nearly around 2 trillion worth currency as counterfeit currency. This increase in fake currency has been a major problem, especially for a common person, and now that even the banks and ATM’s are disbursing fake currency. Almost everyone from a vegetable seller to a businessman is wary of accepting currencies in denominations of 500 and 2000 because they look almost exactly like a real note. The only solution to this problem is fake currency detector machines which are widely used and are mostly available in banks but which is not reachable every time by the average citizen. By building this system we hope to build an easy and efficient way to identify fake currencies which can be of great help to the common citizen. The application would be easily accessible to common people. Not only identifying if a note is fake or not, but our system is also even capable of recognizing the currency scanned. We have performed currency recognition and verification using Transfer Learning on AlexNet. The idea proposed by our system is to capture the image of currency notes of domination’s 100, 200, 500, 2000 through mobile and after processing tell if the currency is fake or not and check its denomination value. Verifying the currency has many applications in banks as they have to deal with counterfeit currency every day. Our system would be extremely useful for a person with a mobile phone to check the authenticity of his currency note. Recognizing the currency note can be a useful feature for the visually impaired as there would also be a voice announcement on recognizing and verification of a currency note. © 2020

International Journal of Mathematics and Computer Science

Indian Currency Recognition and Verification using Transfer Learning

Water is the elixir for agricultural process as the entire procedure relies merely on that. Optimization and effective usage of water in agriculture is an essential phenomenon. Wide varieties of automatic irrigation systems exists in practice but none of them proved to be efficient in terms of cost, technology adopted and fixing the loopholes which is evident from the current literature. Efficiency should be achieved in all the aforementioned levels for enhancing the agricultural productivity. Drip emitters with sensors helps in proper water distribution of agricultural crops which in turn prevents the water wastage and soil degradation. It joins hand with the emerging technology Internet of Things to enable smart tracking and solving the irrigation related issues. Hence the major focus is to assist the farmers for irrigation by applying organized procedures for getting the details regarding amount of water to be dispersed, issues in the water dispersion and water inlet flows. Effective automatic irrigation is the needy solution in today’s scenario as agriculture is the backbone in spite of the growth and advancement of any other processes. Our system attempts to fix the loopholes in the existing ones by tracking the water pressure in the dispersion pumps and checking the inlet, outlet flows. It eradicates the agricultural overhead with a complete user friendly interface. The interrelated computing devices manage the ability of data transfer over a network with minimized human intervention. Low cost is achieved in the irrigation process with the help of drip emitter connected to the semi-submersible water pump. Experimental test bed is done with the water pumps and sensors for validating its accuracy and effectiveness. © 2020 Alpha Publishers. All rights reserved.

Journal of Green Engineering

Low cost automatic irrigation system with intelligent performance tracking

An ad hoc network is a collection of wireless mobile hosts forming a temporary network without the aid of any established infrastructure or centralized administration. In this network, it may be necessary for one mobile host to enlist the aid of other hosts in forwarding a packet to its destination, due to the limited range of each mobile host's wireless transmissions. Mostly work has been concentrated on routing aspect. Security is one of the most important concepts in ad hoc networks. It has been observed that different protocols need different strategies for security. This paper presents new improved secure protocols (FLSL)for routing in ad hoc networks that uses dynamic source routing as well as applying Fuzzy Logic algorithms. © 2014 IEEE.