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.

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VIT University

Banking botnets, those particularly directed at holding away banking extortion, speak to a notable risk for financial institutes all around the world. These malware systems are reliable of immense monetary losses or for leading money laundering activities. As opposed to DDoS and spam malware, the stealthy idea of monetary botnets requires new methods and modern research with a specific end goal to detect,analyze and even to receive them down. This paper exhibits a work-inadvance research went for making a framework ready to moderate the money related botnet issue. The system demonstrated powerful when trialed against various samples of the notable malware Zeus panda and was confirmed further by analysis controlled with the financially.The proposed framework depends on a novel design that has been approved by one of the greatest investment funds banks and functionalities will demonstrate exceptionally helpful to fight banking cybercrime

VIT Unitversity

Computer Science

School of Computer Science and Engineering

Chennai Campus

International Journal of Engineering and Advanced Technology Regular Issue

Botnet Detection on the Analysis of Zeus Panda Financial Botnet

Almost in all the fields, the world is moving towards digitally. Automation, smart environments and precision activities are still spread its wings to make the human life easier. Ambient Intelligence (AmI) aims to create a smart electronic environment which is more responsive to the presence and interaction of the people. Using this intelligent technique, a novel approach for the cultivation of paddy is introduced in this paper. Developing a smart environment for the paddy cultivation helps the farmer a lot to increase the productivity. Technology involved in AmI, its corresponding architecture, prototype are discussed in this paper

VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE International Journal of Innovative Technology and Exploring Engineering

Creating a Smart Agricultural Environment using Ambient Intelligent Technique

Nowadays, our lives have become very much dependent on the power systems, whether it is in home or in offices or anywhere. Any failure in the power systems can bring our lives to a halt. To ensure no power fault, a continuous and remote monitoring, control and automation are needed. The implementation of constraints increases the efficiency of the power systems. But, to put monitoring, control and automation into practice we need network, and with this come the threat of cyber-attacks. With more open standard-based communication network, the automated power systems have become the target of the cyber-attacks. By exploiting the cyber components in networks, critical cyber components can be manipulated. Intruders can tamper the communication links by injecting false or modified data. To come up with security measures against these attacks, vulnerabilities of the power systems are being assessed to analyze the impacts of the cyber-attacks. Several techniques have been implemented so far to make the power systems less prone to threats. In this paper, technology like Machine Learning is used as anomaly discriminator and to provide security to the power system against the cyber threats.

International Journal of Innovative Technology and Exploring Engineering Regular Issue

Enhancing Cyber Security in Power Sector using Machine Learning

ABSTRACTObjective: The objective of this study is to investigate a simple and feasible approach for the production of silver nanoparticles (AgNPs) by using leafextract of Ipmoea nil and to evaluate its antibacterial activity.Methods: The AgNPs synthesized was characterized by a change in color and the absorption peaks by ultraviolet-visible spectroscopy. The phytocompounds responsible for the reduction and capping of silver ions was known from Fourier transform infrared spectra and phytochemical analysis.The antibacterial effects of prepared aqueous AgNPs were detected against five types of pathogenic bacteria, including Gram-negative and Grampositivebacteria (Escherichia coli, Salmonella, Bacillius, Proteus, and Klebsilla pneumonia) using agar well diffusion method.Results: A peak absorption value between 400 and 450 nm and the color change of the extract from yellowish to red wine were corresponds tothe plasmon absorbance of AgNPs. On the other hand, aqueous extract of I. nil mediated AgNPs found to be effective against tested microorganisms(Salmonella, Bacillus, and Proteus) with inhibition zone in the range of 10-13 mm (20 μl and 10 μl) except E. coli and K. pneumonia. Furthermore,aqueous extract of I. nil leaves had no ability to suppress the growth of the tested microorganisms in the concentration of 10 μl. The control alsoproduced similar inhibition zones like AgNPs.Conclusions: Our findings indicated that green synthesized AgNPs mediated by I. nil leaf extract had an efficient anti-bactericidal activity against thebacterial species tested. Hence, further studies are needed to highlight its mechanism and application as an antibacterial agent.Keywords: Ipomoea nil, Silver nanoparticles, Antibacterial activity, Bacteria.