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

Department of Information Security

VIT Unitversity

School of Computer Science and Engineering

Vellore Campus

Advances in Intelligent Systems and Computing Soft Computing for Problem Solving

Mobile Application for Alzheimer’s Patients

Liquefied Petroleum Gas (LPG) gas is the most commonly used gas for cooking in India and it is considered highly flammable since it is a combination of hydrocarbon gases such as Propane (C3H8), N-butane and Isobutane (C4H10). These elements contribute to its high density and long-distance travelling capabilities. This results in an extensive gas outspread during leakage with multiple avenues for ignition, primarily due to the electric circuitry at home. The primary focus of our project is to simulate a network map of a gas leakage warning system so as to showcase its implementation in an apartment-based setup. The network map can be scaled up for implementation in residential sectors, petroleum and oil fields, sewage lines, etc. based on our proof of concept. In our use case, we would implement LPG Gas Sensors to Microcontroller for providing a logical binary output of fire warning indication. © 2020 IEEE.

World University root node

2020 IEEE Student Conference on Research and Development, SCOReD 2020

Gas Leakage Warning System

Exploration of Various Cloud Security Challenges and Threats

Cloud computing technology is emerging rapidly due to increasing demand of service required by the different organizations, institutions, and individuals. Nonetheless, the data in the cloud environment is still not completely secure from the outside and inside intrusions and attacks. In this paper, an improvised approach for securing the data in cloud computing environment using parallel and multistage security mechanism (PMSSM) is proposed to provide simultaneous security checks and procedural multistage security using authentication techniques, intrusion detection and encryption. By taking this approach into consideration, the chances of identifying the attack can be increased as the parallelism in the verification and multistage security will enhance the probability of identifying the intrusion or the attack being performed by the attacker. Also, considering the dynamic nature of the intrusion, the parallel and multistage security can help in avoiding such scenario. The discussion of the proposed mechanism suggested that this model can be used to provide enhanced cloud data security to the cloud users. © 2020, Springer Nature Singapore Pte Ltd.

Department of Software Systems

Securing the Data in Cloud Environment Using Parallel and Multistage Security Mechanism

Smart Vehicular Systems prevail at improving the efficiency of vehicular systems; however, the aftereffects of an efficient system are often negated. This chapter focuses on developing a system that identifies a vehicle based on its unique ID using RFID readers. It makes an attempt to integrate the big hub technologies Blockchain and the Internet of Things to develop a viable Smart Vehicular System. The Internet of Things concept is used to maintain a log of the vehicles identified in various parking lots along with the time duration in the corresponding parking space. Blockchain is used to make automatic and secure payments towards parking based on the unique IDs of the vehicle and that of the parking area. The aim of a Smart Contract is to achieve a common parking fee irrespective of places, such as malls, theaters, hospitals, etc., and to reduce waiting time for parking and payment during peak hours. The Smart Vehicular System becomes a part of the Digital India Movement by reducing usage of physical currency notes and promotes the ecosystem by issuing e-receipts. Blockchain and manual transactions based on estimated data provided by the Ministry of Road and Transport were analyzed, and the transaction timing graph was plotted.

Department of Computational Intelligence

Department of Analytics

EAI/Springer Innovations in Communication and Computing

Smart vehicular management system using blockchain for internet of connected vehicles

Web pages are documents commonly used as a container, which are stored in servers and accessible through the internet. This information can be retrieved through the use of browsers using mobiles, desktops and other computational devices. The challenge is these applications are they are expected to meet the user's requirement to provide the best information with minimum time consumption. Not only for sharing quality information, but these web pages are also used for marketing, banking, healthcare applications and so on. In the growing financial era, the influence of a web page for marketing another web page is driving a new culture in the IT sector. The influence of a web page is one of the major roles when it comes to linking one page to the other page. In this paper, a graph-based method is proposed for analyzing how one web page can influence access of other web pages. This algorithm is used to discover the information flow patterns and their influences on the network structure. The main motive of the proposed work is to analyze the above-said metrics and verify the key pattern of linking flow and their influence in the network structure. The analysis of the proposed algorithm focuses on network structure along with navigation using edges among nodes in a weighted graph and facilitates the best method of accessing the designated web page. © 2020 The Authors. Published by Elsevier B.V.

Fulltext

Procedia Computer Science

Influential analysis of web structure using graph based approach

Comprehending the environment accurately and proficiently is one of the fundamental undertakings for the visually impaired. Many electronic travel aid devices are utilizing stereo vision techniques. However, there is no existing technology that helps to fulfill the requirements of the visually impaired and be economical at the same time. All the current technologies are implemented only for a specific purpose and have some constraints. In this paper, we propose a new framework that integrates the critical aspects of stereo vision with some additional features for aiding the visually impaired to solve their existing problems efficiently. In this system, both stereo vision and ultrasonic sensors have been integrated to get a precise awareness of the obstacles present in the real-time surroundings. The central concept is to categorize point vertices for the detection of objects in three-dimensional space according to height, width and slope of the adjacent vertices present in the images captured by CCD cameras. The intended assistive system serves to be more cost-effective for the visually impaired with the usage of CCD cameras and low-budget sensors. The assistive system in its recognition phase employs the proposed obstacle detection algorithm using stereo vision to recognize and track impediments that are at a farther distance. While, it employs ultrasonic sensors to detect obstacles present at shorter distances. The system also overcomes the problem of finding holes and descending stairs, faced by devices that use monoscopic vision. Additional features, like the Buzzer, GPS, Voice module, Alert message, are being incorporated. The principle intention of this paper is to contribute our knowledge to assist the visually impaired to become independent and help them to adapt to various daily situations.

SN Applied Sciences

Obstacle avoidance using stereo vision and depth maps for visual aid devices

The pervasive communications between vehicles and dynamic mobility may significantly increase data exchange and therefore bring a huge amount of traffic data in InVANETs. Due to some environmental factors, like the vulnerability of wireless connection, limitation of in-car computing ability, and speed of vehicles, it is extremely challenging to design identity authentication protocols satisfying the requirements of both high security and efficiency simultaneously. To this end, the aggregate signature technology has been employed in InVANETs. However, the technology still suffers from high computational overhead due to the management of certificates, as well as the key escrow problem (i.e., the dependence on a fully trusted third party). In this article, we propose the SE-CLASA protocol for InVANETs in order to tackle the aforementioned problems. In addition, a novel factor-contained aggregation mechanism is proposed to resist an information injection attack investigated in our analysis. Moreover, we prove the security of the proposed SE-CLASA and conclude that it meets most known security requirements in a general InVANET scenario. Simulation results show the superiority of the proposed SE-CLASA, in terms of security and efficiency, compared to the most recent authentications in InVANETs. © 1986-2012 IEEE.

IEEE Network

A Security-Enhanced Certificateless Aggregate Signature Authentication Protocol for InVANETs

Matrix factorisation is a one of the most popular techniques in recommendation systems. However, matrix factorisation still suffers from cold start problem and needs complicated computation. In this paper, we present a hybrid recommendation algorithm, which integrates user and item content information and matrix factorisation. First, based on user or item content information, biases of user or item can be evaluated in advance. Incorporating user and item biases into matrix factorisation model, we can obtain final prediction model. At last, momentum stochastic gradient descent method is used to optimise other parameters. Experimental results on a real data set have shown best performance of our algorithm in terms of MAE and RMSE when compared with other classical matrix factorisation recommendation algorithms. © 2020 Inderscience Enterprises Ltd.