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

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 Information Security

School of Computer Science and Engineering

Vellore Campus

World University root node

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

The drastic technological advancements in the field of autonomous vehicles and connected cars lead to substantial progression in the commercial values of automobile industries. However, these advancements force the Original Equipment Manufacturers (OEMs) to shift from feedback-based reactive business analysis to operational-data based predictive analysis thereby enhancing both the customer satisfaction as well as business opportunities. The operational data is nothing but the parameters obtained from several parts of an automobile during its operation such as, temperature in radiator, viscosity of the engine oil and force applied over the brake disk. These operational data are gathered using several sensors implanted in different parts of an automobile and are continuously transmitted to backend computers to develop Digital Twin, which is a virtual model of the physical automobile. Later, gathered operational data are analyzed using data mining algorithms to predict the failures of an automobile well in advance, better insights into performance of an automobile thereby recommending alternative design choices and remote service management of failures by a professional technician. Firstly, this research work illustrates the platform for the creation of digital twin using Eclipse Hono, Eclipse Kura and Eclipse Ditto. Secondly, it explains about the operational data gathering and processing at the nearby edge devices as well as the remote cloud. Finally, the prediction of failures is demonstrated using Turbofan Engine Degradation Simulation Dataset by means of several machine learning regression algorithms and compare their accuracies. Finally, it is concluded that Gradient Boost Regressor provides better accuracy in predicting future failures.

Department of Design and Automation

School of Mechanical Engineering

SAE Technical Paper Series

Design and Implementation of Digital Twin for Predicting Failures in Automobiles Using Machine Learning Algorithms

The IT systems sent to satisfy their business functionalities and to provide good Quality of Service (QoS) parameters such as availability, scalability and performance. The failures are normal rather than exceptional in case of cloud computing. To improve system availability enhancing the system performance is an important factor. For that replicating the popular data to multiple sites is a best choice as the users can access the data from a nearby site. In this paper, we proposed a dynamic replication and placement algorithm to enhance the performance of the software system. We calculate popularity degree and replica factor to identify the suitable file to replicate. From this the most accessed file and the file need to be replicated is found and the replicate of the file is created. Then the proposed algorithm is used to place the replicas in the suitable location. We compare the performance of the technique with the existing technique.

International Journal of Intelligent Engineering and Systems

An efficient placement algorithm for data replication and to improve system availability in cloud environment

During the present era, mobiles and smart devices are in abundance. A number of services have been provided through these devices. Ubiquitous services is gaining popularity in the present era. Ubiquity in healthcare is a sector which has gained importance in the current decade, as medical costs are not affordable to the common man. Ubiquitous healthcare has scope in seamlessly monitoring patients and identifying their health conditions. However privacy is at risk when using ubiquitous healthcare as personal health data are given to third party individuals for monitoring, storage and retrieval. This paper proposes a privacy preserving model of an e-health system, so as to maintain the security of patient data across different domains in the e-health system. Copyright 2015 ACM.

SIGMIS-CPR 2015 - Proceedings of the 2015 ACM SIGMIS Conference on Computers and People Research

Privacy issues and techniques in e-health systems

Securing assets in the digital realm has become a challenge as there has been an exponential increment in the companies relying on the next generation technologies such as cloud computing. With the evolution of utility computing and Service Oriented Architecture as well as convergence of virtualization and web services into the notion of cloud computing, the attacks on these systems are indeed becoming more intricate and perplexing. Most inherently susceptible to the attack is Infrastructure as a Service (IaaS). This paper presents a technique of reinforcing the security of virtual machines whilst reducing the instances of false positives.

Lecture Notes in Engineering and Computer Science

Proactive autonomous defense shield (PADS) for Infrastructure as a Service (IaaS)

This paper presents the advantages of the six components published in the proceedings of the International Conference on Cloud Computing Technologies, Applications and Management (ICCCTAM-12) titled, "Security & Privacy Architecture as a Service for Small and Medium Enterprises," targeting their hosted web applications or services on small clouds to run their organization's business activities. Small and Medium Enterprises (SMEs) should have knowledge of the security protocols while publishing applications on clouds and giving out services to the end-user. Security & Privacy Architecture as a Service (SPAaaS) framework, which has been identified in ICCCTAM-12, will help the SMEs to gain better insight on the security model for such web based applications. The aim of this paper is to highlight the benefits of the six components that need to be addressed and implemented by SMEs in hosting their services in clouds.

Advantages of components in security &amp; privacy architecture as a service for small and medium enterprises

Cloud computing is a new paradigm that promises to provide businesses with an IT infrastructure that is flexible, inexpensive and easy to use. Despite such promises, cloud computing has not been adopted at a pace that was expected. Among various reasons that prevent its widespread adoption, the most serious issue that Cloud Computing faces concerns its inability to insure data privacy and confidentiality. The fact that the security challenges faced by the Cloud depend on its deployment model as well as delivery model has further aggravated this problem. Hence we need to develop unique solutions to address security risks at various levels in Cloud Computing. This paper presents a survey on the various types of technologies and architectures that seek to achieve trusted cloud computing at Infrastructure as a Service (IaaS) level. © 2012 IEEE.

Proceedings of 2012 International Conference on Cloud Computing Technologies, Applications and Management, ICCCTAM 2012

Cloud Computing: Exploring security design approaches in infrastructure as a service

This paper aims to discuss about the ERP implementation strategies and challenges in a Cloud Environment. ERP is important business software used in all major enterprises and is a useful tool to coordinate the available resources, information and activities to complete the business process. Its importance in an enterprise has led to an increased demand of the ERP software. ERP in CLOUD environment, will help Medium and small enterprise to use it as per their requirements and will lead to more efficient business process. © 2012 IEEE.

ERP on Cloud: Implementation strategies and challenges

This paper focuses on Security and Privacy for Small and Medium Enterprises pertaining to their dependency on small clouds to carry out their business activities. They lack the knowledge pertaining to the security to be applied to safeguard their data and services due to lack of in-house expert technical resources, security architects or less budgets to carry out the vulnerability study for them and to safeguard their data. Customers can rely on the services offered by the SMEs only if the hired services are secured. SMEs should have a proper understanding of the threats pertaining to the security aspect of the Software as a Service which they undertake. They should be able to investigate and asses the risk involved in showcasing their services on a cloud via the internet. The aim of this paper is to design a framework that brings out a Security & Privacy Architecture as a service for SMEs (SPAaaS) pertaining to Web Applications which can be offered by various security vendors. SPAaaS will assist the SMEs to evaluate the security requirements pertaining to host their data and services on cloud. © 2012 IEEE.