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

Agriculture is the major sector that increases the economy of a country and reduces the poverty thereby, it makes the livelihood of people easier. The adverse condition of the agriculture sector is that the strategies, policies, services and programs implemented by the government to the farmers must be well planned and organised. In the agricultural application, there are many situations that we can use Information and Communication Technology. This includes farmers, dairy workers, agricultural traders, scientists, intermediaries and non-governmental organisations working in the agricultural field. Agricultural training centres available in their region, market prices of the crops, government policies awareness are some other facilities that can be utilized by the farmers. These advantages are most important for a better agricultural community and livelihoods in a country. Here a case study on integrating cloud computing technology with the agricultural domain to help the farmers to increase their profit is discussed. © 2020 IEEE.

World University root node

Department of Information Technology

School of Information Technology and Engineering

Vellore Campus

Department of Digital Communications

International Conference on Emerging Trends in Information Technology and Engineering, ic-ETITE 2020

E-Governance in Agriculture

Ni2+ doped CuO (Cu1-xNixO for 0 ≤ x ≤ 0.3) nanocrystalline powders were synthesized by combustion technique. The doped samples were found single phasic from powder XRD for up to 10 mol%, above which precipitation of NiO phase was observed. Raman study however indicated the presence of Cu2O phase in both undoped and doped samples up to 1 mol% Ni2+ doping. At and above 2 mol% doping, precipitation of the NiO phase was observed. Morphology of powders got modified drastically upon doping. Band gap showed decreasing trend with the increase of doping concentration in CuO, attributed to the formation of intra-band defect states. XPS revealed the presence of adsorbed oxygen or carbonate species on the surface. For the first time, Ni2+ doped CuO is reported as catalyst (active electrode) for ppm level NH3 sensing in amperometric mode with high sensitivity of 135.5 μA/decade at 550 °C using LaGaO3 as solid electrolyte. © 2019 Elsevier Ltd

VIT Unitversity

Physics

School of Advanced Sciences

Chennai Campus

Materials Research Bulletin

Ni doping in CuO: A highly sensitive electrode for sensing ammonia in ppm level using lanthanum gallate based electrolyte

School of Computer Science and Engineering

International Journal of Pharmaceutical Research

Intelligent Cardiovascular disease prediction using Data mining Techniques

Distributed computing is one of the developing innovations in IT part and information security assumes a real part. It includes sending gathering of remote server and programming that permit the unified information and online access to PC administrations. Distributed computing depends on offering of asset among different clients are additionally progressively reallocated on interest. Cloud computing is a revolutionary computing paradigm which enables flexible, on-demand and low-cost usage of computing resources. The reasons for security and protection issues, which rise on the grounds that the health information possessed by distinctive clients are put away in some cloud servers rather than under their own particular control"z. To deal with security problems, various schemes based on the Attribute-Based Encryption have been proposed. In this paper, in order to make ehealth data's more secure we use multi party in cloud computing system. Where the health data is encrypted using attributes and key policy. And the user with a particular attribute and key policy alone will be able to decrypt the health data after it is verified by "key distribution centre" and the "secure data distributor". This technique can be used in medical field for secure storage of patient details and limiting to particular doctor access. To make data's scalable secure we need to encrypt the health data before outsourcing. © Published under licence by IOP Publishing Ltd.

Department of Smart Computing

Department of Software and Systems Engineering

Fulltext

IOP Conference Series: Materials Science and Engineering

Attribute based encryption for secure sharing of E-health data

2017 International Conference on Trends in Electronics and Informatics (ICEI)

Calculating the user-item similarity using Pearson's and cosine correlation

Collection of enormous amount of data from various organizations, companies, hospitals, banks etc. has led us to uncover useful patterns for decision making. However, preserving privacy while performing data mining is the important consideration to be made. To perform data mining and at the same time preserve privacy is the key research challenge. Rather than simply following policies or guidelines, tools and methods are employed for releasing the data while preserving privacy. In this survey, various attack models and their privacy models for data mining are discussed. © IAEME Publication.

International Journal of Mechanical Engineering and Technology

A case study on attack models and privacy models in mining medical datasets

Indian Journal of Science and Technology

Automatic Firewall Rule Generator for Network Intrusion Detection System based on Multiple Minimum Support

This Study Focuses on four major goals. First and foremost identify all the possible Evasion techniques and their possible combinations that can result in AET. Identify methodologies and tools that can generate the AET. Secondly, we provide Snort rules for Snort IDS so that the open source IDS can be enhanced to detect the AET. Thirdly, analyse the existing snort pre-processors and Finite State Machine that must be enhanced to support the complex state maintenance created by the AETs. Finally, the last phase would be the testing and evaluation of the enhanced Snort IDS. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

International Journal of Pharmacy and Technology

A case study on advanced evasion techniques

Bio inspired computing, is a field which provides various principles encountered in nature for solving/tackling complex problems by using the computational model of the principle. Numerous researches have been done in this area. Bio inspired computing is where the studies have been done in biological field to identify new technique which can be effectively applied in many computer science related problems with mathematical computation. Bio inspired computing is closely related to the field of artificial intelligence. There are many algorithms/principles which effectively provide a new optimization technique. Bio inspired computing is an emerging technique in this era. In which more and more algorithms and techniques are yet to be identified to provide optimal solution to the complex problems. Bio inspired algorithms are experimental and this can be applied when the there is a less knowledge about the problem. These algorithms are inspired by processes observed in nature by the living species. This paper will provide a description about the various evolutionary and emergent algorithms their basic flow of algorithm, applications, advantages and disadvantages. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

Evolutionary algorithm – A review

Companies and their way of interaction with customers has been changed a lot over past years. A customers containing business cannot be guaranteed for so long time. So, companies found a key point that need of understanding customers is playing a vital role. So, they are approaching data mining as a platform to achieve the CRM (Customer Relationship Management). Different fields are following different techniques like association rule mining, in-depth mining, frequent pattern mining. By this paper we are going to plant an enhanced version of Apriori algorithm of Association rule mining. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

Prioritizing the customers using data mining techniques for an efficient CRM

Software defined network (SDN) is the revolutionary technology in the Networking atmosphere. It finds its roots in programmable network and control-data-infrastructure plane separation which provides network management as well as network automation. This technology encourages programmability of the network which in turns reduces the cost of operation and increases efficiency. The objective of this paper is to study the various investigations going to understand and evaluate SDN characteristics and benefits. In this paper we will be exploring SDN architecture, SDN related taxonomy and challenges SDN implementation face now and in future. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

Survey of software defined network

Software Defined Network (SDN) is a developing innovation which actualizes the decoupling of the control plane from the system components, for example, switches or switches and keeps just the information plane with them. This separation provides a more efficient method for development of more complex and advanced applications that are not vendor specific. In SDN, the control plane which decides how to forward the packets is separated from the network elements and hence the forwarding decisions are made only at SDN Controller, with exceptions when the Network Administrator leaves some control functions to the forwarding elements. In this paper, effort has been made to mitigate two major layer two attacks which are common. A Port Blocker and VLAN Application is written and tested in a POX controller based environment all simulated in Mininet and tested to determine their efficacy. © 2016, International Journal of Pharmacy and Technology. All rights reserved.

Layer two firewall in software defined network

Communication between heterogeneous networks became unavoidable. Clustering simplifies the communication. Cluster head is the leader of the cluster. If the cluster head fails or becomes unreachable an alternative efficient algorithm is required to recover from the failure. This proposes the algorithm which initiates the alternative cluster head selection in a heterogeneous environment. © Research India Publications.

Global Journal of Pure and Applied Mathematics

Self restorative cluster head selection in heterogeneous network

Nowadays, Cloud computing is booming in most of the IT industry. Most of the organizations are moving to cloud computing due to various reasons. It provide elastic architecture accessible through internet and also it eliminate the setting up of high cost computing infrastructure for the IT based solutions and services. Cloud computing is pay-per-use model, on-demand network access to a shared pool of configurable computing resources like Application-as a service, Platform as a services and infrastructure as a services. In this paper, survey of security issues at different levels such as application level, host level and network level is presented.

International Journal of Engineering and Technology

Levels of security issues in cloud computing

Radio Frequency Identification (RFID) is entirely based on tag identification. Reader identifies a tag by its ID. Collisions occur frequently while reading the passive tags and reader fails to identify the tags sometimes. This will lead to tag-starvation problem. Therefore, an algorithm is developed to address both collisions and tag-starvation problem. This paper uses Query Tree protocol and ALOHA to develop the algorithm. Query Tree protocol is used to address tag-starvation problem and ALOHA to reduce the collisions of passive tags.