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

The web of things, which is widely called the Internet of Things (IoT), aids as a part of our day-to-day life activities in today’s world. It has great potential to change the modern world. Although it benefits us in several ways, IoT possesses several issues, such as privacy, data confidentiality, and effective storage. The IoT community is extremely concerned about the quantum of information that may be leaked out. Hence, a secured atmosphere is mandatory for IoT devices to transmit data over public networks. In this article, a secure and optimized real-time system is proposed as an alternative methodology for data transmission from healthcare sensors to the cloud, either through local area or wide area networks. An effective optimization technique is also implemented to provide better storage. © 2019 ASTM International. All rights reserved.

World University root node

Department of Software and Systems Engineering

School of Information Technology and Engineering

Vellore Campus

Journal of Testing and Evaluation

Secure and optimized real-time system for internet of medical things using matuino and thingspeak analytics

The traditional image processing system which is based on a centralized computing model has a disadvantage of limiting resources. This can cause troubles in the smooth execution of system in mobile devices. We propose a new system which unlike traditional system uses a distributed model. It can be achieved by adopting web service based image processing system. Our system has the advantages of being component oriented and has low coupling and high encapsulation. Thus our system can solve the main problem of traditional image processing system and avoid the resource bottleneck situation.

Department of Computer Applications

VIT Unitversity

Fulltext

IOP Conference Series: Materials Science and Engineering

An efficient image processing method based on web services for mobile devices

Hybrid routing algorithms are those algorithms which uses the concept of both proactive routing algorithms and reactive routing algorithms. Proactive routing algorithms are table driven. By the term table driven,we mean that every routing information about the nodes,in the network keeps on updating and is reflected in the table. Thus the modification in the table helps to have the current routes of every node to other nodes. Reactive algorithms are those algorithms in which the nodes keep the information about the active paths of the destination nodes. If any source wants to send a packet to the destination node then this algorithm will try to find out the best possible route and settle the request [6]. In this paper we propose an CFH (collision free and hybrid) routing algorithm that aims to route any data packet with no collision which will reduce the end to end delay and increase the throughput. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

International Journal of Pharmacy and Technology

A new approach for collision free,energy efficient,hybrid routing algorithm with the use of progressiveadaptive concept

The quantity of data being generated is huge with rapid increase in technology and electronic communication,which results in difficulty in management of big data cost effectively. Cloud computing along with big data provides reduction in cost and storage. But there is concern regarding privacy of data stored in public cloud as the data stored in cloud could be sensitive and the owner would not want any other to scan the data as the volume of data is huge due to increase in usage of mobile devices,the conventional cryptographic approach is not suitable. Hence in this paper we propose a methodology focusing on image data which has huge volume rather than text data. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Approach on big data using hybrid cloud

Now days the environment produces large amount of data which is needed to be analysed,stored and secured in an efficient way. If we use BIG DATA efficiently,it can solve tremendous amount of problems. For analysis of big data the concept of Data Miningalong with the concept of machine learning is used. In this paper we are going to discuss on how to use parallel k-means algorithm and the adaptive k-means algorithm which reduces the iterations to cluster in big data,but time complexity of classic k-means algorithm is always high in large data sets. We have implemented an algorithm which is the fusion of parallel k-means algorithm with reducing the number of iterations. For our implementation we took prone accidental zones data set because life is more important than everything.We will also discuss about the applications of this algorithm that are used in real time environment. Last but not least this thesis will also discuss the various issues and future challenges in BIG DATA environment. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Effective clustering inbig data for efficient knowledge discovery using parallel K-means and enhanced K-means algorithm

Today with the huge improvement of different advancements like mixed media,research on security is turning out to be more imperative. In giving security Cryptography puts an exceptionally pivotal part. Despite the fact that there are numerous cryptographic calculations to give security,they are not up to the attractive level of the clients. So there was a requirement for exploration on creating new calculations or changing existing calculations. In this paper we are going to explain about the traditional image cryptography technique commonly known as Visual Cryptography Scheme and then comparatively we have proposed an improved AES calculation for picture encryption which can be utilized to encode utilizing AES-128 bits key. The proposed changes in this paper are: repositioning the picture pixels to break the relationship between’s them,randomization of key and concealing the key quality into the scrambled computerized picture and to apply a cover image. So the proposed system gives more security. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Cipher and decipher of image

Image segmentation is the fundamental step for analysing the images and extracting data from them. It is already a widely researched field but it still provides the various challenges to the researches. This paper concentrates on basic methods which is used for image segmentation and classification. Image segmentation can be categorized as semiinteractive approach and fully automatic approach and the algorithms are developed either of these approaches. Image segmentation is like a step and it helps to influences the overall success to understand the image. This is the interesting application for testing the robustness of our approaches due to the complexity of the images and consequently we believe the algorithms will be suitable for many other real world applications. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Image segmentation and classification

Architecture modeling of parallel database framework comprising of unusual hardware has been replaced by a paralleldataflow structure which is in view of normal imparted nothing equipment. This basic building offers quick and scale up in information transforming. In this paper we will examine a strategy utilized by such framework and exploration based framework. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Architecture of parallel database to make future database processing high

Management of database includes software data management developing tools such as oldsql and now trending nosql and next generation data language newsql. As the database had been revolutionised from 40 years starting from oldSql to nosql and now to the upcoming newsql,oldsql includes features like relational model to handle data entry app and dimensional model to access data warehouse apps but it does not have features like object model,document model and graph model which is advantage of nosql whose examples are db2,hadoop,mongodb etc. The sql only use to deal with transaction problem,and cannot deal for big velocity applications does not have capacity of storing bulk data and update today’s requirement of data,sql is accepted as the only standard rdbms language. We are in the middle of a database revolution that is “nosql” notable as “nosequel”. It is open source distributed in nature as well as it is having high performance in a linear way that is horizontally scalable,fast,information retrieval database and is portable. But it can’t solve large transaction problem. So to overcome the problem of both oldsql and nosql new sql is coming up with solution combination of both. We also investigate that which database is suitable for what job??,choosing the right sql database is important according to users need to notice that the architecture of real world systems is not only driven by performance requirements,but has to completly include many other standard trademark requirements for selecting proper database. Such as national intelligence,cyber security,education system,marketing,business and medical informatics. Companies such as Google,Amazonetc are analyzing large volumes of data for business analysis and decisions,impacting existing and future technology all of them have different requirements,so through this paper we would conclude which query language would be better for individual need. © 2016,International Journal of Pharmacy and Technology. All rights reserved.

Convergence from SQL,NoSQL to NewSQL

Digital Watermarking is the process of the embedding a signature into a digital data to verify the true identity of the owner. In this paper, we propose a robust watermarking technique based on Discrete Cosine Transform (DCT) and Arnold transform. The technique embeds the watermark into the original image without making any noticeable in it. The pixels of the logo are initially scrambled using Arnold transform to improve the robustness of the technique. 8x8 blocks of the original image is considered to embed each pixel value of the watermark logo. The proposed algorithm is tested by embedding 64x64 watermark logo into 512x512 images using MATLAB software. The results show that the technique is robust against most of the attacks and it does not make any noticeable distortion in the original image. © Research India Publications.

International Journal of Applied Engineering Research

A robust watermarking technique based on DCT and image normalization

The Address Resolution Protocol (ARP) is a stateless protocol and it has less authentication mechanism for verifying the sender identity, because of these, ARP has always been prone to some kind of security attack like spoofing attacks. Some LAN attacks like DDoS, session hijacking, Man-in-the-middle sometimes starts with ARP spoofing. Currently, passive approach is being used to detect the ARP spoofing which is based on ARP traffic monitoring and finding out the Ethernet-IP address mapping inconsistencies. But passive approach has the more time lag between learning and its detection which is its main drawback. Because of this drawback sometimes spoofing attack is found long after it happens. In this paper, an active and effective technique will be presented for ARP spoofing detection. SCTP INIT and ARP request packets will be injected to locate for inconsistencies. This technique is faster than any other and more effective, reliable than the current passive methods in the detection of attacks. This intelligent technique additionally able to detect the MAC to IP addresses mapping at a reliable and better level of accuracy while on attack. © Research India Publications.

An intelligent technique to detect ARP spoofing in local area network

In this paper, robust watermarking scheme has been proposed using FastHadamard transformation and singular value decomposition technique. This technique has an ability to embed or hide an entire image or pattern as a watermark directly into the original frames of the digital video sequence. As the quality of the digital media is to be preserved, the entire video sequence is not altered for embedding. Onlyfew frames are altered which is selected by pseudo random number generator. In order to reduce the computational complexity of the proposed algorithm,Fast Hadamard transformation is used. Theproposed algorithm is tested with rugby video sequence containing 209 frames and watermark of size 64x64 using MATLAB software. The experimental results show that our scheme is robust to most of the attacks and prevents the copy right of the digital media from the hackers. © Research India Publications.

Optimal watermarking technique using fast hadamard transformation and singular value decomposition

The paper proposes an new algorithm for automatic generation of cricket highlights from the recorded video sequence.The recorded cricket video is mainly divided into frames, then key frames are extracted from each shot using a traditional knowledge based approach. Then the features are extracted from the key frame using a similarity check sequence. Using the proposed algorithm, successfull extraction of highlights like four, six, and wicket from recorded video of a cricket match have been done and the results are validated for its completness. The algorithm works onAVI (Audio Video Interleave) format of video and have also been tried on other video formats like MPEG (Moive Picture Experts Group),WMV(Windows Media Video File). It has also been identified through this work that the compression rate of the video also plays a crucial role in the extraction of key frames and further processing for highlights generation. It is experimentally found that compression rate is inversely proportional to the extraction rate of the event-related frames. The final verification of the highlights is done using video processing toolbox ofMATLAB 7. © Research India Publications.