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

IoT is a revolutionary technology that represents the future of computing and communications. Most of the people over all worlds depend on agriculture. Because of this reason smart IT technologies are needed to migrate with traditional agriculture methods. Using modern technologies can control the cost, maintenance and monitoring performance. Satellite and aerial imagery play a vital role in modern agriculture. Precision agriculture sensor monitoring network is used greatly to measure agri-related information like temperature, humidity, soil PH, soil nutrition levels, water level etc. so, with IoT farmers can remotely monitor their crop and equipment by phones and computers. In this paper, we surveyed some typical applications of Agriculture IoT Sensor Monitoring Network technologies using Cloud computing as the backbone. This survey is used to understand the different technologies and to build sustainable smart agriculture. Simple IoT agriculture model is addressed with a wireless network. © 2017 IEEE.

VIT Unitversity

School of Computer Science and Engineering

Chennai Campus

2017 International conference on Microelectronic Devices, Circuits and Systems (ICMDCS)

A Survey: Smart agriculture IoT with cloud computing

Internet of Things (IoT) is network transfer data without human to human and human to machine communication. This project based on IoT (Internet of Things) for Home Automation. Home Automation is a collection of sensor Controller by microcontroller. Using Microcontroller, we can send data into the cloud server then we can share information on Cloud server and mobile app. we use cloud server as Ubidots. The monitoring value from the home sensor like Gas, Flame, Sound and Temperature to the cloud server (ubidots) and app. Main motivation of this project is to alert message and mail to Smartphone on any abnormal condition. This project is designed to reduce data transmit, reduce time, cost effective and easy to use.

2016 International Conference on Inventive Computation Technologies (ICICT)

A 24 hour IoT framework for monitoring and managing home automation

The image fusion steganographic system embeds encrypted messages in decomposed multimedia carriers using a pseudorandom generator but it fails to evaluate the contents of the cover image. This results in the secret data being embedded in smooth regions, which leads to visible distortion that affects the imperceptibility and confidentiality. To solve this issue, as well as to improve the quality and robustness of the system, the Randomized Symmetric Crypto Spatial Fusion Steganography System is proposed in this study. It comprises three-subsystem bitwise encryption, spatial fusion, and bitwise embedding. First, bitwise encryption encrypts the message using bitwise operation to improve the confidentiality. Then, spatial fusion decomposes and evaluates the region of embedding on the basis of sharp intensity and capacity. This restricts the visibility of distortion and provides a high embedding capacity. Finally, the bitwise embedding system embeds the encrypted message through differencing the pixels in the region by 1, checking even or odd options and not equal to zero constraints. This reduces the modification rate to avoid distortion. The proposed heuristic algorithm is implemented in the blue channel, to which the human visual system is less sensitive. It was tested using standard IST natural images with steganalysis algorithms and resulted in better quality, imperceptibility, embedding capacity and invulnerability to various attacks compared to other steganographic systems. © 2016 Published by ITB Journal Publisher.

Fulltext

Journal of ICT Research and Applications

Randomized Symmetric Crypto Spatial Fusion Steganographic System

Authorising data to administrative control through third-party, is employed in the cloud, gives growth to security concerns. The data mollification may occur due to attacks by other users and nodes within the cloud. Therefore, high safety measures are essential to protect data within the cloud. In this paper, we present a new security primitive based on hard AI problems explicitly novel relations of a graphical secret key system built on top of Captcha technology, which we call Captcha as graphical passwords (Carp). CaRP also narrative an approach to address the familiar image hotspot problem in popular graphical password systems, such as PassPoints, that often leads to weak password choices. The DROP methodology fragments the file and replicates the fragmented data over the cloud nodes. Each of the nodes stores only a single fragment of a particular data that pledges that even if there should be an attack no substantial data is uncovered to the attacker. Furthermore, the nodes storing the fragments are divided with certain expanse by means of graph T-colouring to prohibit an attacker of predicting the locations of the fragments. So, this paper extends DROP methodology with AES algorithm to protect the outsourced data in the cloud and integrate them with CaRP to improve the online security by 14.4%. © 2016 Inderscience Enterprises Ltd.

International Journal of Internet Protocol Technology

The improved DROP security based on hard AI problem in cloud

The requirement in addition to consequences in refining efficiency of energy in cloud applications have enlarged owing to speedy evolution and explosion of data center amenities everywhere in the globe. Virtual machines (VMs) embrace pillar of utmost and are frequently associated on the Physical Machine (PM) towards proficiently employ its assets. Various workload scheduling algorithms are proposed to utilize the resources, however they failed to consider the machine heterogeneity resulting in more energy consumption. To overcome these issues, we introduced Job Consolidation Algorithm (JCA) that efficiently utilize the resource in the cloud considering machine heterogeneity, and we implemented DVFS technique which remains efficiently to produce liable replacement among jobs guaranteeing reduction in energy consumption.

Towards energy-aware job consolidation scheduling in cloud

Due to complex nature of blood smear images and imitation of similar signs of other disorders makes difficult to detect leukemia. It also needs more time to diagnose and sometimes susceptible to errors. In order to solve this issues fuzzy C means cluster optimization of leukemia detection based on morphological contour segmentation is proposed in this paper. This paper introduces the new approach for leukemia detection which consist of (1) contrast enhancement to highlights the nuclei, (2) morphological contour segmentation, and (3) Fuzzy C means detection of leukemia. The contract enhancement is done by simple addition and subtraction operation to separate the nuclei. The morphological contour segmentation detects the edges of nuclei and eliminate the normal white blood cells from the microscopic blood image. Then the texture, geometry, color and statistical features of nuclei is evaluated to determines the various factors of leukemia. Finally it is trained by Fuzzy C mean clustering of single row feature vector of each cell is used to classify leukemia from white blood cells. This makes the proposed algorithm better results in accuracy and time consumption when compare to normal hematologist's visual classification. © 2015 The Authors.

Procedia Computer Science

Fuzzy C Means Detection of Leukemia Based on Morphological Contour Segmentation

Cloud computing grow into more emerging technology, energy consumption in cloud needs to be paid more attention. In the data center virtualization technology is used to reduce the energy consumption of cloud. Virtual machine (VM) relocation and merging has been used as a vital backbone for cloud data center. Consequently, we requisite Green Cloud resolutions that able to not only decrease operating costs and moreover to decrease the environmental impact caused through data center. Various queuing algorithms are proposed to utilize the resources and assigning task in an efficient manner. We introduce a new energy consumption model and new scheduling strategy for Cloud environments. Our proposed model incorporates the module called as certainty and uncertainty scheduling which pledges involuntary relocation of VM to realm the green computing environment. © 2015 IEEE.

2015 International Conference on Computing and Network Communications (CoCoNet)

A green energy optimized scheduling algorithm for cloud data centers

Cloud computing is an evolving standard that delivers computing and storage possessions as a service over internet. One of the major key concerns in cloud computing is the high energy consumptionthe energy ingesting in datacenter of a cloud is on the increase, though the possessions are extremely underutilized, this offers a blockage that limits the development of cloud computing.Power administration strategies which goals to decrease total energy used up in data centers pose encounters in together tools and resource administration strategies the exact alteration of the estimators’ alignment restrictions has showed to substantial accuracy developments. Energy effectiveness and bandwidth ingesting of the system is in adding to enhanced quality of service QoS achieved as an outcome of the condensed intervals. In this paper we investigate about the problems that cause the high energy consumption and the techniques used in existing approaches to overcome high energy consumptions and to improve QoS. © Research India Publications.

World University root node

Vellore Campus

International Journal of Applied Engineering Research

Study and analysis of energy issues in cloud computing

Teleradiology allows transmission of medical images for clinical data interpretation to provide improved e-health care access, delivery, and standards. The remote transmission raises various ethical and legal issues like image retention, fraud, privacy, malpractice liability, etc. A joint FED watermarking system means a joint fingerprint/encryption/dual watermarking system is proposed for addressing these issues. The system combines a region based substitution dual watermarking algorithm using spatial fusion, stream cipher algorithm using symmetric key, and fingerprint verification algorithm using invariants. This paper aims to give access to the outcomes of medical images with confidentiality, availability, integrity, and its origin. The watermarking, encryption, and fingerprint enrollment are conducted jointly in protection stage such that the extraction, decryption, and verification can be applied independently. The dual watermarking system, introducing two different embedding schemes, one used for patient data and other for fingerprint features, reduces the difficulty in maintenance of multiple documents like authentication data, personnel and diagnosis data, and medical images. The spatial fusion algorithm, which determines the region of embedding using threshold from the image to embed the encrypted patient data, follows the exact rules of fusion resulting in better quality than other fusion techniques. The four step stream cipher algorithm using symmetric key for encrypting the patient data with fingerprint verification system using algebraic invariants improves the robustness of the medical information. The experiment result of proposed scheme is evaluated for security and quality analysis in DICOM medical images resulted well in terms of attacks, quality index, and imperceptibility. © 2013 IEEE.

IEEE Journal of Biomedical and Health Informatics

A Joint FED Watermarking System Using Spatial Fusion for Verifying the Security Issues of Teleradiology

The watermarking based on wavelet fusion gains sharp edge and discontinuity in watermarked image due to embedding in smooth region. To solve this problem spatial fusion watermarking method is proposed in this paper. The image is decomposed into four levels by predicting the range of intensity. To improve the capacity of embedding, higher counted region is chosen for embedding which indirectly chooses sharp region. The Text or ROI data is watermarked in the chosen region by differentiating the pixel with one by the constraint of even or odd between the cover image and text or ROI. The decomposed images are composed by averaging the pixels of the regions greater than one. After extraction, the watermarked medical image is reconstructed to original medical image by reversible property. This system is evaluated with various metrics using standard medical images which show good quality and high imperceptibility with embedding capacity. © 2013 Springer.

Lecture Notes in Electrical Engineering Proceedings of the Fourth International Conference on Signal and Image Processing 2012 (ICSIP 2012)

Medical Image Spatial Fusion Watermarking System

In todays world large amount of medical information of patients are uploaded through internet, which needs more amount of time and the information may be easily pirated and grabbed by the hackers. One of the solutions to solve this problem is using watermarking and cryptography in a single system, which is proposed in this article. In this technique, first, the document of the patient is encrypted and then the cipher is embedded in the medical image using bit wise operation for authentication. Due to embedding, some of the details of the medical image may be corrupted, which can be recovered by using reversible property. The proposed algorithm provides high payload capacity, less computational complexity, security, validation, reversible quality and privacy of the patient. © Springer-Verlag 2011.

Communications in Computer and Information Science Computer Networks and Intelligent Computing

Fusion of Cryptographic Watermarking Medical Image System with Reversible Property

Fingerprint image being a non-stationary image, the normal filtering approach and transformation like FFT will not provide efficient enhancement. This problem is studied using our new algorithm based on Morlet wavelet. This algorithm consists of two stages. In the first stage, wavelet analysis is used, which estimates contextual information like frequency and orientation of the image. The second stage uses Gabor filtering for smoothening and removing the noise. Good ridge continuity is obtained with compression and Gabor filtering removes the spurious minutiae. The experimental results obtained by this new algorithm provided accurate recognition and less storage compared with the existing approaches. Copyright © 2010 Inderscience Enterprises Ltd.

International Journal of Signal and Imaging Systems Engineering

Fingerprint enhancement and compression method using Morlet wavelet

The authentication based on biometric is more reliable and secure because of using the unique physical feature of human. Initially, mono biometric system was used for authentication but it has some error rate and hence multimodal biometric system was introduced to reduce the error. The constraint of using these systems is to maintain more information. Without reducing the error rate and maintain the above constraint a new algorithm has been developed which is based on the invariant moment information of fingerprint and face which is fused using variation. In this algorithm the fingerprint and face is segmented and the invariant moment information is extracted. The invariants are fused into a single identification value by using coefficient variance. This single value is authenticated by calculating the difference, evaluated using the threshold value which is set as 90% for fingerprint and 70% for face, provides low error rate of FAR and FRR. The algorithm is tested under cooperative and non cooperative condition and obtained less complexity, storage, execution time, high reliability and secure authentication system. © 2010 Springer-Verlag Berlin Heidelberg.

Communications in Computer and Information Science

Multimodal biometric invariant moment fusion authentication system

Nowadays, the transmission of digitized medical information has become very convenient due to the generality of Internet. Internet has created the biggest benefit to achieve the transmission of patient information efficiently. However, it is easier that the hackers can grab or duplicate the digitized information on the Internet. This will cause the following problems of medical security and copyright protection. In order to fulfil the security and convenience issues of the patients following goals like the prevention of medical fault, the real-time detection of abnormal event, the support of clinical decision and developing of medical service based on patient has to be achieved. For this purpose this paper proposes the technique called binary embedding technique. It uses the binary information of the text embedded with semi reversible properties in the image are called binary embedding. This technique prevents the distortion of embedded information in the original image due to addition of noise. The concept of semi reversible property is used retains the original information, image quality before and after the process of watermarking is presented as a statistical analysis. © 2009 IEEE.