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Govind Ballabh Pant University of Agriculture and Technology, Pantnagar

After independence, development of the rural sector was considered the primary concern of the Government of India. In 1949, with the appointment of the Radhakrishnan University Education Commission, imparting of agricultural education through the setting up of rural universities became the focal point. Later, in 1954 an Indo-American team led by Dr. K.R. Damle, the Vice-President of ICAR, was constituted that arrived at the idea of establishing a Rural University on the land-grant pattern of USA. As a consequence a contract between the Government of India, the Technical Cooperation Mission and some land-grant universities of USA, was signed to promote agricultural education in the country. The US universities included the universities of Tennessee, the Ohio State University, the Kansas State University, The University of Illinois, the Pennsylvania State University and the University of Missouri. The task of assisting Uttar Pradesh in establishing an agricultural university was assigned to the University of Illinois which signed a contract in 1959 to establish an agricultural University in the State. Dean, H.W. Hannah, of the University of Illinois prepared a blueprint for a Rural University to be set up at the Tarai State Farm in the district Nainital, UP. In the initial stage the University of Illinois also offered the services of its scientists and teachers. Thus, in 1960, the first agricultural university of India, UP Agricultural University, came into being by an Act of legislation, UP Act XI-V of 1958. The Act was later amended under UP Universities Re-enactment and Amendment Act 1972 and the University was rechristened as Govind Ballabh Pant University of Agriculture and Technology keeping in view the contributions of Pt. Govind Ballabh Pant, the then Chief Minister of UP. The University was dedicated to the Nation by the first Prime Minister of India Pt Jawaharlal Nehru on 17 November 1960. The G.B. Pant University is a symbol of successful partnership between India and the United States. The establishment of this university brought about a revolution in agricultural education, research and extension. It paved the way for setting up of 31 other agricultural universities in the country.

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  • ThesisItemOpen Access
    Audio steganography using parity encoding
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-08) Thapliyal, Ayushi; Singh, Rajeev
  • ThesisItemOpen Access
    Analysis of client honeypot data and application of rules for the detection of BOT sources
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-08) Rautela, Manmohan Singh; Samantaray, S.D.
  • ThesisItemOpen Access
    Hybrid analysis approach for classification of malware collected by nepenthes and Dionaea Honeypot
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-08) Mehta, Shivam; Samantaray, S.D.
    Large scale networks face daily thousands of network attacks. No matter the strength of the existing security defending mechanisms, these networks remain vulnerable, as new tools and techniques are being constantly developed by hackers. A new promising technology that lures the attackers in order to monitor their malicious activities and divulge their intentions is emerging with Virtual Honeypots. In the present study, a hybrid analysis approach has been presented that used to classify the malware collected by nepenthes and dionaea honeypots deployed in our university. The malicious data captured has been thoroughly analyzed with in an isolated environment that has been setup for the hybrid analysis of each malicious executable files. The data extracted from the hybrid analysis process, provides information about the behaviour and different activities carried out by the malware on its being active. Based on these activities and behavioural patterns of malicious executables the malware was classified using the k-nearest neighbour classification algorithm. This helps in identifying the malwares, providng advisories to safeguard from malware attacks and also in predicting the new malwares. The dataset used is the binary files captured by the honeypots which is of 242MB size captured during the period of three months. The results have been classified in 11 classes of malware. In this study seven malware have been illustrated highlighting the result outcomes of hybrid analysis consisting of static and dynamic analysis along with salient observations in each case and finally summarizing the overall findings.
  • ThesisItemOpen Access
    Colorization of grayscale image using quaternion algebra
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-08) Bhandari, S.S.; Negi, Chetan Singh
    Colorization of grayscale images is a long standing and ill-posed problem. There are many possible applications for colorization. The most obvious application is the colorization of monochrome images from archives. Studies have also gone into using colorization to highlight biomedical images in order to allow potential areas of interest to be easily visible. This seems to be a really good use of the technique in the medical industry and shows that there are many potential uses for colorization in other fields. Colorization can also be used to highlight potentially dangerous substances shown in grayscale x-rays at airport security. In this thesis work we discuss different methods of colorization, explore quaternion algebra and its application in image processing. The main aim of our proposed work is to investigate the various application of quaternion algebra in image processing and color grayscale images using quaternion algebra. Our proposed method is based on approach using seed color to initiate colorization process. We present a colorization method which uses operation of quaternion algebra to produce color image for a given input grayscale image. It is important to remember that the results of colorization are purely perceptual, even if the colors are wrong they may still be acceptable.
  • ThesisItemOpen Access
    Human intervened captcha
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-08) Giri, Pradeep; Singh, Rajeev
    CAPTCHA is an abbreviation for Completely Automated Public Turing-Test to tell Computers and Humans Apart. The basic aim of a CAPTCHA system is to prevent Web services from being exploited by hackers. CAPTCHA helps in preventing bots from doing unlawful activities on web pages. The thesis work includes two types of CAPTCHA i.e. Automated CAPTCHA and Human Intervened CAPTCHA (HI-CAPTCHA). The automated CAPTCHA is used for learning the behaviour of bots and for their identification. In this research work a modified CAPTCHA i.e. HI-CAPTCHA is proposed, which is used for the identification of bot as well as for the identification of the genuine user. All the users inside the classroom are genuine users as they are authorized to use the system. The proposed system is targeted towards enhancing security in mobile based classroom system like attendance system, examination system etc. In this system questions are generated by the admin and the answer of the question varies as per the admin’s state and other things that can be identified by the person inside room. Hence bots and invalid users (users outside the class) are not able to detect the answer and system remains secure.
  • ThesisItemOpen Access
    A decision tree approach using thresholding and reflectance ratio for identification of yellow rust
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-08) Agarwal, Chanchal; Samantaray, S.D.
  • ThesisItemOpen Access
    A decision tree based approach for identification of powdery mildew using thresholding and image rationing
    (G.B. Pant University of Agriculture and Technology, Pantnagar - 263145 (Uttarakhand), 2016-08) Subhashini, Ayushi; Samantaray, S.D.