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An Invisible Logo Watermarking Using Arnold Transform

Procedia computer Science 2016年 93卷 808-815页

作者： N. Saikrishna M.G. Resmipriya PG Scholar Department of Computer Science & EngineeringAmal Jyothi College of Engineering Kanjirapally Kottayam686518 Assistant Professor Department of Computer Science & EngineeringAmal Jyothi College of Engineering Kanjirapally Kottayam686518

Digital watermarking is the process of hiding information into the digital content. The method of embedding a smaller logo image into the host image is called logo watermarking. The system proposes an invisible and secure watermarking. The key entered initially determine the location of embedding and thus classified the host image to white and black textured regions. The logo image is then transformed using Arnold transform. Discrete Wavelet Transform (DWT) technique is employed for embedding the transformed logo into the white textured regions. Watermark extraction is done by entering the same key which was already entered during embedding. The system is secure and the logo is imperceptible within the host image. Finally for analysis, PSNR value has been used as a metric for determining the quality of the recovered image.

关键词： Arnold Transformation Histogram Oriented Gradients(Hog) Discrete Wavelet Transform (DWT)

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A Survey on Opportunistic Routing Protocols for Wireless Sensor Networks

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Procedia computer Science 2016年 79卷 603-609页

作者： Payal Jadhav Rachna Satao Department Of Computer Engineering Smt.Kashibai Navale College of Engineering Pune411041 India Assistant Professor Department Of Computer Engineering Smt.Kashibai Navale College of EngineeringPune 411041 India

Opportunistic routing is a new paradigm in routing for wireless sensor network which chooses the node closest to the target node for forwarding the data. It uses the broadcasting nature of wireless sensor networks. Opportunistic routing has increased the efficiency, throughput and reliability of sensor networks. Many energy saving techniques has been introduced using opportunistic routing in wireless sensor networks for increasing the network lifetime. In this article we have elaborated the basic concept of Opportunistic routing, different areas in which it has been claimed to be beneficial, some protocols their metrics and their drawbacks.

关键词： Wireless Sensor Networks (WSN) Opportunistic Routing (OR)

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A Peculiar Sentiment Analysis Advancement in Big Data

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Journal of Physics: Conference Series 2017年第1期933卷

作者： Manisha Valera Yash Patel Assistant Professor Department of Computer Engineering Indus University Ahmedabad Gujarat India Student Department of Computer Engineering Indus University Ahmedabad Gujarat India

Every company wants to discover what its customers feel about it. But sentiment analysis can get coarser and turn inward to improve employee as well as customers' satisfaction. A term called sentiment analysis, or the mathematical taxonomy of statements' negative or positive connotations, gives companies potent ways to analyse cumulative language data across all sorts of communications. There's real value in measuring sentiment inside and outside your company. Our big data experts analyse the core grounds of the problems raised while handling giant datasets and find solutions to efficiently manage massive datasets with ease. We built a sentiment analysis solution to measure positive and negative sentiments with top rating products for ***'s Electronics products as against competitor products.

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User-perceptive image search using complex multiple word based query (An efficient image search process using complex multiple word based query)

User-perceptive image search using complex multiple word bas...

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International Conference on (ISCO) Intelligent Systems and Control

作者： Dipak R. Pardhi Lalitkumar B. Borase Assistant Professor and Head of Department of Computer Engineering Godavari College of Engineering Jalgaon MH) Department of Computer Engineering Godavari College of Engineering Jalgaon(MH)

ISBN: (纸本)9781467378086

Increasingly developed world internet and social multimedia services allow users to view, tag, and comments also upload large amount of data to search the content among this metadata through text based searching is widely preferred by users. To increase the search efficiency of the searchers we enhanced the model of ternary relationship among users, images and tags; to jointly model of tensor factorization, to perform the low-rank approximation. In this paper, we propose a model to considering the user interest, user specified query in user specified topic space and rank the result list the effect of effective personalize tag-based search. This model is tested for complex multiple word based query and it's showing suitable results.

关键词： Tensile stress Tagging Predictive models Web search Metadata Semantics Animals

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Software Quality Prediction Model with the Aid of Advanced Neural Network with HCS

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Procedia computer Science 2016年 92卷 418-424页

作者： Kavita Sheoran Pradeep Tomar Rajesh Mishra Reader Department of Computer Science MSIT Delhi Assistant Professor in Department of Computer Science and Engineering School of Information and Communication Technology Gautam Bhudda University Greater Noida Assistant Professor School of ICT Gautam Buddha University Greater Noida Uttar Pardesh

Software quality is regarded as the highly important factors for assessing the global competitive position of any software product. To assure quality, and to assess the reliability of software products, many software quality prediction models have been proposed in the past decades. In this proposed method we have utilized a hybrid method for quality prediction. The prediction is done with the help of the Advanced Neural network which is incorporated with Hybrid Cuckoo search (HCS) optimization algorithm for better prediction accuracy. The application software is first subjected to test case generation and once the test cases are generated they are applied to advanced neural network for the prediction of quality. The neural network is improved by utilizing HCS which optimizes the weight factor for improving the prediction. The quality metrics like maintainability and reliability are estimated for predicting the software quality and the results are compared with other existing techniques to verify the effectiveness of our proposed method.

关键词： Software quality prediction Cuckoo search algorithm Neural Network Optimization Test cases

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Review on Detection and Mitigation of Sybil Attack in the Network

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Procedia computer Science 2016年 78卷 395-401页

作者： Arpita M. Bhise Shailesh D. Kamble PG Student Department of Computer TechnologyYeshwantrao Chavan College of Engineering Nagpur 441110 India Assistant Professor Department of Computer Technology Yeshwantrao Chavan College of Engineering Nagpur 441110 India

Sybil attack is an attack in which the identities of the node are subverted and the large number of pseudonymous identities is produced to gain the access of the network. In this paper, we studied the detection mechanism of Sybil attack in peer-to-peer reputation systems, self-organizing networks and even social network systems. Also, various methods to mitigate the Sybil attack are analyzed. The studied mechanisms are evaluated in terms of detection rate, false positive rate, false negative rate and non-trustworthy rate. A research component in detection and mitigation of Sybil attack is, how to improve the detection rate and to minimize the false positive and false negative rate.

关键词： Sybil attacks reputation system pseudonymous identities peer-to-peer networks

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Middle East and North African Health Informatics Association (MENAHIA): Building Sustainable Collaboration

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Yearbook of Medical Informatics 2018年第1期27卷 286-291页

作者： Najeeb Al-Shorbaji Mowafa Househ Adel Taweel Abdullah Alanizi Bennani Othmani Mohammed Haitham Abaza Hala Bawadi Hamayon Rasuly Khalid Alyafei Luis Fernandez-Luque Mohamed Shouman Osama El-Hassan Rada Hussein Riyad Alshammari Salah Mandil Sarah Shouman Shahrad Taheri Tamer Emara Wasmiya Dalhem Zaid Al-Hamdan Zineb Serhier eHealth and Knowledge Management Consultant Retired Director of Knowledge Ethics and Research Department WHO/HQ Amman Jordan Department of Health Informatics College of Public Health and Health Informatics King Saud Bin Abdulaziz University for Health Sciences Ministry of National Guard-Health Affairs Riyadh Saudi Arabia Department of Computer Science BirZeit University Ramallah Palestine Head of Medical Informatics Unit 20 August Hospital Ibn Rochd University Hospital Casablanca Head of Casablanca Medical Informatics Laboratory Medical Faculty of Casablanca Morocco Department of Biomedical Engineering Misr University for Science & Technology Cairo Egypt Associate Professor College of Nursing University of Jordan Amman Jordan eHealth Program Coordinator Bamyan Provincial Hospital Bamyan City Afghanistan Chief Medical Informatics Officer (CMIO) - SIDRA Assistant Professor Clinical Pediatrics at Weill Cornell Medicine Qatar Qatar Computing Research Institute Hamad Bin Khalifa University Doha Qatar Faculty of Medicine Ain Shams University Cairo Egypt Vice-Chair of Emirates Health Informatics Society Head of eHealth Section at Dubai Health Authority Dubai United Arab Emirates Founder and Former Director of the Biomedical Informatics Center of Excellence (BMICoE) Information Technology Institute (ITI) Ministry of Communications and Information Technology (MCIT) Egypt President of Saudi Association for Health Informatics Riyadh Saudi Arabia Senior Consultant on eStrategies and eHealth to WHO and ITU Geneva Switzerland Department of Medicine Weill Cornell Medical College in Qatar Qatar Foundation Doha Qatar Executive Director of Nursing Informatics Hamad Medical Corporation Qatar Associate Professor of Nursing Management Faculty of Nursing Jordan University of Science and Technology Irbid Jordan Professor at Medical Informatics Laboratory Faculty of Medicine and Pharmacy Hassan II University Casablanca Morocco

There has been a growing interest in Health Informatics applications, research, and education within the Middle East and North African Region over the past twenty years. People of this region share similar cultural and religious values, primarily speak the Arabic language, and have similar health care related issues, which are in dire need of being addressed. Health Informatics efforts, organizations, and initiatives within the region have been largely under-represented within, but not ignored by, the International Medical Informatics Association (IMIA). Attempts to create bonds and collaboration between the different organizations of the region have remained scattered, and often, resulted in failure despite the fact that the need for a united health informatics collaborative within the region has never been more crucial than today. During the 2017 MEDINFO, held in Hangzhou, China, a new organization, the Middle East and North African Health Informatics Association (MENAHIA) was conceived as a regional non-governmental organization to promote and facilitate health informatics uptake within the region endorsing health informatics research and educational initiatives of the 22 countries represented within the region. This paper provides an overview of the collaboration and efforts to date in forming MENAHIA and displays the variety of initiatives that are already occurring within the MENAHIA region, which MENAHIA will help, endorse, support, share, and improve within the international forum of health informatics.

关键词： eHealth Middle East and North Africa Health Informatics collaboration MENAHIA Universal Health Coverage Bioinformatics International Medical Informatics Association

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Hidden Biometric Security Implementation through Human Brain's Artificial Macro Structure

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Procedia computer Science 2016年 78卷 625-631页

作者： Saurabh Maheshwari Priyanka Choudhary Assistant Professor Department of Computer Sciecne & Engineering Govt. Women Engineering College Ajmer Rajasthan India Mtech Scholar Department of Computer Sciecne & Engineering Govt. Women Engineering College Ajmer Rajasthan India

Biometrics are means for security but on the other side they are prone to forgery. For this hidden biometrics like veins, retina, etc. came into the picture. We have chosen hidden biometrics because of their characteristic of not being visible to outside world without scanning devices. Humans are unique because of the brain, so we argue to use the brain as most obvious yet sophisticated biometric trait. Brain Biometrics is the field recently introduced but a lot of work has been done to use brain's electrical activity as biometric for various human thoughts and deeds. This is the first formal work in our knowledge where the features of brain which were earlier used only for medical diagnosis such as brain structure, surface area, gyrification index, brain grey & white matter volume, have been utilized to as parameters for brain biometrics. Apart from using brain structure as biometric feature we have also kept it secure as we are not using and storing actual brain structure. We have transformed it into an artificial brain macro structure which is an artificial model of brain having unique structural features of brain. Other parameters are stored in the form of mathematical figures only thus chances of biometric theft and forgery are very less. The results are fascinating as we are able to match all available brain MRI images which could be segmented properly, with correct subjects during verification.

关键词： brain biometric hidden biometric fuzzy vault biometric security gyrification index brain structure

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Applying Separation of Concern for Developing Softwares Using Aspect Oriented Programming Concepts

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Procedia computer Science 2016年 85卷 906-914页

作者： Anil Kumar Arvind Kumar M. Iyyappan Department of Computer Science & Engineering Ph. D. Scholar SRM University Sonepat-131029 India Department of Computer Science & Engineering Assistant Professor SRM University Sonepat-131029 India

Aspects provide a means of separating cross-cutting concerns from our core implementation code into separate modules. Cross-cutting concerns are pieces of functionality that are used across multiple parts of a system. They cut across, as opposed to standing alone. For example if every method of our program requires logging information for identification then a logging aspect can be applied to methods external to the method implementation without using logging information with the methods internally. It's a powerful technique to help employ the principle of separation of concerns within code. Aspect Oriented Programming (AOP) is a methodology that provides separation of crosscutting concerns by introducing a new unit of modularization—an aspect . Each aspect focuses on a specific crosscutting functionality.

关键词： Aspects Crosscutting Concern AOP AspectJ

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Secret Sharing Based Visual Cryptography Scheme Using CMY Color Space

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Procedia computer Science 2016年 78卷 563-570页

作者： Ankush V. Dahat Pallavi V. Chavan M-Tech Student (Computer Science & Engineering) Department of Computer Engineering BDCOE Sewagram-442102 WARDHA(M.S.) India Assistant Professor Department of Computer Engineering BDCOE Sewagram-442102 WARDHA(M.S.) India

In the era of internet, internet is widely used by the individual for the communication and the information give and take process. Protecting our data from the unconstitutional processes and keeping the secret information secure and in safe hands, every individual utilizes the cryptography such as symmetric or asymmetric. But, these cryptographic processes needs much more cost for the execution. For that reason, lots of secret sharing schemes were proposed. Secret image distribution is the fine talent and skill concern with the protection of important color images by dividing the secret in multiple copies. The basic fundamental behind the scheme is to change the color image into some multiple unreadable format type shares so that they can not reveal the information inside the image until it is again combines with some mathematical computation. A Secret Sharing Scheme can be estimated by it's the four conditions which are Security, Reconstruction Precision, Computation Complexity, Storage Requirement. In Most of the previous scheme there were issues related with security of image for the reconstruction means user can reveal secret from the hidden image, reconstructed of image quality i.e. contrast or accuracy; it means the reconstructed images were distress from the loss of info related to images and resultant image is different from the original image. Images also suffered from pixel expansion issues for which data loss was occurring. In the present work CMY color model will be implemented with ((n-1), n) secret sharing scheme based on visual cryptography for the color image and compared and proved to be better that the RGB color model which is free from the issue of security, pixel expansion and accuracy issue as well. As the printer use the Cyan, Magenta, Yellow and Black color for printing that's why CMY color model is implemented in this work to prove that CMY color space is better than RGB color space.

关键词： Secret Sharing Schem Visual Cryptography Visual Cryptography Scheme VSS CMY RGB

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