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Multi Path Routing Technique Based RRP for P2P Network

IOP Conference Series: Materials science and engineering 2020年第1期994卷

作者： Mary Subaja Christo R. M. Bommi K. Mariyappan Associate Professor Department of Information Science and Engineering Faculty of Engineering Technology Jain University Bangalore India Associate Professor Mechatronics Engineering Department Chennai Institute of Technology Kundratur India Assistant Professor Department of Computer Science and Engineering Jain University Bangalore India

All articles must contain an abstract. Peer to Peer (P2P) network is useful for developing applications and downloading files from the internet. In the existing P2P networks, communication is initiated and supported by peers. Security issues constitute the main challenge in the design of reliable communication techniques for P2P networks. In the past, Rumor Riding Protocol was used in distributed systems for performing coordination and communication. However, the existing Rumor Riding Protocol is used flooding technique to forward the response to the initiator it may leads high network traffic to avid this I have Enhanced Multi path forwarding technique to Rumor Riding Protocol and also enhancement with security features to make them suitable for downloading applications in P2P networks. In this method, it enhances the Rumor Riding Protocol with security features by including a Cryptographic Puzzle, a Challenge Question scheme using trust modeling and an intelligent beta reputation model for secured communication in P2P networks. For this purpose, five new techniques are proposed in this research work, all of which aim at enhancing the security of communication using Rumor Riding Protocol in the P2P networks.

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Secure Multiparty computation enabled E-Healthcare system with Homomorphic encryption

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： A Vijaya Kumar Mogalapalli Sai Sujith Kosuri Tarun Sai Galla Rajesh Devulapalli Jagannadha Sriram Yashwanth Assistant Professor Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India Student Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

With the spread of Covid–19 pandemic it is difficult for many patients to physically visit the Hospitals and get treatment. The Improved technology enable such patients to contact the concern doctors and get diagnosis information online. The security of the sensitive data of the Patients is vulnerable when the information is shared across the network. To address this, we are proposing a novel approach with the Privacy ensured self-care health management schema using Secure Multiparty computation (MPC). Through this approach the patient can share the sensitive data to the Hospital server through the online mode, the data will be shared in the encrypted format which will be matched with the existing data at the Hospital records and the best relevant match based on the smart Index of disease. The privacy preserving is key aspect in this model as the data is shared in the sensitive mode so the Homomorphic Encryption (HE) approach is used to perform computations on the Patient's sensitive data in the encrypted mode and ensure the confidentiality from Intruders to access the information. This model also proposes a novel approach which can overcome many security threats. The patient's data will be shared and used in a more secured manner so the patients specifically the elder who are not advised to visit the public places in this pandemic can also receive better treatment through online.

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Blockchain Based Public Cloud Security for E-Voting System on IoT Environment

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IOP Conference Series: Materials science and engineering 2020年第4期981卷

作者： A Vijaya Kumar Gabbita Viswa Sarvani Dama Satya Assistant Professor Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India Student Department of Computer Science and Engineering Koneru Lakshmaiah Education Foundation Vaddeswaram AP India

Digital Technology is inevitable for better life of the people. Voting by people plays the vital role in democracy as the leaders will be elected by it. IoT helps many edge devices to interact with a Cloud for storage and computation of the Voting results. The major concern for the Voter is whether the vote casted by him is tamperproof or not. Though Cloud offerings are started a decade ago still information security in the cloud is always a concern. This paper focuses on creating a tamperproof framework to ensure the data Integrity. It proposes a novel approach where the user can cast the vote from any of the electronic devices with a unique ID allotted to him, a two-step authentication can be applied like OTP to ensure the security. The votes from these edge devices will be sent to the untrusted third party public cloud for computation, the votes will be saved in the encrypted format. The computation will be done on encrypted data. The Block chain based workflow ensures that the votes which are shared in the encrypted format will not be tampered to ensure trust and Integrity to the proposed model. The model also can be extended to many public shared e-models like E-Auction and healthcare systems.

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Mathematical model for implementing Non Linear Time Series Forecasting using Deep Learning

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IOP Conference Series: Materials science and engineering 2020年第2期981卷

作者： Imran Qureshi Burhanuddin Mohammad Mohammed Abdul Habeeb Mohammed Ali Shaik Lecturer IT Department University of Technology and Applied Science-AlMusanna Oman Assistant Professor Department of Computer Science & Engineering SR University Warangal Telangana India

In this paper we propose a novel algorithm for implementing the mathematical model using the Non Linear Time Series Forecasting using the methods of deep learning which has to avoid noise and tends to transforms the space to next level in a iterative manner by swapping the down-trend to up-trend or up-trend to down-trend based on the iterative set values by computing the transformations. The proposed model must handle huge dimensional data which is in a dynamic nature of proposed model and then we need to compare the results attained from the proposed model with the complex ARIMA model and identified various trial and error methods for predicting the future price without guidance. For obtaining the results we used the petroleum dataset of India and attained the results which prove that our proposed mathematical model is far better than the famous ARIMA model while handling non linear time series applications.

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Design and analysis of shell and tube heat exchanger for low temperature applications using CFD

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IOP Conference Series: Materials science and engineering 2020年第4期912卷

作者： R S Anand Shibin David M. Gajendiran Kingston Stanley Research Scholar Department of mechanical Engineering Karunya Institute of Technology and Sciences Coimbatore India Assistant Professor Department of Computer Science and Engineering Karunya Institute of Technology and Sciences Coimbatore India Assistant Professor Department of Mechanical Engineering Sri Venkateswara College of Engineering Chennai India Assistant Professor Department of Biomedical Engineering Karunya Institute of Technology and Sciences Coimbatore India

A shell and tube device is deployed for the applications such as oil refinery processes, chemical processes and high pressure technologies. The hot fluid flows to the tubes in the heat exchanger, and the cool fluid moves through the shell section. Hence, heat is transferred from the tube section to the shell section of the heat exchanger. This article is deals with the modelling and analysis of mini shell and tube heat exchanger (MSTHE) for low temperature applications which is less than 250°C. The design of the heat exchanger is made with nine tubes which are of 6 mm diameter and shell of 41 mm diameter. As conventional design does not result in the internal heat transfer, computational fluid dynamics scheme is adopted to design the modified heat exchanger by adopting the conditions such as velocity of tube fluid and pressure drop. The modelling of MSTHE is done by Pro/E whereas CFD analysis is done with ANSYS. The contour obtained from the analysis proves that the MSTHE is applicable for the temperature less than 250°C and have the potential to transfer heat effectively.

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Identification of high grade and low grade tumors in MR Brain Image using Modified Monkey Search Algorithm

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IOP Conference Series: Materials science and engineering 2020年第1期993卷

作者： Saravanan Alagarsamy T. Abitha S. Ajitha S. Sangeetha Vishnuvarthanan Govindaraj Assistant Professor Department of Computer Science and Engineering Kalasalingam Academy of Research and Education India Under Graduate Scholar Department of Computer Science and Engineering Kalasalingam Academy of Research and Education India Associate Professor Department of Biomedical Engineering Kalasalingam Academy of Research and Education India

Detection of tumors present in the Magnetic Resonance brain image is a challenging task in the research field of medical imaging processing. The tumors with distinguished boundaries are difficult to find in the MR brain images, while performing the manual segmentation process. There is a necessity of an automated segmentation technique for performing better segmentation in terms of tumors with distinguished boundaries. The automated modified monkey search technique is used to find the optimized cluster position, and a random search operation is performed is locate all the pixels present in the image and then finally the location of the tumor region is exactly segmented/predicted by using the suggested monkey search algorithm. The suggested technique will support the radiologist for finding the tumors with distinguishing boundaries and accuracy of prediction of tumors is also improved lot with this approach. Based on the early prediction of tumors, diagnosing procedures will save the lives of many human beings.

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Review on various authentication schemes and attacks on connected vehicles

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IOP Conference Series: Materials science and engineering 2020年第1期993卷

作者： M. S. Bennet Praba J S Femilda Josephin Assistant Professor Department of Computer Science and Engineering SRM Institute of Science and Technology Ramapuram Chennai India. Associate Professor Department of Software Engineering SRM Institute of Science and Technology Kattankulathur Chennai – 603 203 India.

Connected cars are comfortable to drivers. But it also threat to humans. Connected vehicles share data like street safety, traffic analysis, road administration information like café, hospital, etc utilizing intruded on web availability and it is time delicate. Connected vehicles allow drivers and passengers to connect to the outside world while on the road. Security is the primary challenge for automakers and other stakeholders, because connected vehicles rely on wireless and cellular communication interfaces. Information should be protected from intruders. The communications between connected vehicles should be a trusted one. Safety is the primary focus of connected cars and the intruders should be identified and the intruders and falsified nodes can be identified by authentication schemes. In VANET vehicles react as indicated by the data got from the opposite end, so it is very vital that the data spreading in the framework is valid and produced by a genuine client. But there are many pitfalls in various authentication schemes. Privacy of the connected vehicles should be while sharing information and also information shared between connected vehicles should be an authenticated one. So still it a major challenge in connected vehicles due to the special characteristics like mobility, time sensitive, etc. This survey discussed the various authentication schemes and the various attacks related to that. Based on the survey, future directions of the secured trusted communications of connected vehicles have been discussed. The aim of this survey is to identify secured authentication techniques for a trusted communication.

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Improv with Robots: Creativity, Inspiration, Co-Performance

Improv with Robots: Creativity, Inspiration, Co-Performance

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IEEE International Workshop on Robot and Human Communication (ROMAN)

作者： Jesse Rond Alan Sanchez Jaden Berger Heather Knight school of Mechanical Industrial and Manufacturing Engineering Oregon State University Corvallis OR Undergraduate Student in the school of Mechanical Industrial and Manufacturing Engineering Oregon State University Corvallis OR Assistant Professor of Computer Science Oregon State University Corvallis OR

Improvisational actors are adept at creative exploration within a set of boundaries. These boundaries come from each scene having “games” that establish the rules of-play. In this paper, we introduce a game that allows an expressive motion robot to collaboratively develop a narrative with an improviser. When testing this game on eight improv performers, our team explored two research questions: (1) Can a simple robot be a creative partner to a human improviser, and (2) Can improvisers expand our understanding of robot expressive motion? After conducting 16 scenes and 40 motion demonstrations, we found that performers viewed our robot as a supportive teammate who positively inspired the scene's direction. The improvisers also provided insightful perspectives on robot motion, which led us to create a movement categorization scheme based on their various interpretations. We discuss our lessons learned, show the benefits of merging social robotics with improvisational theater, and hope this will encourage further exploration of this cross-disciplinary intersection.

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A new approach to identify similar users based on customer reviews

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IOP Conference Series: Materials science and engineering 2020年第1期804卷

作者： Dimple Chehal Parul Gupta Payal Gulati Research Scholar Department of Computer Engineering J.C. Bose University of Science and Technology YMCA Faridabad Assistant Professor Department of Computer Engineering J.C. Bose University of Science and Technology YMCA Faridabad

Recommender System suggests items of interest to users based on their preferences. These preferences are gauged through various sources such as purchase history, ratings, reviews and browsing behaviour. Collaborative filtering and content based filtering are the two widely used techniques that help in generating recommendations to the target user(s) by identifying similar users to target user or similar items to items of interest. Through this paper a new method to identify similar users based on the similarity of reviews has been proposed.

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H-array system on picture languages with array rewriting rules

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AIP Conference Proceedings 2020年第1期2277卷

作者： D. K. Sheena Christy P. John Paul D. G. Thomas 1Assistant Professor Department Of Mathematics SRM Institute Of Science And Technology India 2Teaching Associate Department Of Computer Of Science And Engineering SRM Institute Of Science And Technology India 3Professor Department Of Science and Humanities Saveetha School Of Engineering SIMATS India

Splicing systems was first proposed by Head on organic considerations to demonstrate indubitable chimeric behavior of DNA particles and are of current intrigue and study. In this paper, we study some of the chomskian hierarchy of array grammars namely (Regular:Regular)array grammar,(Context Free:Regular)array grammar and (Regular:Context Free)array grammar using H-array system. The Array rewriting rules is limited to extent by the action of row and column splicing.

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