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Personal health record (PHR) is an emerging patient-centric model of health information exchange, which is often outsourced to be stored at a third party, such as cloud providers. However, there have been wide privacy concerns as personal health information could be exposed to those third party servers and to unauthorized parties. To assure the patients` control over access to their own PHRs, it is a promising method to encrypt the PHRs before outsourcing. Yet, issues such as risks of privacy exposure, scalability in key management, flexible access, and efficient user revocation, have remained the most important challenges toward achieving fine-grained, cryptographically enforced data access control. In this proposal a novel patient-centric framework and a suite of mechanisms for data access control to PHRs stored in semi trusted servers. To achieve fine-grained and scalable data access control for PHRs, it leverages attribute-based encryption (ABE) techniques to encrypt each patient`s PHR file. Different from previous works in secure data outsourcing, we focus on the multiple data owner scenario, and divide the users in the PHR system into multiple security domains that greatly reduces the key management complexity for owners and users. A high degree of patient privacy is guaranteed simultaneously by exploiting multiauthority ABE. This technique also enables dynamic modification of access policies or file attributes, supports efficient on-demand user/attribute revocation and break glass access under emergency scenarios. Extensive analytical and experimental results are presented which show the security, scalability, and efficiency of our proposed scheme.

Attribute, Encryption, Health Record, Cloud, Trusted Server

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P. Swetha, P. Srividhya, "Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute-Based Encryption", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.320-324, 2019.

With the advent of new technologies, devices and communication means like social networking sites the amount of data produced by mankind is increasing every year. Though the information produce is meaningful, it can be useful only with proper data analytics. There is a vast amount of data generated in the healthcare industry in recent years. This paper discusses about the recent research of big data tools and approaches for the analysis of healthcare informatics data gathered at various levels. The data thus collected is to be structured and analyzed for finding possible solutions. In this paper we use the predictive analysis algorithm in Hadoop and Map Reduce to predict the diabetes prevalent, complications associated with it and the type of treatment to be provided. The result is predicted based on the analysis of big data in an efficient way to cure and care the patients.

Ecosystem for Health care, Big Data Case, Need of Big Data in Government

[1]. Yanglin Ren, Monitoring patients via a secure and mobile healthcare system, IEEE Symposium on wireless communication,2011
[2]. Dai Yuefa, Wu Bo, GuYaqiang ,Data Security Model for Cloud Computing, International Workshop on Information Security and Application,2009
[3]. Jeffrey Dean and Sanjay Ghemawat,MapReduce: Simplified Data Processing on Large Clusters,ACM,2008
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N. Vanjulavalli, M. Saravanan, "The Impact of Big Data Applications in Health Care Industry", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.325-327, 2019.

The linguistics internet will be thought of as a mesh of connected data (resources) or a globally connected distributed information [4, 5, 7]. the most goal is that information ought to simply be processed by machines. Ontology tools will be applicable for all stages of the metaphysics lifecycle (creation, population, validation, deployment, maintenance and evolution). metaphysics will be accustomed support varied data management together with data retrieval, store and sharing. There ar many metaphysics languages like XML, RDF(S), DAML+OIL and bird of prey. several metaphysics tools are developed for implementing information of metaphysics victimisation these languages. However, current metaphysics tools have some issues in interoperation and cooperative work. the first goal of this survey is to grasp and measure every tool by analyzing and victimisation them. Therefore, we will develop the new generation tool not solely supporting a lot of capabilities, however additionally determination current tools’ issues.

Ontology, RDF, Semantic web.

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[16] http://en.wikipedia.org/wiki

P. Karpagam, "A Survey on Ontology Tools in Semantic Web", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.328-334, 2019.

The Internet of Medical Things (IoMT) is the collection of medical devices and applications that connect to healthcare IT systems through online computer networks. Medical devices equipped with Wi-Fi allow the machine to machine communication that is the basis of IoMT. IoMT devices link to cloud platforms such as Amazon Web Services, on which captured data can be stored and analyzed. IoMT is also known as healthcare IoT. The proposed idea is based on the advancement of new advanced technology and Internet of Things which act as an airing device for patient care identification and patient care monitoring. It allows doctors to attend manifold of patients in rural areas without regular concentrating on a single patient. It also includes mobile notifications to doctors if the patient condition is critical. The (IoMT) is an incorporation of medical devices and applications that can connect to healthcare ideas using networking technologies. It connects patients to their doctors and allows transfer of medical data over a secure network, which in turn reduces unnecessary hospital visits and reduces the burden on healthcare ideas largely. In this paper an IoT idea will be developed to monitor the patient with this chronic disorder using cloud data logging. The developed idea can also be used to monitor various other parameters of patients such as Respiration, Body temperature, Pressure and the same can be logged every 20 seconds on cloud services. The doctors can monitor the patient’s data using his mobile phone by logging into the cloud service and take necessary actions according to the parameters measured.

IOMT, MALAISE DETECTION, DENGUE

[1]. Gupta P., Agrawal D., Chhabra J.,Dhir P.K. IOT Based Smart Healthcare Kit. Jaypee University of Information Technology.
[2]. Kumar R., Rajasekaran M.P. An IOT Based Patient Monitoring Idea Using Raspberry Pi. Department of Electronics and Communication Engineering Kalasalingam University Tamilnadu, India.
[3]. 3) Freddy Jimenez Universidad Andres Bello, Vina del Mar, Chile Romina Torres Universidad Andres Bello, Vina del Mar. Building An IOT-Aware Healthcare Monitoring Idea. Chile.
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M. Dhasarathi, R. Priyadharshini, "Patient Care Monitoring and Mobile Notification Using Health Care IoT", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.335-337, 2019.

Assistive technology is any hardware or software designed to enable independence for disabled and older people. Technologies are growing up day to day. The disabled and older people are very difficult to adopt new technologies. Disabled people are an important part of our society who has not yet received the same opportunities as others in their inclusion in the Information society. It is necessary to develop easily accessible systems for computers to achieve their inclusion within the new technologies. The main objective of this paper is to review and discuss the assistive systems that help disabled and older people to be drawn nearer to new technologies.

Assistive Technology, Information Society, Accessible Systems

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R. Indhumathi, A. Geetha, "A Survey on Assistive Systems", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.338-341, 2019.

Traditionally, as soon as confidentiality becomes a concern, data are encrypted before outsourcing to a service provider. Any software-based cryptographic constructs then deployed, for server-side query processing on the encrypted data, inherently limit query expressiveness. Here, we introduce TrustedDB, an outsourced database prototype that allows clients to execute SQL queries with privacy and under regulatory compliance constraints by leveraging server-hosted, tamper-proof trusted hardware in critical query processing stages, thereby removing any limitations on the type of supported queries. Despite the cost overhead and performance limitations of trusted hardware, we show that the costs per query are orders of magnitude lower than any (existing or) potential future software-only mechanisms. TrustedDB is built and runs on actual hardware, and its performance and costs are evaluated here.

Encryption,SQL,Query,DB

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S. Bavithra, T. Manivannan, "A Trusted Hardware- Database Based with Data Confidentiality", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.342-346, 2019.

Mobile ad hoc networking is a technology which works without requiring an already established infrastructure and centralized administration and provides for the cooperative engagement of a group of mobile nodes. In a mobile ad hoc network, each node can function as router and thus mobile nodes directly send messages to each other via wireless to a destination node beyond its transmission range by using other nodes as relay points. In recent years, research on mobile ad-hoc network is growing exponentially. In mobile ad-hoc network, abbreviated as MANET, transmission can be takes place without any use of wires. In this network, nodes are mobile and free to move in any directions. They send their messages to any other mobile nodes in the network. One of the protocol of MANET is AODV (Ad-hoc On demand Distance Vector) Routing Protocol. The main problem in this network is that the nodes in this network is frequently moving thereby the topology is changing frequently in MANET. Thus it is very much necessary for every node in the network to keep track of change so that an efficient packet transmission can be done. This is done by modeling the AODV routing protocol. In this paper, the network is modeled by using the Colored Petri Nets(CPN). CPN is the high level petri net that has the capacity of formally modeling and verifying complex system.

AODV, Colored petri net tool, Mobile Ad-hoc Network, routing protocol, TPN

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[5] Lakshmi P.S., Pasha Sajid and Ramana M.V. Security and Energy efficiency in Ad Hoc Networks. Research Journal of Computer and Information Technology Sciences Vol. 1(1), 14-17, February (2013).
[6] Agrahari S., and S. Chinara. Simulation of Random Waypoint Mobility Model Using Coloured Petri Nets. In ICCTS, 18th 19th August, New Delhi, 2012.
[7] Simaremare, Harris. Energy consumption analysis of modified AODV routing protocol under random waypoint and reference point group mobility models. Advanced Computer Science and Information Systems (ICACSIS), 2012 International Conference on IEEE, 2012.
[8] Shabestar Branch, Islamic Azad University, Validation of Ad hoc On- demand Multipath Distance Vector Using Colored Petri Nets. Iran. 2011 International Conference on Computer and Software Modeling IPCSIT vol.14 (2011) © (2011) IACSIT Press, Singapore.
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[12] Ali Nakhaee, Ali Harounabadi, javad Mirabedini. A Novel Communication Model to Improve AODV Protocol Routing Reliability. Application of Information and Communication Technologies (AICT), 2011 5th International Conference on 2011, Page(s): 1- 7
[13] Hanifa Boucheneb and Rachid Hadjidj. Model Checking of Time Petri Nets (2009).
[14] K. Jensen and L.M. Kristensen . Coloured Petri Nets - Modelling and Validation of Concurrent Systems. Springer, ISBN: 978-3-642-00283-0, 2009.
[15] Lisa Wells. Performance Analysis using CPN Tools. Department of Computer Science, University of Aarhus. Aabogade 34, 8200 Aarhus N, Denmark

S. Eswari, "Testing and Analysis of Secured AODV Routing Protocol", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.347-350, 2019.

Large area land-cover monitoring scenarios, involving large volumes of data, are becoming more prevalent in remote sensing applications. Thus, there is a pressing need for increased automation in the change mapping process the land transformation Model (LTM), which couples geographic information systems (GIS) with artificial neural networks. The objective of this research presents the survey report based on compare the performance of three machine learning algorithms (MLAs) and prediction of land use changes in GIS. The change map generated using ARTMAP has similar accuracies to a human-interpreted map produced by the U.S. Forest Service in the southern study area (John Rogan et al 2007). ARTMAP appears to be robust and accurate for automated, large area change monitoring as it performed equally well across the diverse study areas with minimal human intervention in the classification process. GIS is used to develop the spatial, predictor drivers and perform spatial analysis on the results. The predictive ability of the model improved at larger scales when assessed using a moving scalable window metric. the individual contribution of each predictor variable was examined and shown to vary across spatial scales.At the smallest scales, quality views were the strongest predictor variable. We interpreted the multi-scale influences of land use change, illustrating the relative influences of site (e.g. quality of views, residential streets) and situation (e.g. highways and county roads) variables at different scales.

Component, Formatting, Style, Styling, Insert (key words)

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N. Bharanikumar, P. Dhanalakshmi, "Survey on Machine Learning Algorithms for Classification and Prediction of Land Use Changes Using GIS", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.351-354, 2019.

In this work, the Provider aware forwarding convention is planned as illustrative of the attentive distribution classification. The considered arrangement is planned not to modify the Interest/Data trade and without extra packages. The main required information structure is the alleged Distance Table, which keeps up panel of data between every centre and the correspondence endpoints. LFBL use three packet type content demand and reply, which are utilized like Interest and Data bundles, and acknowledgement, which is utilized by the consumer to affirm the provider determination. The information healing happens by steps: first, the Interest is scattered in the system with a controlled flooding procedure so as to find the accessible provider; at that point, the consumer chooses a provider and sends an acknowledgement packet for assertion; at long last, a separation based sending plan is empowered, so each middle of the path centre chooses if sending the resulting content demand or not by checking its Distance table. In particulars every core keeps up the Distance table, in addition to the standard NDN table, which incorporates, for each prepared content name, the provider identifier (ID) and the bound partition to it.

Provider-aware forwarding (PAF), Distance Table (DT), Named Data Network, LFBL, E-CHANET

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P. Lakshmi Priya, K. Premkumar, "A Survey on Various Forwarding Protocols Scheme for Named Data Network in MANET", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.355-358, 2019.

Recent technologies and developments on bioinformatics emphasize for analysis of the biological data which is generated by the biological sciences and biotechnology. Definition of Bioinformatics is used to storage, manipulation and interpretation data of nucleic acids and amino acids and molecular rules and system that affects the structure. Cancer is a major and serious public health problem worldwide. Cancer is uncontrolled proliferation of cells that arise from virtually any cell type in the body. This paper discusses about the cancer symptoms, analysis and the preventing measures. However, additionally, there are even more discussion about oral cancer among hospitalized patients. This paper discusses the levels of preventing oral cancers and characteristics of patients is directed to get a better understanding of the existing research problems in this emerging field.

Nucleic acids, Amino acids, Oral Cancer Levels, Preventing measures of Cancer patients, Applications of Bioinformatics.

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G. Shruthi, J. Madhusudhanan, "A Survey on Oral Cancer Analysis among Hospitalized Patients Based Bioinformatics", International Journal of Computer Sciences and Engineering, Vol.07, Issue.04, pp.359-362, 2019.