International Journal of Science Engineering and Advance Technology (IJSEAT)
Not a member yet
1075 research outputs found
Sort by
Secure Sharing of PHR Data Using Re-Encryption: SESPHR
We propose a technique called SeSPHR for secure sharing of the PHRs in the cloud. The SeSPHR plan guarantees tolerant driven control on the PHRs and jelly the classification of the PHRs. The patients store the scrambled PHRs on the un-confided in cloud servers and specifically award access to various kinds of clients on various segments of the PHRs. A semi-believed intermediary called Setup and Re-encryption Server (SRS) is acquainted with set up people in general/private key sets and to create the re-encryption keys. In addition, the strategy is secure against insider dangers and furthermore implements a forward and in reverse access control. Moreover, we officially examine and confirm the working of SeSPHR strategy through the High Level Petri Nets (HLPN)
Computational Fluid Dynamics Analysis Of Louver Fins With Different Configurations
Researches in heat transfer have been carried out over the previous several decades, leading to the development of the currently used heat transfer enhancement techniques. Louver fins are widely used in heat exchanger for automotive applications such as radiator, intercooler, condenser, heater core etc. This study presents numerical analysis of effect of various louver fin configurations on heat transfer rate. The three dimensional governing equations for fluid flow and heat transfer are solved using ANSYS Fluent 19.2., fin geometries are developed by using CATIA v5. Multiple fin geometry’s are included in this study for better understanding of the fin behavior
Efficient Procedures to Enhance Answer Quality in Questions And Answer Websites
Question & answer system plays an important role to post questions and pick related answers to the questions in our day-to-day life, but it face trouble when the number of users and the number of questions increased . In this paper, we develop a question & answer system which forward the questions to the users who give high quality answers with a short answer wait time. In this system , identify an asker through friendship who are most likely to answer the questionby control the social network properties of common-interest and mutual-trust friend relationship and provide security by protecting user privacy and identifies, and retrieving answers automatically for recurrent questions . The performance of a system is evaluated via simulations and the results show that our question & answer system analyze the Q&A behavior of real users and questions to improve the answer quality and asker’s waiting time and enhance security compared to existing methods
Role Of Social Media As Time Variant In Health Monitoring System
Early monitoring of health information is corresponding to post-factum examines and empowers a scope of applications, for example, estimating social hazard factors and activating health efforts. We detail two issues: health progress location and health change pectation. We initially propose the Temporal Ailment Topic Aspect Model (TM– ATAM), another inactive model devoted to taking care of the primary issue by catching advances that include health related points. TM– ATAM is a non-evident expansion to ATAM that was intended to remove health related themes. It learns health related subject advances by limiting the expectation mistake on theme disseminations between back to back posts at various time and geographic granularities. To tackle the second issue, we create T– ATAM, a Temporal Ailment Topic Aspect Model where time is treated as an arbitrary variable locally inside ATAM
Secure data group sharing with attribute and time based encrypted data access over cloud
We propose a character based information bunch sharing and scattering plan out in the public cloud, where information proprietor could communicate encoded information to a gathering of collectors one after another by indicating these beneficiaries' personalities in a helpful and secure manner. So as to accomplish secure and adaptable information group spread, we receive property based and planned discharge restrictive intermediary re-encryption to ensure that solitary information disseminators whose properties fulfill the entrance approach of scrambled information can scatter it to different gatherings after the discharging time by appointing a re-encryption key to cloud server. The re-encryption conditions are related with traits and discharging time, which enables information proprietor to uphold fine-grained and coordinated discharge get to power over dispersed ciphertexts
Reducing End-To-End Delay And Balancing The Energy Consumption In Wireless Sensor Networks
This investigates the problem of energy consumption in wireless sensor networks. Wireless sensor nodes deployed in harsh environment where the conditions change drastically suffer from sudden changes in link quality and node status. The end-to-end delay of each sensor node varies due to the variation of link quality and node status. On the other hand, the sensor nodes are supplied with limited energy and it is a great concern to extend the network lifetime. To cope with those problems, this paper proposes a novel and simple routing metric, predicted remaining deliveries (PRD), combining parameters, including the residual energy, link quality, end-to-end delay, and distance together to achieve better network performance. PRD assigns weights to individual links as well as end-to-end delay, so as to reflect the node status in the long run of the network
Efficient optimal policy and resource allocation to provide qos services in multi-cloud
ABSTRACT: we propose a novel Service Level Agreement (SLA) framework for cloud computing, in which a value control parameter is utilized to satisfy QoS needs for all classes in the market. The framework utilizes reinforcement learning (RL) to infer a VM enlisting approach that can adjust to changes in the framework to ensure the QoS for all User classes. These progressions include: administration cost, framework limit, and the interest for administration. In displaying arrangements, when the CP rents more VMs to a class of Users, the QoS is debased for different classes because of a deficient number of VMs. In any case, our methodology coordinates processing assets adjustment with administration affirmation control dependent on the RL show. To the best of our insight, this investigation is the principal endeavor that encourages this mix to upgrade the CP's benefit and maintain a strategic distance from SLA infringement
Fine-grained access control and data confidentiality in public cloud
We initially propose an adaptable structure where user can utilize his property estimations and a hunt search to locally determine pursuit ability, and a record can be recovered just when its keywords coordinate the query and the user's trait esteems can pass the approach check. Utilizing this structure, we propose a novel plan called Keyword Search with Access Control (KSAC), which empowers keyword seek with access power over encoded information. Keyword Search with Access Control (KSAC) uses ongoing cryptographic crude called various leveled predicate encryption to implement fine-grained access control and perform multi-field query search. In the interim, it likewise bolsters the hunt capacity deviation, and accomplishes productive access arrangement update just as catchphrase update without bargaining information security. To improve the protection, Keyword Search With Access Control (KSAC) likewise plants commotions in the search to conceal users' entrance benefits. Serious assessments on genuine world dataset are directed to approve the appropriateness of the proposed plan and exhibit its insurance for user's entrance benefit
The Secured Multi-Keyword Ranked Search over Encrypted Data Stored in Cloud
A Secure Multi-key word Ranked Search Scheme over Encrypted Cloud Data Due to the growing acclaim of distributed computing, a regularly expanding number of information owners are impelled to re-fitting their information to cloud servers for mind blowing solace and diminished cost in information the board. In for the most part most cloud servers basically don't just serve one owner; rather, they support various owners to share the points of interest brought by distributed computing. In this paper, we propose Privacy ensuring Ranked Multi-catchphrase Search in a Multi-owner model. To engage cloud servers to perform secure chase without knowing the genuine information of the two watchwords and trapdoors, in this proposed structure deliberately construct a novel secure interest show. To rank the question things and ensure the security of relevance scores among catchphrases and records, we propose a novel Additive Order and Privacy Preserving Function family. To shield the aggressors from listening secretly keys and purporting to be authentic information customers submitting looks, we propose a novel ground-breaking riddle key age show and another information customer affirmation show. In addition, supports powerful information customer revocation. Wide tests on authentic world datasets assert the sufficiency and capability
A secured Multi keyword Ranked Search Scheme for Encrypted Data in Cloud Storage
Cloud computing condition gives on-request access to shared assets that can be made do with insignificant communication of cloud specialist organization and approved support of the client. Cloud stockpiling can be either open or private. Information in the open stockpiling can be seen by all cloud clients. The private information can be seen by the approved client as it were. This paper upgrade the security of the cloud information utilizing Advanced Encryption Standard (AES) encryption algorithm. Information proprietors are persuaded to re-appropriate their information in cloud servers for incredible comfort. Private information ought to be scrambled before redistributing by utilizing keys. Encryption is a significant idea in cloud computing to keep up the database. Existing framework kept up the database by giving secret key to records and archives. The proposed framework gives keys to get to the document and keys are kept up as private and keys are given by the information proprietor. The paper centered ostrovsky conspire (private data recovery) that enables a client to recover document with no data spillage. Trial result are exhibited to test the security of AES algorithm and data spillage