Best Project Center | Best project center in chennai, best project center in t.nagar, best project center in tnagar, Best final year project center, project center in Chennai, project center near me, best project center in mambalam, best project center in vadapalani, best project center in ashok nagar, best project center in Annanagar, best project center

Search Projects Here

4 Results Found

EHEALTHCARE RECOMMENDATION SCHEME- PPMR A Privacy-preserving Online Medical Service Recommendation Scheme In EHealthcare System

With The Continuous Development Of EHealthcare Systems, Medical Service Recommendation Has Received Great Attention. However, Although It Can Recommend Doctors To Users, There Are Still Challenges In Ensuring The Accuracy And Privacy Of Recommendation. In This Paper, To Ensure The Accuracy Of The Recommendation, We Consider Doctors' Reputation Scores And Similarities Between Users' Demands And Doctors' Information As The Basis Of The Medical Service Recommendation. The Doctors' Reputation Scores Are Measured By Multiple Feedbacks From Users. We Propose Two Concrete Algorithms To Compute The Similarity And The Reputation Scores In A Privacy-preserving Way Based On The Modified Paillier Cryptosystem, Truth Discovery Technology, And The Dirichlet Distribution. Detailed Security Analysis Is Given To Show Its Security Prosperities. In Addition, Extensive Experiments Demonstrate The Efficiency In Terms Of Computational Time For Truth Discovery And Recommendation Process.

FAULT TOLERANT DATA PROCESSING IN HEALTHCARE- Adaptive And Fault-tolerant Data Processing In Healthcare IoT Based On Fog Computing Networks

In Recent Years, Healthcare IoT Have Been Helpful In Mitigating Pressures Of Hospital And Medical Resources Caused By Aging Population To A Large Extent. As A Safety-critical System, The Rapid Response From The Health Care System Is Extremely Important. To Fulfill The Low Latency Requirement, Fog Computing Is A Competitive Solution By Deploying Healthcare IoT Devices On The Edge Of Clouds. However, These Fog Devices Generate Huge Amount Of Sensor Data. Designing A Specific Framework For Fog Devices To Ensure Reliable Data Transmission And Rapid Data Processing Becomes A Topic Of Utmost Significance. In This Paper, A Reduced Variable Neighborhood Search (RVNS)-based SEnsor Data Processing Framework (REDPF) Is Proposed To Enhance Reliability Of Data Transmission And Processing Speed. Functionalities Of REDPF Include Fault-tolerant Data Transmission, Self-adaptive Filtering And Data-load-reduction Processing. Specifically, A Reliable Transmission Mechanism, Managed By A Self-adaptive Filter, Will Recollect Lost Or Inaccurate Data Automatically. Then, A New Scheme Is Designed To Evaluate The Health Status Of The Elderly People. Through Extensive Simulations, We Show That Our Proposed Scheme Improves Network Reliability, And Provides A Faster Processing Speed.

REMOTE AUTHENTICATION SCHEMES- Remote Authentication Schemes For Wireless Body Area Networks Based On The Internet Of Things

Internet Of Things (IoT) Is A New Technology Which Offers Enormous Applications That Make People’s Lives More Convenient And Enhances Cities’ Development. In Particular, Smart Healthcare Applications In IoT Have Been Receiving Increasing Attention For Industrial And Academic Research. However, Due To The Sensitiveness Of Medical Information, Security And Privacy Issues In IoT Healthcare Systems Are Very Important. Designing An Efficient Secure Scheme With Less Computation Time And Energy Consumption Is A Critical Challenge In IoT Healthcare Systems. In This Paper, A Lightweight Online/offline Certificateless Signature (L-OOCLS) Is Proposed, Then A Heterogeneous Remote Anonymous Authentication Protocol (HRAAP) Is Designed To Enable Remote Wireless Body Area Networks (WBANs) Users To Anonymously Enjoy Healthcare Service Based On The IoT Applications. The Proposed L-OOCLS Scheme Is Proven Secure In Random Oracle Model And The Proposed HRAAP Can Resist Various Types Of Attacks. Compared With The Existing Relevant Schemes, The Proposed HRAAP Achieves Less Computation Overhead As Well As Less Power Consumption On WBANs Client. In Addition, To Nicely Meet The Application In The IoT, An Application Scenario Is Given.

ATTRIBUTE BASED SIGNATURE- Outsourced Decentralized Multi-Authority Attribute Based Signature And Its Application In Iot

IoT (Internet Of Things) Devices Often Collect Data And Store The Data In The Cloud For Sharing And Further Processing; This Collection, Sharing, And Processing Will Inevitably Encounter Secure Access And Authentication Issues. Attribute Based Signature (ABS), Which Utilizes The Signer’s Attributes To Generate Private Keys, Plays A Competent Role In Data Authentication And Identity Privacy Preservation. In ABS, There Are Multiple Authorities That Issue Different Private Keys For Signers Based On Their Various Attributes, And A Central Authority Is Usually Established To Manage All These Attribute Authorities. However, One Security Concern Is That If The Central Authority Is Compromised, The Whole System Will Be Broken. In This Paper, We Present An Outsourced Decentralized Multi-authority Attribute Based Signature (ODMA-ABS) Scheme. The Proposed ODMA-ABS Achieves Attribute Privacy And Stronger Authority-corruption Resistance Than Existing Multi-authority Attribute Based Signature Schemes Can Achieve. In Addition, The Overhead To Generate A Signature Is Further Reduced By Outsourcing Expensive Computation To A Signing Cloud Server. We Present Extensive Security Analysis And Experimental Simulation Of The Proposed Scheme. We Also Propose An Access Control Scheme That Is Based On ODMA-ABS.