2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)最新文献_第5页

An Efficient Key Generation Scheme for Secure Sharing of Patients Health Records using Attribute Based Encryption 基于属性加密的患者健康记录安全共享密钥生成方案

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767726

K. Kaliyaperumal, F. Sammy

{"title":"An Efficient Key Generation Scheme for Secure Sharing of Patients Health Records using Attribute Based Encryption","authors":"K. Kaliyaperumal, F. Sammy","doi":"10.1109/IC3IOT53935.2022.9767726","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767726","url":null,"abstract":"Attribute Based Encryption that solely decrypts the cipher text's secret key attribute. Patient information is maintained on trusted third party servers in medical applications. Before sending health records to other third party servers, it is essential to protect them. Even if data are encrypted, there is always a danger of privacy violation. Scalability problems, access flexibility, and account revocation are the main security challenges. In this study, individual patient health records are encrypted utilizing a multi-authority ABE method that permits a multiple number of authorities to govern the attributes. A strong key generation approach in the classic Attribute Based Encryption is proposed in this work, which assures the robust protection of health records while also demonstrating its effectiveness. Simulation is done by using CloudSim Simulator and Statistical reports were generated using Cloud Reports. Efficiency, computation time and security of our proposed scheme are evaluated. The simulation results reveal that the proposed key generation technique is more secure and scalable.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"102 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131274727","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Skill Analysis and Scouting Platform Using Machine Learning 使用机器学习的技能分析和侦察平台

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767872

T. Subha, R. Ranjana, B. Aarthi, S. Pavithra, M. Srinidhi

{"title":"Skill Analysis and Scouting Platform Using Machine Learning","authors":"T. Subha, R. Ranjana, B. Aarthi, S. Pavithra, M. Srinidhi","doi":"10.1109/IC3IOT53935.2022.9767872","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767872","url":null,"abstract":"In a world where technology is rapidly advancing many firms have changed their traditional approach of recruiting the students based on their academic scores. In light of the technological advancement, improvement of placement records is a challenge for higher educational institutions because they do not adequately focus on training their students in career prospects. Therefore, the proposed study seeks to establish a Data Prediction system to analyze the technical knowledge of the students and the job seekers by predicting their ability to obtain a position in their ideal company based on their hands-on experience and skillsets. In addition, this model also proposes a recommendation system to suggest the domains that are thriving as well as the sectors that the candidate should concentrate to upgrade their skill. Many candidates will be benefitted through this model as they can analyze their skillsets and up skill themselves which in turn enhances the placement rate of the educational institutions. Many firms increasingly shortlist candidates based on their resumes, but some job seekers falsify their resume's skillsets. So as an additional feature this model also provides the recruiters with a complete see through of the candidate's technical skills and domain knowledge. The company can then take advantage of this to scout the most ideal candidate by making the right career opportunity available to the right people.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"77 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116498776","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Agriculture Based Recommendation System with Image Processing 基于图像处理的农业推荐系统

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767923

Saranya K, Deena Dhayalan S, P. R, S. M.

引用次数: 1

Human Ear Identification System Using Shape and structural feature based on SIFT and ANN Classifier 基于SIFT和ANN分类器的人耳形状和结构特征识别系统

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767893

J. Jeyabharathi, S. Devi, Bindu Krishnan, Roxanna Samuel, M. I. Anees, R. Jegadeesan

引用次数: 2

Underground Cable Fault Detection 地下电缆故障检测

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9768021

M. Supriya, Rahman N Abdur, V. Harikrishna, N. Anupriya, K. Preetha

{"title":"Underground Cable Fault Detection","authors":"M. Supriya, Rahman N Abdur, V. Harikrishna, N. Anupriya, K. Preetha","doi":"10.1109/IC3IOT53935.2022.9768021","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9768021","url":null,"abstract":"Because of subsurface conditions, mileage, rodents, and different elements, underground links are vulnerable to a wide scope of issues. Diagnosing the wellspring of a deformity is intricate, and to confirm and address issues, the whole link should be eliminated from the beginning. The wire should be inspected for abandons to find a shortcoming. The rudimentary idea of Ohms law is utilized in this model. The current would change dependent on the link's issue length. Rather than overhead wires, electrical links go underground in metropolitan regions. At the point when an issue emerges in an underground link, pinpointing the specific site of the issue is hard to do to fix that link. The recommended approach finds the issue in its definite position. The model is comprised of an assortment of resistors that address link length in kilo-meters, and a bunch of switches that make issues at each known distance to twofold really take a look at the precision of the model. At the point when an imperfection happens, the voltage between series resistors changes, which is then contribution to an ADC, which produces precise advanced information and sends it to a programmable PIC IC, which shows the shortcoming area in distance. On a 16×2 LCD associated with microcontroller, issue distance, stage, and time are shown. Utilizing the ESP8266 Wi-Fi module, IoT is utilized to show data over the Internet. The data concerning the event of the imperfection is shown in a website page created with HTML code.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114508159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Securing Cloud Application using SHAKE-256 Hash Algorithm & Antiforgery token 使用shak256哈希算法和防伪令牌保护云应用程序

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9768008

Bhagath Gopinath, B. Latha

引用次数: 0

A ConvNet based Real-time Detection and Interpretation of Bovine Disorders 基于卷积神经网络的牛疾病实时检测与解释

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767880

N. Shivaanivarsha, Pasupuleti Baskaran Lakshmidevi, J. Josy

引用次数: 1

Analysis of Mineral Density in Bone Using Deep Learning and Smart Tracking System 基于深度学习和智能跟踪系统的骨骼矿物质密度分析

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767963

D. Arulselvam, T. Kumar, T. Sheela, S. Premalatha, K. Srividya, S. Nandhini

{"title":"Analysis of Mineral Density in Bone Using Deep Learning and Smart Tracking System","authors":"D. Arulselvam, T. Kumar, T. Sheela, S. Premalatha, K. Srividya, S. Nandhini","doi":"10.1109/IC3IOT53935.2022.9767963","DOIUrl":"https://doi.org/10.1109/IC3IOT53935.2022.9767963","url":null,"abstract":"Arthritis is the world one of the most worst immuno deficiency disease. It mainly invades joints of the bone in the body of humans. This deficiency analysis obtained from the images of the joints manually, is a chronic process and it requires experts to analyze the images obtain from the scan periodically which ultimately leads to delay in time and increase in cost. In order to analyze the problem effectively it is required to identify the mineral density of the bone BMD (Bone Mineral Density), a prime factor for identifying the disease in the bone and the risk level of fracture. The purpose of the work is to automate the process of analyzing density of the mineral present in the bone thermal images. The proposed detection model involves phases such as Image pre-processing, segmenting the portion of interest, extracting the features from the region segmented and classifying the abnormality. Initially the input thermal images is processed and filtered using two steps namely, de-noising the image using Anisotropic diffusion filter followed by enhancing technique using Contrast Limited adaptive histogram equalization-CLAHE. Next to image enhancement is segmentation, fuzzy C means is adopted for segmenting the affected portion. Once the portion is segmented, first order gray level features such a mean, median, energy, correlation entropy, variance and area are extracted and classified as normal or abnormal using deep neural network. Finally the output is fed to the controller and communicated remotely to the patients using GSM module.","PeriodicalId":430809,"journal":{"name":"2022 International Conference on Communication, Computing and Internet of Things (IC3IoT)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124788778","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1

Autonomous On-Site Segregation of Metals and Non Metals Using A Scrap Collecting Robot 利用废料收集机器人进行金属和非金属的自主现场分离

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767861

Shivaanivarsha N, Vigita S, D. P, S. M

引用次数: 2

Integer and Fractional Order based Model Predictive Control for Level Control in Spherical Tank 基于整数阶和分数阶模型的球罐液位预测控制

2022 International Conference on Communication, Computing and Internet of Things (IC3IoT) Pub Date : 2022-03-10 DOI: 10.1109/IC3IOT53935.2022.9767909

Vairavel K S, Ikram N, Pravin Savaridass M, Shankar Ra V, M. S., Nalifabegam J

引用次数: 0