2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)最新文献

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Classification and Imapct of Cyber Threats in India: A review 印度网络威胁的分类和影响:综述
Sarvesh Tanwar, T. Paul, Kanwarpreet Singh, Mannat Joshi, A. Rana
{"title":"Classification and Imapct of Cyber Threats in India: A review","authors":"Sarvesh Tanwar, T. Paul, Kanwarpreet Singh, Mannat Joshi, A. Rana","doi":"10.1109/ICRITO48877.2020.9198024","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9198024","url":null,"abstract":"Due to rapid flaring criminal activities and offences in the cyber world, a deep and detailed research and study on this grave matter was very necessary. This research paper brings attention to this serious issue which is only increasing with time. The paper describes various crimes and potential threats a user might face on the internet and in the cyber world which can cause loss of sensitive or important data and even put the device in dangerous and risky situations. With graphs and pie charts, the paper throws light on the cyber-crime statistics which shouldn’t be ignored. This paper compares data and information with previously written research papers on this matter.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115600286","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: 4
Implementation of Low Cost Real-time Attendance Management System: A Comparative Study 低成本实时考勤管理系统的实现:比较研究
Rakib Hasan, Sajedul Islam, Md. Habibur Rahman, M. Saifuzzaman, Syeda Farjana Shetu, Nazmun Nessa Moon
{"title":"Implementation of Low Cost Real-time Attendance Management System: A Comparative Study","authors":"Rakib Hasan, Sajedul Islam, Md. Habibur Rahman, M. Saifuzzaman, Syeda Farjana Shetu, Nazmun Nessa Moon","doi":"10.1109/ICRITO48877.2020.9197764","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9197764","url":null,"abstract":"In this research, a systematic approach was adopted to expand the level of service to the real-time attendance system. The test was performed to assess the efficiency of the attendance system, which would be quite cost-effective but accurate. To that the expense of linking our biometric attendance system to a central server where the data is changed instantly. So, the possibility of data loss is nothing at all. Our proposed prototype may cost around 30$ while the available existing devices are high priced. Moreover, most devices generate abundant data in favor of an individual user where our proposed model provides well organized data to track down the attendance. Furthermore, a very low amount of energy is needed to run the entire system. The entire system can be installed anywhere with a very low expense.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123072111","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: 6
Variable Neighbourhood Search for Bi-Objective Travelling Thief Problem 双目标旅行贼问题的变邻域搜索
R. Kumari, K. Srivastava
{"title":"Variable Neighbourhood Search for Bi-Objective Travelling Thief Problem","authors":"R. Kumari, K. Srivastava","doi":"10.1109/ICRITO48877.2020.9198016","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9198016","url":null,"abstract":"In this paper, Travelling Thief Problem (TTP) which is a hybridization of two well-known hard optimization problems-namely Travelling salesman problem and Knapsack Problem, is dealt using metaheuristic approach. We have designed and implemented Variable Neighbourhood Search, a widely used metaheuristic, to tackle TTP. The results indicate comparable performance with the available best-known work for TTP.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"116 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116938502","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
IoT Based Navigation System for Visually Impaired People 视障人士物联网导航系统
Shabnam Choudhary, Vaishali Bhatia, K. Ramkumar
{"title":"IoT Based Navigation System for Visually Impaired People","authors":"Shabnam Choudhary, Vaishali Bhatia, K. Ramkumar","doi":"10.1109/ICRITO48877.2020.9197857","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9197857","url":null,"abstract":"The Internet of Things is playing a vital role in making human life easy and comfortable. A large proportion of the population in our society includes physically challenged people. There are several tools available to help blind people to lead a normal life, but still, most of them lack efficiency and accessibility. One of such problems is accessing public transport by blind people. This paper presents an RFID based electronic model, which will help a blind person to use public transport very quickly and safely in his daily life without any external help. The proposed system helps a visually impaired person not only in booking the public transport but also helps them to reach the bus stop through the audio guide using GPS and to pay the travel fare. The implementation of this model consists of two devices, a user module and bus module, connected through a wireless network to exchange information. The system is designed to reduce efforts and to create a comfortable life for blind people.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127280987","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: 6
Role of Bloom Filter in Analysis of Big Data 布隆过滤器在大数据分析中的作用
Sudhriti Sengupta, A. Rana
{"title":"Role of Bloom Filter in Analysis of Big Data","authors":"Sudhriti Sengupta, A. Rana","doi":"10.1109/ICRITO48877.2020.9197859","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9197859","url":null,"abstract":"Big data is a collection of large amount of data which increases in volume, velocity and variety very rapidly. As a researcher, deriving values of importance from this large repository of data is utmost important and challenging. This paper discusses the methods for using Probabilistic Data Structure in Big Data Analysis. The application is primarily focused on Bloom Filters as processing of big data is a major challenge because big data is a continuous stream of rapidly increasing data. To have maximum benefit from data, a bloom Filter can be used so that usability of big data can be achieved while decreasing space or time.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125261476","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: 3
Internet of Things and its Applications in Healthcare-A Survey 物联网及其在医疗保健中的应用——调查
H. Bhatia, S. Panda, Dimple Nagpal
{"title":"Internet of Things and its Applications in Healthcare-A Survey","authors":"H. Bhatia, S. Panda, Dimple Nagpal","doi":"10.1109/ICRITO48877.2020.9197816","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9197816","url":null,"abstract":"In this paper, the Internet of Things(IoT) and its applications in the healthcare industry have been discussed. The amalgamation of IoT with healthcare has instigated an increase in the improvement of devices for personalized healthcare management like smart watches, wearable sensors, etc. which have eliminated the need of expensive medical tools, painful procedures and reduced the dependency of patients on medical personnel. It has paved the way for better health opportunities and self-care. The paper also presents a comparison between various sensors used in the field of healthcare and their types, the IoT architecture, tools and technologies used to develop IoT systems, and m-Health apps. The objective of the paper is to clarify the concept of IoT to the reader and to make the reader aware of the present trends used in IoT healthcare.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122334613","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: 16
An r2rml-based Approach to Map Dengue Patient Database to Ontology 基于r2rml的登革热患者数据库到本体映射方法
Runumi Devi, D. Mehrotra, Hajer Baazaoui-Zghal
{"title":"An r2rml-based Approach to Map Dengue Patient Database to Ontology","authors":"Runumi Devi, D. Mehrotra, Hajer Baazaoui-Zghal","doi":"10.1109/ICRITO48877.2020.9197823","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9197823","url":null,"abstract":"Integrating Dengue patients’ data in semantic web from “deep web” facilitates interoperability amongst healthcare systems. Mapping dengue patients’ data that exist in relational databases with the existing machine-readable and interoperable Dengue knowledge-base is crucial towards providing interoperability through linked data network amongst Electronic Health Record(EHR) systems. An RDB to RDF mapping language(R2RML) based approach that maps dengue patients’ information maintained in legacy system(Relational database) to an existing dengue patients’ ontology is proposed in this paper. Mapping file is generated using R2RML for the database which is subsequently customized and mapped with the existing ontology. Finally RDF model is generated using R2RML processor based on the customized ontology and Simple Protocol and RDF Query Language (SPARQL) query is also executed that demonstrates ontology mapped patients triples.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116740172","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: 2
Personality Classification System using Data Mining 基于数据挖掘的人格分类系统
Sandhya Katiyar, Himdweep Walia, S. Kumar
{"title":"Personality Classification System using Data Mining","authors":"Sandhya Katiyar, Himdweep Walia, S. Kumar","doi":"10.1109/ICRITO48877.2020.9197803","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9197803","url":null,"abstract":"Personality is one feature that determines how people interact with the outside world. Personality can be defined as a necessary element of a person’s behavior. The way people interact with other people determines their personality. This paper covers the topic of Automated Personality Classification – a system that analyses the personality of a user based on certain features using Data Mining Algorithms. In this paper, a system is proposed which analyses the personality of an applicant. This system will be helpful for organizations as well as other agencies who would be recruiting applicants based on their personality rather than their technical knowledge. The personality prediction results are based on Big Five Personality traits and the classification is done using Naïve Bayes Algorithm and Support Vector Machine.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128303837","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: 4
Fake News Detection with Integration of Embedded Text Cues and Image Features 嵌入式文本线索和图像特征集成的假新闻检测
Deepak Mangal, D. Sharma
{"title":"Fake News Detection with Integration of Embedded Text Cues and Image Features","authors":"Deepak Mangal, D. Sharma","doi":"10.1109/ICRITO48877.2020.9197817","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9197817","url":null,"abstract":"A novel approach using Convolution neural Network (CNN) and Long short-term memory (LSTM) has been proposed to find the reliability of the news. In this research, image visual feature with embedded text feature and headline texts have been considered to find the comprehensive results. First the semantic information from the images have been captured as text (news tag line) and this tag has been compared to the original headline text. Individually image and text both are insufficient to find the semantic knowledge of publish news. So, the cosine similarity index (CSI) has been used to predict the reliability of the news. The threshold of CSI has been constrained greater than 0.62 for the news real. A repository has been created named as” imaged fake news”. In this repository 1000 images have been considered with the headline texts, where 367 news were fake and 633 news were real. The accuracy of the proposed method is 91.07%. The result implies that the novel methodology is better than the state-of-the-art method.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128768519","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
Survey on Fake Profile Detection on Social Sites by Using Machine Learning Algorithm 基于机器学习算法的社交网站虚假资料检测研究
Kumud Patel, Sudhanshu Agrahari, Saijshree Srivastava
{"title":"Survey on Fake Profile Detection on Social Sites by Using Machine Learning Algorithm","authors":"Kumud Patel, Sudhanshu Agrahari, Saijshree Srivastava","doi":"10.1109/ICRITO48877.2020.9197935","DOIUrl":"https://doi.org/10.1109/ICRITO48877.2020.9197935","url":null,"abstract":"To avoid the spam message, malicious and cyber bullies activities which are mostly done by the fake profile. These activities challenge the privacy policies of the social network communities. These fake profiles are responsible for spread false information on social communities. To identify the fake profile, duplicate, spam and bots account there is much research work done in this area. By using a machine-learning algorithm, most of the fake accounts detected successfully. This paper represents the review of Fake Profile Detection on Social Site by Using Machine Learning.","PeriodicalId":141265,"journal":{"name":"2020 8th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128624005","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: 9
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