2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)最新文献_第9页

Study and Implementation of Location-based Access control Mechanism in Cloud services 云服务中基于位置的访问控制机制研究与实现

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113996

Shital Panchbudhe, M. Dave

{"title":"Study and Implementation of Location-based Access control Mechanism in Cloud services","authors":"Shital Panchbudhe, M. Dave","doi":"10.1109/OTCON56053.2023.10113996","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113996","url":null,"abstract":"Access to cloud-based services requires identity and access control management. This control management mechanism is required to provide security, to prevent data loss and protection from malware attacks. For security reasons, the tendency of using multi-factor authentication is widely used over single-factor authentication as single-factor authentication are more prone to security infringements. Here the use of location-based authentication is suggested as another level of authentication over primary level. By making the user’s location grounded at a particular point, attackers supposedly have more difficulty in compromising such a system. Authentication is the most important security feature during exchange of data between client and server. The location based authentication helps to add another layer of security on top of traditional access patterns. Most commonly, authentication schemes depend upon three factors: (1) known by the user e.g. personal identity number(PIN), password; (2) owned by the user e.g. token,etc.(3) individual identity of the user e.g. bio-metrics, such as voice recognition, fingerprints, retinal scans,etc. In this paper, we propose a location-based authentication scheme for cloud connectivity. The proposed mechanism consists of three parts: location registration, authentication and location verification. We aim to minimize the risk of identity theft by employing an extra layer to user access verification.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126473769","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

The effect of the Radon field for efficient medical image compression 氡场对高效医学图像压缩的影响

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114017

M. Cherifi, Leila Akrour, Mourad Lahdir

引用次数: 0

Software Fault Prediction using Wrapper based Feature Selection Approach employing Genetic Algorithm 基于遗传算法的包装器特征选择方法的软件故障预测

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113911

H. Kumar, Himansu Das

引用次数: 1

Unsupervised Lung Anomaly Detection from Chest Radiographs for Curative Care using Isolation Forest Algorithm 基于隔离森林算法的无监督胸片肺异常检测用于治疗性护理

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113915

H. Mary Shyni, E. Chitra

引用次数: 0

Tools and Techniques for Annotating the Plant Leaf Diseases 植物叶片病害注释工具与技术

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113950

J. Praveen Gujjar, V. Naveen Kumar, M. S. Guru Prasad

引用次数: 0

Machine Learning Security Algorithms and Framework for IOT System 物联网系统的机器学习安全算法和框架

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10114014

Megha Mishra, V. Mishra, Sunil Tekale, T. NagaPraveena, Kimidi Parijatha, B. Dewangan, Saddamhusian Hadimani

{"title":"Machine Learning Security Algorithms and Framework for IOT System","authors":"Megha Mishra, V. Mishra, Sunil Tekale, T. NagaPraveena, Kimidi Parijatha, B. Dewangan, Saddamhusian Hadimani","doi":"10.1109/OTCON56053.2023.10114014","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10114014","url":null,"abstract":"This paper cover different security issues needs along with attack and vectors attacks and also highlighted current issues and solutions for IoT security for networks are all thoroughly reviewed in this study. Here we cover ML and DL methods for holes in these security solutions that demand strategies are then highlighted. We also go into great detail about the ML and DL technologies that are now being used to solve a range of security harms to different IoT networks. In this study we highlighted the future research prospects for ML (Machine Leraning) and DL (Deep Learning) based IoT security based on the thorough analysis of the already published solutions. This work focused on a brand-new (ML) machine learning based security framework that adapts automatically to the evolving security needs of the IoT domain. For the purpose of reducing various vulnerabilities, this framework formulate utilize of both (NFV) Network Function Virtualization enabler’s and (SDN) Software Defined Networking. To accomplish this result we are using supervised learning and their framework that system more secures and distributed data mining system, and neural networks.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"85 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134422824","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

Survey on Healing Herbs Detection using Machine Learning 基于机器学习的中药检测研究综述

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113930

Savita Adhav, Rutuja Rekhawar, Veena Tapale, Sainath Habre, Arpita Savagonmath

{"title":"Survey on Healing Herbs Detection using Machine Learning","authors":"Savita Adhav, Rutuja Rekhawar, Veena Tapale, Sainath Habre, Arpita Savagonmath","doi":"10.1109/OTCON56053.2023.10113930","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113930","url":null,"abstract":"Nowadays health is very important. All need to take care of their health so that they can prevent diseases and improve their quality of life. The Sanskrit word Ayurveda comprises Science and Knowledge. In simple words, we can say that Ayurveda is the art of living. Medicines can cause hazards to our bodies as well but Ayurveda uses all the natural things for treatment so it is not harmful or dangerous for our bodies. The precise identification of medicinal plants is critical in Ayurvedic medicine. Human specialists use visual characteristics and fragrances to identify plants. Along with leaves flowers and spices are also a vital component in curing diseases. Flowers like lavender, marigold, hibiscus and many more, spices like clove, ginger, cumin, turmeric and so on play crucial role along with their leaves. Covid -19 had very terrible impact on lives of many people. Along with medicines; Ayurveda also played a very important role in curing people. Ayurvedic kadas and many more vanaspatis were used to get rid of this virus, many of the people got rid of this virus at home using home remedies. So, our main aim is to predict the ayurvedic plants that can cure various diseases using machine learning models.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129396538","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

Recommender Systems and Artificial Intelligence in Digital Marketing 数字营销中的推荐系统和人工智能

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113923

Saahil Lashkari, Shilpi Sharma

引用次数: 0

Application of microphone array in ADAS using Model Based Development 基于模型开发的麦克风阵列在ADAS中的应用

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113905

Ashish Oktey, S. Mohaney

引用次数: 0

Classification of Phishing Website Using Machine Learning Based Proposed Ensemble Model 基于机器学习集成模型的钓鱼网站分类

2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON) Pub Date : 2023-02-08 DOI: 10.1109/OTCON56053.2023.10113909

Prakash Pathak, A. Shrivas

{"title":"Classification of Phishing Website Using Machine Learning Based Proposed Ensemble Model","authors":"Prakash Pathak, A. Shrivas","doi":"10.1109/OTCON56053.2023.10113909","DOIUrl":"https://doi.org/10.1109/OTCON56053.2023.10113909","url":null,"abstract":"Phishing is the process of trying to get sensitive data from unauthorized persons, such as usernames, passwords, credit card numbers, and debit card information. Since there is no one method to properly reduce every vulnerability due to the problem of phishing. There are many techniques are frequently utilized to reduce specific attacks. The main aim of this research work is to develop a robust machine learning based model that can detect and classify URL based phishing data. This paper proposed a new ensemble model that is a combination of Decision Tree (DT), Support Vector Machine (SVM), and Logistic Regression (LR) using the voting scheme ensemble technique. The proposed ensemble model compared with other individual classifiers like Decision Tree (DT), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Gaussian Naive Bayes (GNB), Logistic Regression (LR) techniques, and ensemble classifiers like Extreme Gradient Boosting (XGBoost), Adaptive Boosting (AdaBoost) where our proposed ensemble model achieved remarkable performance of 99.02% accuracy with 10-fold cross validation technique. Finally, machine learning based classification techniques are suitable and robust methods that handle the dynamic nature of phishing techniques and provide an accurate method of classification.","PeriodicalId":265966,"journal":{"name":"2022 OPJU International Technology Conference on Emerging Technologies for Sustainable Development (OTCON)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131011753","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