2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)最新文献_第4页

Apprehending Mirai Botnet Philosophy and Smart Learning Models for IoT-DDoS Detection 了解物联网ddos检测的Mirai僵尸网络原理和智能学习模型

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00089

Manish Snehi, A. Bhandari

引用次数: 5

Commercially Available Sensor-based Monitoring and Support Systems in Parkinson's Disease: An Overview 商用传感器监测和支持系统在帕金森病:概述

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00077

D. Piromalis, Christos Kokkotis, Themistoklis Tsatalas, George Bellis, D. Tsaopoulos, P. Zikos, Nikos Tsotsolas, S. Pizanias, Marios Kounelis, Angelos Hliaoutakis, Eleni Koutsouraki, D. Kolovos, G. Giakas, E. Symeonaki, M. Papoutsidakis

{"title":"Commercially Available Sensor-based Monitoring and Support Systems in Parkinson's Disease: An Overview","authors":"D. Piromalis, Christos Kokkotis, Themistoklis Tsatalas, George Bellis, D. Tsaopoulos, P. Zikos, Nikos Tsotsolas, S. Pizanias, Marios Kounelis, Angelos Hliaoutakis, Eleni Koutsouraki, D. Kolovos, G. Giakas, E. Symeonaki, M. Papoutsidakis","doi":"10.1109/INDIACom51348.2021.00077","DOIUrl":"https://doi.org/10.1109/INDIACom51348.2021.00077","url":null,"abstract":"Parkinson's disease is a progressive neurodegenerative disorder correlating with dysfunction or deprivation of brains dopaminergic neurons, lack of dopamine, and the formation of abnormal protein particles. There are several clinical tests for detection of Parkinson's disease, but nowadays a demand is rising for an objective assessment of symptoms and health-related outcomes. The rapid development of sensor-based technological devices permits conducting measurements without bias that they are able to be used in scientific research and clinical practice. This paper provides a technical overview of the available commercial wearable systems for monitoring and supporting Parkinson's disease management, taking into account their validity and reliability. The understanding of the current state-of-the-art could help patients and clinicians significantly improve Parkinson's disease management by minimizing health care costs and increasing patient's quality of life.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130045005","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

GeoBD2: Geospatial Big Data Deduplication Scheme in Fog Assisted Cloud Computing Environment GeoBD2:雾辅助云计算环境下地理空间大数据重复数据删除方案

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00008

Rabindra Kumar Barik, S. Patra, Rasmita Patro, S. Mohanty, A. A. Hamad

{"title":"GeoBD2: Geospatial Big Data Deduplication Scheme in Fog Assisted Cloud Computing Environment","authors":"Rabindra Kumar Barik, S. Patra, Rasmita Patro, S. Mohanty, A. A. Hamad","doi":"10.1109/INDIACom51348.2021.00008","DOIUrl":"https://doi.org/10.1109/INDIACom51348.2021.00008","url":null,"abstract":"With the speedy expansion of Internet of Spatial Things, the enormous volume of geospatial big data is produced by the IoT devices. It gives rise to the new challenges for real time geospatial data processing and storing of reliable data in cloud system. The traditional geospatial cloud computing system is not efficient enough to process large volumetric of concurrent geospatial data. Consequently, fog assisted cloud computing environment has come into picture for achieving secure geospatial big data deduplication scheme. In this paper, we introduce a novel scheme GeoBD2 which defines the geo-deduplication structure to build an efficient geospatial bigdata deduplication scheme on fog assisted cloud computing framework. It also regulates which fog node needs to be traversed to investigate duplicate geospatial data rather than to traverse all the fog nodes. This can substantially enhance the efficiency of geospatial big data deduplication in fog assisted cloud environment. It also executes the performance analysis of the proposed scheme. By the experimental results, it is found that the proposed scheme has minimum overhead cost than the existing big data deduplication scheme.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130513658","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: 8

Double Steganography - New Algorithm for More Security 双重隐写术-提高安全性的新算法

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00064

Yazed Alsaawy, Adnan Ahmed Abi Sen, A. Alkhodre, N. Bahbouh, Nuha Abdulrazak Baghanim, Hajar Barrak Alharbi

{"title":"Double Steganography - New Algorithm for More Security","authors":"Yazed Alsaawy, Adnan Ahmed Abi Sen, A. Alkhodre, N. Bahbouh, Nuha Abdulrazak Baghanim, Hajar Barrak Alharbi","doi":"10.1109/INDIACom51348.2021.00064","DOIUrl":"https://doi.org/10.1109/INDIACom51348.2021.00064","url":null,"abstract":"The 9thand 20th centuries have given rise to great technologies and tools which are making our lives comfortable. In the field of technology and communications, we have billions of electronic services and applications. These technological developments and the unprecedented increase technology, applications and services combined, with the expansion and proliferation of the internet, have greatly increased the frequency of data transfer over the internet. Sharing data over the internet has become a de facto standard of data transfer. This has led to an increase in the vulnerability of data being hacked during its transfer from one port to another. On the other hand, the capabilities of malicious parties in breaking the methods of protection and disclosing confidential information has also advanced and increased tremendously. Thus, organizations and individuals are looking for ways to protect their data from being hacked while it is shared with third parties. Steganography is one of the most effective ways to protect information as it uses encryption algorithms and hides information in a way that prevents attention being drawn from hackers. This research presents a new algorithm in the field of Steganography to increase the level of protection. Compared with the earlier methods, it has a double effect of the Steganography process. We call it ‘Multi-Layered Steganography Algorithm’ (MLSA). We also provide the results of the implementation and testing of the MLSA, which indicate the effectiveness of MLSA according to the protection level and resistant to revealing attacks. But, in contrast, MLSA is suitable only for small sized data sets, and does not have adequate immunity to jamming or compressing data, which we shall study in future.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"101 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132386382","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

An Ensemble Learning Approach for the Detection of Depression and Mental Illness over Twitter Data 基于Twitter数据的抑郁和精神疾病检测的集成学习方法

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00100

Ananya Prakash, Kanika Agarwal, Shashank Shekhar, Tarun Mutreja, Partha Sarathi Chakraborty

引用次数: 3

A Comprehensive Study of Applying Object Detection Methods for Medical Image Analysis 目标检测方法在医学图像分析中的综合应用研究

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00147

Nilay Ganatra

{"title":"A Comprehensive Study of Applying Object Detection Methods for Medical Image Analysis","authors":"Nilay Ganatra","doi":"10.1109/INDIACom51348.2021.00147","DOIUrl":"https://doi.org/10.1109/INDIACom51348.2021.00147","url":null,"abstract":"Medical imaging is a widely accepted technique for the early detection and diagnosis of disease within digital health. It includes different techniques such as Magnetic resonance imaging (MRI), X-ray, positron emission tomography (PET) scan. Human experts mostly perform the analysis of these images. However, recent advancement in the field of computer-assisted interventions shows the promising results for medical image analysis. With the availability of enormous data, sophisticated algorithms, and high computation power, deep neural networks are highly effective for image analysis and interpretation tasks. Medical image analysis can be performed using the object detection method, where a convolutional neural network (CNN) eliminates the need for manual feature extraction. Object detection using CNN able to extract features directly from images and provides good accuracy. This paper exhibits a detailed survey on applications of different object detection methods available for medical image analysis. This paper discusses the different techniques, state-of-the-art datasets, tools, techniques available, and performance metrics. It also presents the work carried out by various researchers for applying object detection methods for medical image analysis.","PeriodicalId":415594,"journal":{"name":"2021 8th International Conference on Computing for Sustainable Global Development (INDIACom)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126012155","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: 5

Towards Analyzing Mobile App Characteristics for Mobile Software Development 面向移动软件开发的移动应用特性分析

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00141

A. Patidar, U. Suman

引用次数: 1

Comparative Analysis of Histograms of Oriented Gradients and Local Binary Pattern Coefficients for Facial Emotion Recognition 面向梯度直方图与局部二值模式系数在面部情绪识别中的比较分析

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00005

Swapna Subudhiray, H. Palo, N. Das, S. Mohanty

引用次数: 3

Depression Detection on Social Media with the Aid of Machine Learning Platform: A Comprehensive Survey 基于机器学习平台的社交媒体抑郁检测:一项综合调查

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00116

G. Gupta, D. Sharma

引用次数: 7

Depth First Search Approach with Multi-Variable Heuristic Function for Enhancing Routing Protocol in 802.11 Sensor Network 基于多变量启发式函数的深度优先搜索增强802.11传感器网络路由协议

2021 8th International Conference on Computing for Sustainable Global Development (INDIACom) Pub Date : 2021-03-17 DOI: 10.1109/INDIACom51348.2021.00108

Anand Madasamy

引用次数: 0