2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)最新文献

Block Level Data-Deduplication and Security Using Convergent Encryption to Offer Proof of Verification 块级重复数据删除和使用聚合加密提供验证证明的安全性

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9143055

B. T. Reddy, P. Kiran, T. Priyanandan, CH. Vikas Chowdary, B. Aditya

引用次数: 3

Feature Selection and Evaluation of Permission-based Android Malware Detection 基于权限的Android恶意软件检测特征选择与评估

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142929

S. K, S. Chakravarty, Ravi Kiran Varma Penmatsa

{"title":"Feature Selection and Evaluation of Permission-based Android Malware Detection","authors":"S. K, S. Chakravarty, Ravi Kiran Varma Penmatsa","doi":"10.1109/ICOEI48184.2020.9142929","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142929","url":null,"abstract":"Android malware is a ubiquitous threat to the information security of mobile users. Android users often download applications from unauthorized and untrusted sources. Such applications may request several permissions from the user, and due to unawareness, the user may grant the required permissions. Android permissions are one of the significant sources of malware infection. By analyzing the permissions database classification of malware and benign applications can be done with the help of machine learning tools. There are a total of 330 permissions in Android applications. However, all of them may not contribute to the classification. In this paper, the proposed system investigates identifying the most influential permissions using feature reduction. The gain ratio is used for feature reduction and J48, Random Committee, Multilayer Perceptron, Sequential Minimal Optimization (SMO), and Randomizable filtered classifiers are used for evaluation of the selected features. The experimentation results show that five permissions can produce near full feature accuracy, thereby optimizing the malware detection system.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"12 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":"125078835","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: 10

Removing Dust By Metacrawler 通过Metacrawler清除灰尘

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142922

Smita Deshmukh, Priti Chittekar

引用次数: 1

Aadhar Card Verification Base Online Polling Aadhar卡验证基地在线投票

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142965

Chitwan Varma, D. Rahul, Jithina Jose, B. Samhitha, Suja Cherukullapurath Mana

{"title":"Aadhar Card Verification Base Online Polling","authors":"Chitwan Varma, D. Rahul, Jithina Jose, B. Samhitha, Suja Cherukullapurath Mana","doi":"10.1109/ICOEI48184.2020.9142965","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142965","url":null,"abstract":"Currently, bogus voting in elections is remaining as a serious issue. The question of casting a ballot as far as health and protection are concerned is still important. The undertaking is primarily planned for giving a most verified and easy to understand Online Election System. An online political decision system is a voting system. In Traditional political race condition casting a ballot procedure now and again become very badly designed because of the reluctances of specific voters to visit a surveying stall to cast casts a ballot other than including tremendous social and HR. This paper manages the development and progress of an electronic voting system using distributed computing and aadhar card to provide the voting system with a superior with high security. Additionally, web innovation is used to make the voting system reasonable. The Internet surveying system is the system that empowers the client to cast a ballot on the web. In particular, the Voting system comprised of server administrations which are each connected with a database for putting away persevering information. Voters can likewise utilize the administrations to sign into the electronic voting system site. The field official will send the voter data and their voting's and that data will be kept up by creator card check. Administrators will keep up all data concerning voter and tallies consequently their deciding in favor offs their chosen gatherings.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"34 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":"125562210","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: 7

A Novel Approach for Prediction of Air Pollutant Concentration 一种新的大气污染物浓度预测方法

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142907

Deepthi Lr, Amruta Cg, Devika Krishnan, Roshini S Kumar, Sourav S

引用次数: 2

A Comparative Study of Early Detection of Parkinson's Disease using Machine Learning Techniques 使用机器学习技术早期检测帕金森病的比较研究

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142956

Shail Raval, Rahil Balar, Vibha Patel

{"title":"A Comparative Study of Early Detection of Parkinson's Disease using Machine Learning Techniques","authors":"Shail Raval, Rahil Balar, Vibha Patel","doi":"10.1109/ICOEI48184.2020.9142956","DOIUrl":"https://doi.org/10.1109/ICOEI48184.2020.9142956","url":null,"abstract":"Parkinson's Disease (PD) is considered a malison for mankind for several decades. Its detection with the help of an automated system is a subject undergoing intense study. This entails a need for incorporating a machine learning model for the early detection of PD. For discovering a full proof model, the cardinal prerequisite is to study the existing computational intelligent techniques in the field of research used for PD detection. Many existing models focus on singular modality or have a cursory analysis of multiple modalities. This encouraged us to provide a comparative literature study of four main modalities signifying major symptoms used for early detection of PD, namely, tremor at rest, bradykinesia, rigidity, and, voice impairment. State- of-the-art machine learning implementations namely Logistic Regression (LR), Support Vector Machine (SVM), Decision Tree (DT), K-nearest neighbors (KNN), Stochastic Gradient Descent (SGD) and Gaussian Naive Bayes (GNB) are executed in these modalities with their respective datasets. Furthermore, ensemble approaches such as Random Forest Classifier (RF), Adaptive Boosting (AB) and Hard Voting (HV) are implemented. Our results are compared with those obtained with their respective researches. Among all the tests, applying Random Forest (RF) on Static Spiral Test (for detecting tremor) gave us the most significant result, i.e. the highest accuracy of 99.79%. This leads to the conclusion that the multimodal approach with the help of the ensemble method should be used to get better and accurate results.","PeriodicalId":267795,"journal":{"name":"2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184)","volume":"280 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":"115216246","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: 10

AI-IoT based Smart Pill Expert System 基于AI-IoT的智能药丸专家系统

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142946

Joshua Ernest Pedi Reddy, A. Chavan

引用次数: 2

Electricity Demand Forecasting Using Differential Evolution Algorithm for Tamil Nadu 基于差分进化算法的泰米尔纳德邦电力需求预测

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142872

S. Amosedinakaran, K. Mala, A. Bhuvanesh, P. Marishkumar

引用次数: 3

MSE and BER Analysis of OFDM in Rician Channel 正交频分复用信道的MSE和BER分析

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142941

Chaitanya Anudeep Origanti, A. K., P. S, Chigurupati Naveen, Madhavarapu Srinivasa Sai Bhargav

引用次数: 2

Implementing Vehicle Black Box System by IoT based approach 基于物联网的车辆黑匣子系统实现

2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184) Pub Date : 2020-06-01 DOI: 10.1109/ICOEI48184.2020.9142906

S. Sethuraman, S. Santhanalakshmi

引用次数: 7