2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)最新文献_第8页

Data Privatization and Security using Bit Plane Complexity Segmentation 使用位平面复杂度分割的数据私有化和安全性

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029213

Suresh Kumar S, Chidambaram G, S. Vijayalakshmi

{"title":"Data Privatization and Security using Bit Plane Complexity Segmentation","authors":"Suresh Kumar S, Chidambaram G, S. Vijayalakshmi","doi":"10.1109/ICACRS55517.2022.10029213","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029213","url":null,"abstract":"Advances in digital communication play an important role in our daily lives in today’s world. In general, information security systems fall into two categories: encryption and information hiding. The storage and transmission of sensitive personal data have become a part of everyday life for professional and personal well-being. Therefore, the issue of secure storage and transmission of confidential information is interest to many researchers. Steganography is a collective method to hide sensitive data in unobtrusive digital media such as video, audio, and images. One of the biggest challenges in developing steganography systems is finding the right balance between metrices like reliability, security, and data privacy. This project provides information about how the Bit Plane Complexity Steganography (BPCS) technology is applied to both grayscale and color imaging techniques and assesses performance parameters such as data concealment, security and stability based on the peak signal-to-noise ratio (PSNR) and Mean Square Error (MSE) with various test cases to explain how it works for different files and images.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"86 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115150552","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

An Automated Coronary Artery Disease Diagnosis System using Machine Learning 基于机器学习的冠状动脉疾病自动诊断系统

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029195

Kanwarpartap Singh Gill, Avinash Sharma, Vatsala Anand, Sheifali Gupta

引用次数: 1

Architectural Designs and Performance Analysis of Adiabatic-based 6T, 9T, and 12T SRAM Cells 基于绝热的6T、9T和12T SRAM单元的架构设计和性能分析

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10028989

Parvathi M

引用次数: 0

Identifying Patterns in Common Vulnerabilities and Exposures Databases with Exploratory Data Analysis 用探索性数据分析识别常见漏洞和暴露数据库中的模式

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029077

Atul Kumar, Ishu Sharma

{"title":"Identifying Patterns in Common Vulnerabilities and Exposures Databases with Exploratory Data Analysis","authors":"Atul Kumar, Ishu Sharma","doi":"10.1109/ICACRS55517.2022.10029077","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029077","url":null,"abstract":"Cybersecurity threats are targeted by unauthorized users for data stealing, manipulation, harming the reputation of another organization, and damaging the information system. A standardized record of Vulnerability is maintained in National Vulnerability Database that is accessible to the community. Each reported security flaw’s detail can be fetched through Common Vulnerability and Exposures ID. This database is recorded for more than a decade and the detailed analysis of the reported security flaws helps network administrators and security professionals to enhance the cybersecurity practices in an organization. The manual study of the vulnerability database is a challenging task and the threat alert tools provide an automatic method of fetching the vulnerability records from the central database. Threat Intelligence is an evolving field where comprehensive analysis can be generated using artificial intelligence methodologies with previous data records. Before applying any machine learning approach to a vulnerability database for threat intelligence, it is necessary to perform exploratory data analysis of the recorded security flaws. In this paper, the authors extracted the recent vulnerability data from the national vulnerability database and performed exploratory data analysis to understand the trends in reported Common Vulnerability and Exposures to frame the future directions for threat intelligence solutions. This experimental study helps in identifying the main attributes of artificial intelligence-based threat alert generation solutions.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125560945","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

Dynamic Pagerank Frequent Subgraph Mining by GraphX in the Distributed System 分布式系统中基于GraphX的动态网页排名频繁子图挖掘

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029025

S. Priyadarshini, S. Rodda

{"title":"Dynamic Pagerank Frequent Subgraph Mining by GraphX in the Distributed System","authors":"S. Priyadarshini, S. Rodda","doi":"10.1109/ICACRS55517.2022.10029025","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029025","url":null,"abstract":"Graph Mining has been the most demanding research area for the last few decades in different fields, such as biological networks, the world wide web, mobile applications, sensors, online, social networks, etc. Frequent Subgraph Mining (FSM) plays a vital role in Graph Mining to exercise, study and generate interesting patterns from graph data. Basically, FSM techniques are classified into two types such as an apriori-based method, and a pattern growth-based method. This technique faces the problems such as the generation of the duplicate frequent subgraph, having no proper technique to rank during candidate generation, and how to map the threshold values. In this proposed system, a Dynamic PageRank GraphX- based Frequent Subgraph Mining (DPRGFSM) model that is able to extract interesting patterns from the distributed system by eliminating duplicates by ranking them to the proper level. In addition, we also use load balancing, pre-punning, and optimization techniques to improve its performance in both memory requirements and time complexity. The potency of methods defined in this paper is evaluated rigorously with different threshold values and comparative studies with different parameters with existing Spark- based Single Graph Mining (SSIGRAM) and A Ranked Frequent pattern Growth Framework (A- RAFF) and found drastic improvement with all four datasets. The proposed methodology is 1.6 times faster than the Spark-based Single Graph Mining (SSIGRAM) model and 50 times faster than the A Ranked Frequent pattern Growth Framework (A- RAFF) for recurrent subgraph extraction.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125592778","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

Comparison of Machine Learning Algorithms for Pigment Epithelial Detachment Classification using Shape and Curvature Features 基于形状和曲率特征的色素上皮脱离分类的机器学习算法比较

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029028

T. M. Sheeba, S. Raj, M. Anand

引用次数: 0

Implementing BeagleBone Black as a Single Board Computer by Transferring E-mail using SMTP 通过使用SMTP传输电子邮件实现BeagleBone Black作为单板计算机

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029224

Dharshini S, Haneesh T, Venugopal E, R. S, S. M, P. Sivakumar

引用次数: 0

Performance Improvement of 16 Bus System using Hybrid Power Flow Controller 混合潮流控制器对16总线系统性能的改进

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029013

S. Hemalatha, S. Gomathi, S. Devikala, C. Naresh, M. Gnanaprakash, M. Senthil Murugan

{"title":"Performance Improvement of 16 Bus System using Hybrid Power Flow Controller","authors":"S. Hemalatha, S. Gomathi, S. Devikala, C. Naresh, M. Gnanaprakash, M. Senthil Murugan","doi":"10.1109/ICACRS55517.2022.10029013","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029013","url":null,"abstract":"The Hybrid Power Flow Controller, also known as an HPFC, is an appealing FACTS device that can be placed between the sending end and the receiving end. The appropriate Reboots converter between the solar energy system, the battery system, and the capacitor of the HPFC. The voltage sag compensation and improvement of the dynamic response in a 16-bus system using a hybrid power flow controller are the subjects of this work (HPFC). The Dynamic Voltage Regulator (DVR) and the Active Filter are both components that are included in the High-Performance Flexible Coupler (HPFC) system (AF). The 16-Bus systems with and without HPFC are modeled and simulated using the blocks of MATLAB. It has been observed that the incorporation of HPFC results in an increase in both the real and reactive power that is supplied to the load. The HPFC system has a number of benefits, including the capability to compensate for voltage sag and a reduction in loss. In the current work, the High-Power Frequency Converter (HPFC) is proposed to improve the Power Quality of a 16-bussystem.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120995288","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

A Multicore ECU-Based Automotive Software Domain Combining Runnable Sequencing and Task Scheduling 结合可运行排序和任务调度的多核ecu汽车软件领域

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029084

K. SuganyaDevi, V. Nandhalal, N. Thiyagarajan, S. Dhanasekaran

{"title":"A Multicore ECU-Based Automotive Software Domain Combining Runnable Sequencing and Task Scheduling","authors":"K. SuganyaDevi, V. Nandhalal, N. Thiyagarajan, S. Dhanasekaran","doi":"10.1109/ICACRS55517.2022.10029084","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029084","url":null,"abstract":"Research on multicore architecture for automotive safety applications is the aim of the ECU group in order to adhere to strict speed and reliability requirements for real-time embedded systems. The architectural methodology used by the automobile industry to create car electronics systems has to be changed. by incorporating more functionalities into a smaller number of ECUs (Electronic Control Unit). In Software applications, the design, improvement, and substantiation are more complex due to these new characteristics. As a result, producers in the automotive sector need effective tools and design approaches to meet their objectives in a variety of areas. With the intention of uniformly distribute the CPU burden with respect to time, the challenge of sequencing an unlimited number of runnables on a finite number of different cores are addressed in this work. Additionally, for both synchronous and asynchronous workloads, runnables offset will be calculated issued on each core using the Engine RPM. Furthermore, it effectively exploiting Intertask communication between many Multicore ECUs to speed up the many runnables execution. In order to overcome timing constraints on run time, the TIMMO-2-USE (TIMing MOdel - TOols, Languages, Algorithms, USE Cases, and Methodology) project is really putting its actual research on time modeling and analysis for embedded automotive systems to use.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"131 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127643374","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

Effective Intrusion Detection and Classification using Fuzzy Rule based Classifier in Cloud Environment 云环境下基于模糊规则分类器的入侵检测与分类

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10028988

C. Veena, S. Ramalakshmi, V. Bhoopathy, M. Bhosale, C. Magadum, A. K

{"title":"Effective Intrusion Detection and Classification using Fuzzy Rule based Classifier in Cloud Environment","authors":"C. Veena, S. Ramalakshmi, V. Bhoopathy, M. Bhosale, C. Magadum, A. K","doi":"10.1109/ICACRS55517.2022.10028988","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10028988","url":null,"abstract":"Cloud computing (CC) is the demonstration of the technology that makes use of the substructure for computing in a proficient fashion. This sort of computing offers great quantity of consequences in augmenting the productivity that verifies the risk handling management and decreases the cost. Intrusion detection system (IDS) is widely applied for detecting malicious actions in its host and the communication network. IDS is a procedure of discovering activities that take place in a network and attempts to fulfill the confidentiality, network, or security accessibility to smear the trust procedure. This article introduces an Effective Intrusion Detection and Classification using Fuzzy Rule based Classifier (EIDC-FRC) model in Cloud Environment. The goal of the presented EIDC-FRC model is to determine the occurrence of intrusions and normal data traffic in the cloud environment. In order to achieve this, the presented EIDC-FRC model applies FRC for data classification process. The parameter tuning of the FRC model is performed using enhanced bird swarm algorithm (EBSA). The FRC is an effective model in pattern recognition that offers effective outcomes by the use of linguistic labels in the antecedents of the rules. The simulation analysis of the EIDC-FRC model ensured the enhancements of the presented approach compared to recent state of art approaches.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121928635","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