2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)最新文献_第6页

IDCSNet: Intrusion Detection and Classification System using Unified Gradient-Boosted Decision Tree Classifier 基于统一梯度提升决策树分类器的入侵检测与分类系统

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029121

K. Mounika, Pallipamu Venkateswara Rao

{"title":"IDCSNet: Intrusion Detection and Classification System using Unified Gradient-Boosted Decision Tree Classifier","authors":"K. Mounika, Pallipamu Venkateswara Rao","doi":"10.1109/ICACRS55517.2022.10029121","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029121","url":null,"abstract":"An intrusion detection system (IDS) monitors network traffic for suspicious behavior and alerts the environment. It is software that checks a network or system for potentially dangerous behavior or policy violations. However, the conventional methods failed to detect the malicious activity, which resulted in false alarms. Moreover, the classification of IDS is also quite challenging. Therefore, this work implements an intrusion detection and classification system (IDCS) using a unified gradient-boosted decision tree (GBDT) classifier, hereafter named GBDT-IDS, with preprocessing and data balancing techniques. First, a preprocessing operation is carried out to eliminate the missing symbols, unknown characters, and special letters. Then, the synthetic minority oversampling technique (SMOTE) is used to balance the dataset, which equalizes all the samples of available classes in the dataset. In addition, the balanced dataset is trained with the GBDT-IDS classifier, where GBDT model performance is improved by extreme gradient boosting (XGBoost). Finally, the proposed GBDT-IDS model successfully classifies the denial-of-service (DoS), probe, remote to user (R2U), user to root (U2R) attacks, and normal attacks. The simulation results conducted on the Network Security Laboratory-Knowledge Discovery Databases (NSL-KDD) dataset show that the proposed GBDT-IDS system performs superiorly as compared to the state-of-the-art approaches of IDS.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"64 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":"125803377","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

A Randomized Dot Pattern Character Encoding Scheme (R-DPCES) for Steganography 用于隐写的随机点模式字符编码方案(R-DPCES)

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029242

Susmita Mahato

引用次数: 0

Equilibrium Optimizer with Deep Learning Model for Autism Spectral Disorder Classification 基于深度学习模型的自闭症谱系障碍分类平衡优化器

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029197

A. Praveena, N. Senthamilarasi, KARTHIK T S, Abirami S.K, Vijayakrishna Rapaka E, Shyamali Das

{"title":"Equilibrium Optimizer with Deep Learning Model for Autism Spectral Disorder Classification","authors":"A. Praveena, N. Senthamilarasi, KARTHIK T S, Abirami S.K, Vijayakrishna Rapaka E, Shyamali Das","doi":"10.1109/ICACRS55517.2022.10029197","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029197","url":null,"abstract":"Autism Spectrum Disorder (ASD) is a developing disorder if the symptoms develop obvious in the initial years of age but it could be present in some age groups. ASD is mental health problem that affects communicational, social, and non-verbal performances. It could not be cured entirely but is decreased when identified initially. The primary analysis was hampered by the difference and severity of ASD symptoms and containing symptoms usually realized in other mental health problems as well. With the application of machine learning (ML) for the predictive and recognition of several diseases with optimum accuracy, a ray of hope to initial recognition of ASD dependent upon many physiological and physical parameters is projected. This article designs an Equilibrium Optimizer with Deep Learning Model for Autism Spectral Disorder Classification (EODL-ASDC) technique. The presented EODL-ASDC technique mainly focuses on the identification and classification of ASD. To attain this, the presented EODL-ASDC technique exploits the deep belief network (DBN) system to perform the classification procedure. In addition, the EO algorithm is employed for the optimal hyperparameter tuning of the DBN approach. To demonstrate the enhanced ASD classification result of the EODL-ASDC approach, an extensive range of experimental evaluates was executed. The experimental results demonstrate the improvements of the EODL-ASDC technique over other approaches.","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":"126046093","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

DWT Algorithm for Macro & Micro Block based Multiple Histogram Shifting for Video Data Hiding 基于宏微块的多重直方图偏移的DWT算法用于视频数据隐藏

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029082

K. Venkata Ramana, C. Sowntharya, K. Jithesh, P. Lokeshwara Reddy, M. C. Apoorva, Ashok Kumar

{"title":"DWT Algorithm for Macro & Micro Block based Multiple Histogram Shifting for Video Data Hiding","authors":"K. Venkata Ramana, C. Sowntharya, K. Jithesh, P. Lokeshwara Reddy, M. C. Apoorva, Ashok Kumar","doi":"10.1109/ICACRS55517.2022.10029082","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029082","url":null,"abstract":"With the help of video compression and compressive sensing technology, this study demonstrates how to conceal data. Video data was concealed using a linear sensing technique for greater quality. By reducing changes across pixels to obtain discrete micro-block features while keeping their statistical properties, micro-block residuals can be assessed using CS. In order to create many histograms, micro blocks with related features are grouped together using CS. The seamless integration of data into video is the project’s main objective. The picture quality ratio and PSNR rate of the image are improved using this method. This method uses a micro-block-based approach to increase PSNR and improve security. In order to eliminate shifting distortions, data embedding is used on each of these histograms to extend the outermost bins while maintaining the size of the inner bins. Numerous RDH strategies based on multiple HS (MHS) based on spatial correlations of multimedia are offered to protect copyright, in which several histograms are constructed using some strict criteria. Compared to photographs, video has more three-dimensional and temporal linkages, and it’s simple to obtain histograms with greater clarity. Reduced embedding distortions enable lossless restoration of the cover thanks to the reversible data hiding (RDH) technology. Histogram shifting is one RDH strategy that is widely employed (HS).","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":"126662893","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

Analyzing the Effects of Electric Mobility Charging Harmonics on Power Grid 电动汽车充电谐波对电网的影响分析

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029211

Nishant Sharma, Akshay Dhiman, O. P. Rahi

引用次数: 0

Microstrip Patch Antenna Simulation for Cranial Implant 颅骨种植体微带贴片天线仿真

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029023

K. Keerthiga, M. Najira Banu, K. Jayabharathy

引用次数: 1

A Machine Learning based Approach for Breast Cancer Prediction 基于机器学习的乳腺癌预测方法

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029256

Mayank Agrawal, Vinod Jain

引用次数: 0

A Review of Dynamic Wireless Power Transfer System Technology used in Solar Wireless Electric Vehicle Charging Stations 太阳能无线电动汽车充电站动态无线电力传输系统技术综述

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029261

V. K, M. B, R. R, S. D, Sathish S

引用次数: 1

Indian Agriculture Supply Chain Management using Blockchain Technology and CNN 使用区块链技术和CNN的印度农业供应链管理

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029298

D. Indira, M. H. Reddy, G. Jyothi, K. Rohith, K. Sravya, G. Jahnavi

{"title":"Indian Agriculture Supply Chain Management using Blockchain Technology and CNN","authors":"D. Indira, M. H. Reddy, G. Jyothi, K. Rohith, K. Sravya, G. Jahnavi","doi":"10.1109/ICACRS55517.2022.10029298","DOIUrl":"https://doi.org/10.1109/ICACRS55517.2022.10029298","url":null,"abstract":"India is a key player in the global food production industry. Indians have been cultivating land since the Indus Valley Civilization. Although historically significant, this country’s farmers are starving to death while their counterparts in other countries receive the benefits of their labour to the tune of billions. Lack of proper supply chain management is a contributing factor. It’s common knowledge that poorly cared-for farming machinery quickly deteriorates. However, current methods of supply chain management do not enable farmers to track the whereabouts of their commodities, even though the government supplies them with storage facilities. Since no system is in place, they have no idea where their packages are at any one time during the shipping process. Therefore, there is a need for more stringent supply chain management, including checks at each level and double-checking by farmers and government officials to ensure the integrity of goods. This study suggests implementing Blockchain technology, which allows for more transparent information on the status of commodities, to enhance the relationship between producers and consumers. By recording this information on the blockchain, all of the farmers and government employees involved in the shipping process can stay apprised of the operation’s finer points. Records can be kept forever in an immutable format.","PeriodicalId":407202,"journal":{"name":"2022 International Conference on Automation, Computing and Renewable Systems (ICACRS)","volume":"28 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":"123477725","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

Design and Security Analysis of Isoidentity based Isobeta Cryptosystem 基于等同一性的等beta密码系统设计与安全性分析

2022 International Conference on Automation, Computing and Renewable Systems (ICACRS) Pub Date : 2022-12-13 DOI: 10.1109/ICACRS55517.2022.10029185

Nilesh P. Bhosale, R. Pohane, Siddhant Meshram, A. Meshram, Malabika Adak, K. Vishnuvardhan Reddy

引用次数: 0