2022 IEEE International Conference on Computing (ICOCO)最新文献_第5页

A Review of Deep Learning-Based Detection Methods for Tuberculosis 基于深度学习的结核病检测方法综述

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031813

Ding Zeyu, R. Yaakob, A. Azman

引用次数: 1

Classification of Unhealthy Chicken based on Chromaticity of the Comb 基于鸡冠色度的不健康鸡的分类

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031812

Mohd Anif A. A. Bakar, P. Ker, S. G. H. Tang, H. J. Lee, Biddatul Syirat Zainal

{"title":"Classification of Unhealthy Chicken based on Chromaticity of the Comb","authors":"Mohd Anif A. A. Bakar, P. Ker, S. G. H. Tang, H. J. Lee, Biddatul Syirat Zainal","doi":"10.1109/ICOCO56118.2022.10031812","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031812","url":null,"abstract":"Human observation and laboratory tests are the traditional method for identifying bacteria- or virus-infected chicken, but these methods may result in late detection. Major disease outbreaks may occur, leading to significant economic loss and threatening human health. Therefore, this paper reports on the utilization of a supervised machine learning algorithm to provide early detection of bacteria- or virus-infected chickens based on their comb’s colour feature. Current work utilizes a well-established, International Commission on Illumination (CIE) XYZ colour space to investigate the change in the colour of the infected and healthy chicken comb. A logistic regression model was developed and proposed to classify the chickens, and the performance of the model was revealed. The chromaticity analysis shows that the comb chromaticity of the infected chicken was changing from the red to green part, based on the x chromaticity value. The performance of the proposed model indicates that this algorithm can classify between infected and healthy chickens with 100% sensitivity and 83% specificity. This work has demonstrated a new feature that can serve as an indicator for detecting bacteriaor virus-infected chickens, and contributes to the development of modern technology in agriculture applications.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117245185","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: 4

Hydrocarbon Flow Metering Prediction using MLP and LSTM Neural Networks 基于MLP和LSTM神经网络的油气流量预测

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031800

Desmond Goh Kai Hong, S. B. Hisham, N. Yahya

引用次数: 0

An Adaptive Method For Selecting Cluster Head Using Analytical Hierarchy Process(Ahp) 基于层次分析法的簇头自适应选择方法

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031954

Nor Azimah Khalid, Nadhirah Mohammad Anuar, N. M. Noor

{"title":"An Adaptive Method For Selecting Cluster Head Using Analytical Hierarchy Process(Ahp)","authors":"Nor Azimah Khalid, Nadhirah Mohammad Anuar, N. M. Noor","doi":"10.1109/ICOCO56118.2022.10031954","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031954","url":null,"abstract":"Nowadays, Wireless Sensor Network had made a major contribution to surveillance, target tracking and healthcare. Due to the nature of its complex functions in sensing and monitoring the environment at a diverse area, energy efficiency is one of the primary objectives that need to be considered to prolong the network lifetime. Cluster based is one the most common use and suitable protocol in enhancing energy efficiency in WSN. However, an efficient cluster head (CH) selection mechanism is still needed to ensure that the most appropriate CH is selected. Selecting CH based on single criteria could lead to inappropriate decision. Thus, a holistic view of the CH considering multiple criteria is more promising. Four criteria were considered for the CH selection in our approach; number of neighbour nodes (NNN), residual energy (RE), initial energy (IE) and distance of nodes to base station (DTBS). In this paper, we demonstrate that the use of Analytic Hierarchy Process (AHP) helps in CH selection better and we managed to identify the distance as the important criteria in the selection of CH.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125285481","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

A Review of Machine Learning Botnet Detection Techniques based on Network Traffic Log 基于网络流量日志的机器学习僵尸网络检测技术综述

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031803

Z. Ibrahim, R. Razali, Saiful Adli Ismail, Iman Hakimi Khairil Azhar, Fiza Abdul Rahim, Ahmad Muzafaraidil Ahmad Azilan

{"title":"A Review of Machine Learning Botnet Detection Techniques based on Network Traffic Log","authors":"Z. Ibrahim, R. Razali, Saiful Adli Ismail, Iman Hakimi Khairil Azhar, Fiza Abdul Rahim, Ahmad Muzafaraidil Ahmad Azilan","doi":"10.1109/ICOCO56118.2022.10031803","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031803","url":null,"abstract":"Cyber-attacks are a common issue in this modern era because of the introduction of high-speed networks and the use of new technologies like Internet of Things (IoT) devices, which fuel the rapid expansion of cyber-attack. One of the common cyber-attacks is botnet attacks. Hackers use botnet attacks to exploit newly discovered vulnerabilities in order to conduct intensive scraping, distributed denial of service (DDoS) attacks, and other large-scale cybercrime. With their adaptable and dynamic character, botnets work with a botmaster to plan their activities, modify their codes, and update the bots regularly to avoid detection. Researchers use numerous techniques to detect the botnet. However, botmasters nowadays have improved due to avoiding security in detection. As the communication can leave traces that allow researchers to detect the botnet’s existence, this paper will review 15 related works on botnet detection that utilize machine learning to predict the botnet communication with the command-and-control (C&C or C2) center based on the network traffic log. This paper summarizes the related works based on the dataset, environment, botnet type, features employed, and machine learning techniques.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"70 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128560544","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

Internet Of Things Smart Food Bank System 物联网智能食物银行系统

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031964

Mohamad Haidil Bin Idris, Mohamad Johan Ahmad Khiri, N. Jali, N. Annuar

引用次数: 0

Protection of Data in Edge and Cloud Computing 边缘和云计算中的数据保护

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031744

M. Ati, Reem Al Bostami

{"title":"Protection of Data in Edge and Cloud Computing","authors":"M. Ati, Reem Al Bostami","doi":"10.1109/ICOCO56118.2022.10031744","DOIUrl":"https://doi.org/10.1109/ICOCO56118.2022.10031744","url":null,"abstract":"The massive growth of IoT and the rise of inventions in this field have led people to depend heavily on those technologies. This change has directed users to place their data, whether it is confidential or not, in specific storage known as the cloud. Cloud Computing enables users to save their data in the cloud. When IoT devices started generating large amounts of data, known as Big Data, the cloud couldn’t handle them due to its limited bandwidth and resources, so storing the data was moved to the endpoints of the network replacing cloud computing with edge computing. Edge computing allows users to store the data at the edge of the network. This is a promising technology now as it provides the best features of real-time and parallel processing and content perception. However, just like cloud computing the security of edge computing has risen a lot of concerns. Cloud security and Edge security have the most crucial concepts that gather data to process. Several security frameworks for cloud and edge computing have been discussed and invented. In our paper, we discuss the different challenges and solutions to said frameworks. We also compare the old and new frameworks of security according to their security encryption methods, confidentiality handling of data, and splitting of data through the packets.","PeriodicalId":319652,"journal":{"name":"2022 IEEE International Conference on Computing (ICOCO)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121525198","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

Applications of IoT and Blockchain in Smart Agriculture: Architectures and Challenges 物联网和区块链在智慧农业中的应用:架构和挑战

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10031697

Mohamed Rawidean Mohd Kassim

引用次数: 2

Child Growth Indicator Web App 儿童成长指标Web应用程序

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10032039

Noor Latiffah Adam, Khairunnisa Mohamed Rashdan, H. M. Hanum, N. Kamal

引用次数: 0

Energy And Congestion Awareness Traffic Scheduling In Hybrid Software-Defined Network 混合软件定义网络中的能量和拥塞感知交通调度

2022 IEEE International Conference on Computing (ICOCO) Pub Date : 2022-11-14 DOI: 10.1109/ICOCO56118.2022.10032016

C. Lim, S. C. Tan, N. Q. Baderulhisham

引用次数: 0