《Computer Systems Science & Engineering》

作品数:1312被引量:413H指数:5
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《Computer Systems Science & Engineering》
主办单位:Tech Science Press
最新期次:2024年6期更多>>
发文主题:MACHINE_LEARNINGUSINGCLASSIFICATIONBASED_ONDEEP更多>>
发文领域:自动化与计算机技术医药卫生电子电信理学更多>>
发文基金:国家自然科学基金中国博士后科学基金国家社会科学基金The Royal Society更多>>
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Improving Smart Home Security via MQTT: Maximizing Data Privacy and Device Authentication Using Elliptic Curve Cryptography
《Computer Systems Science & Engineering》2024年第6期1669-1697,共29页Zainatul Yushaniza Mohamed Yusoff Mohamad Khairi Ishak Lukman A.B.Rahim Mohd Shahrimie Mohd Asaari 
supported through Universiti Sains Malaysia(USM)and the Ministry of Higher Education Malaysia providing the research grant,Fundamental Research Grant Scheme(FRGS-Grant No.FRGS/1/2020/TK0/USM/02/1).
The rapid adoption of Internet of Things(IoT)technologies has introduced significant security challenges across the physical,network,and application layers,particularly with the widespread use of the Message Queue Tel...
关键词:Smart home CONFIDENTIALITY ECC SECURITY lightweight cryptography AUTHENTICATION integrity efficiency 
A Secure Blockchain-Based Vehicular Collision Avoidance Protocol: Detecting and Preventing Blackhole Attacks
《Computer Systems Science & Engineering》2024年第6期1699-1721,共23页Mosab Manaseer Maram Bani Younes 
This work aims to examine the vulnerabilities and threats in the applications of intelligent transport systems,especially collision avoidance protocols.It focuses on achieving the availability of network communication...
关键词:Vehicular networks blockchain collision avoidance protocol design security mechanisms 
SAR-LtYOLOv8:A Lightweight YOLOv8 Model for Small Object Detection in SAR Ship Images
《Computer Systems Science & Engineering》2024年第6期1723-1748,共26页Conghao Niu Dezhi Han Bing Han Zhongdai Wu 
supported by the Open Research Fund Program of State Key Laboratory of Maritime Technology and Safety in 2024;the National Natural Science Foundation of China(Grant No.52331012);the Natural Science Foundation of Shanghai(Grant No.21ZR1426500).
The high coverage and all-weather capabilities of Synthetic Aperture Radar(SAR)image ship detection make it a widely accepted method for maritime ship positioning and identification.However,SAR ship detection faces ch...
关键词:SAR ship detection MSCA deep learning 
Machine Learning-Driven Classification for Enhanced Rule Proposal Framework
《Computer Systems Science & Engineering》2024年第6期1749-1765,共17页B.Gomathi R.Manimegalai Srivatsan Santhanam Atreya Biswas 
In enterprise operations,maintaining manual rules for enterprise processes can be expensive,time-consuming,and dependent on specialized domain knowledge in that enterprise domain.Recently,rule-generation has been auto...
关键词:Classification and regression tree process automation rules engine model interpretability explainability model trust 
A Systematic Review of Automated Classification for Simple and Complex Query SQL on NoSQL Database
《Computer Systems Science & Engineering》2024年第6期1405-1435,共31页Nurhadi Rabiah Abdul Kadir Ely Salwana Mat Surin Mahidur R.Sarker 
supported by the Student Scheme provided by Universiti Kebangsaan Malaysia with the Code TAP-20558.
A data lake(DL),abbreviated as DL,denotes a vast reservoir or repository of data.It accumulates substantial volumes of data and employs advanced analytics to correlate data from diverse origins containing various form...
关键词:NoSQL database data lake machine learning ACID complex query smart city 
A Systematic Literature Review on Blockchain Consensus Mechanisms’ Security: Applications and Open Challenges
《Computer Systems Science & Engineering》2024年第6期1437-1481,共45页Muhammad Muntasir Yakubu Mohd Fadzil B Hassan Kamaluddeen Usman Danyaro Aisha Zahid Junejo Muhammed Siraj Saidu Yahaya Shamsuddeen Adamu Kamal Abdulsalam 
funded by Universiti Teknologi PETRONAS and grants(YUTP-PRG:015PBC-011).
This study conducts a systematic literature review(SLR)of blockchain consensus mechanisms,an essential protocols that maintain the integrity,reliability,and decentralization of distributed ledger networks.The aim is t...
关键词:Blockchain consensus mechanisms supply chain management proof of work(PoW) proof of stake(PoS) practical byzantine fault tolerance(PBFT) 
A Survey of Lung Nodules Detection and Classification from CT Scan Images
《Computer Systems Science & Engineering》2024年第6期1483-1511,共29页Salman Ahmed Fazli Subhan Mazliham Mohd Su’ud Muhammad Mansoor Alam Adil Waheed 
In the contemporary era,the death rate is increasing due to lung cancer.However,technology is continuously enhancing the quality of well-being.To improve the survival rate,radiologists rely on Computed Tomography(CT)s...
关键词:Lung nodules computed tomography scans lung cancer deep learning 
Software Reliability Prediction Using Ensemble Learning on Selected Features in Imbalanced and Balanced Datasets: A Review
《Computer Systems Science & Engineering》2024年第6期1513-1536,共24页Suneel Kumar Rath Madhusmita Sahu Shom Prasad Das Junali Jasmine Jena Chitralekha Jena Baseem Khan Ahmed Ali Pitshou Bokoro 
Redundancy,correlation,feature irrelevance,and missing samples are just a few problems that make it difficult to analyze software defect data.Additionally,it might be challenging to maintain an even distribution of da...
关键词:Ensemble classifier hybrid classifier software reliability prediction 
Performance Analysis of Machine Learning-Based Intrusion Detection with Hybrid Feature Selection
《Computer Systems Science & Engineering》2024年第6期1537-1555,共19页Mohammad Al-Omari Qasem Abu Al-Haija 
More businesses are deploying powerful Intrusion Detection Systems(IDS)to secure their data and physical assets.Improved cyber-attack detection and prevention in these systems requires machine learning(ML)approaches.T...
关键词:Machine learning CYBERSECURITY cyberattacks feature selection classification intrusion detection system 
Intelligent PID Control Method for Quadrotor UAV with Serial Humanoid Intelligence
《Computer Systems Science & Engineering》2024年第6期1557-1579,共23页Linlin Zhang Lvzhao Bai Jianshu Liang Zhiying Qin Yuejing Zhao 
supported by the Scientific Research Projects of Higher Education Institutions in Hebei Province(Grant No.QN2023188);the project of Hebei University of Science and Technology(Grant No.1200752).
Quadrotor unmanned aerial vehicles(UAVs)are widely used in inspection,agriculture,express delivery,and other fields owing to their low cost and high flexibility.However,the current UAV control system has shortcomings ...
关键词:Quadrotor UAV mathematical modeling PID controller humanoid intelligence 
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