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检索条件"机构=Faculty of Computing and Data Science"
1088 条 记 录,以下是221-230 订阅
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Analytical Study for Cyber Threat Intelligence (CTI)  7
Analytical Study for Cyber Threat Intelligence (CTI)
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7th IET Smart Cities Symposium, SCS 2023
作者: Alkhateeb, Ibrahim R. Al-Haija, Qasem Abu Abu-Soud, Saleh Dept. of Cybersecurity/ Data Science King Hussein School of Computing Sciences Prince Sumaya University for Technology P.O. Box 1438 Amman11941 Jordan Dept. of Cybersecurity Faculty of Computer & Information Technology Jordan University of Science and Technology P.O. Box 3030 Irbid22110 Jordan
Cyber Threat Intelligence (CTI) involves collecting and analyzing cyber security data using advanced algorithms and rigorous techniques to identify and address potential threats, harmful incidents, and existing vulner... 详细信息
来源: 评论
Unprecedented Smart Algorithm for Uninterrupted SDN Services During DDoS Attack
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Computers, Materials & Continua 2022年 第1期70卷 875-894页
作者: Muhammad Reazul Haque Saw Chin Tan Zulfadzli Yusoff Kashif Nisar Rizaludin Kaspin Iram Haider Sana Nisar J.P.C.Rodrigues Bhawani Shankar Chowdhry Muhammad AslamUqaili Satya Prasad Majumder Danda B.Rawat Richard Etengu Rajkumar Buyya Faculty of Computing&Informatics Multimedia UniversityPersiaranMultimediaCyberjaya63100SelangorMalaysia Faculty of Engineering Multimedia UniversityPersiaran MultimediaCyberjaya63100SelangorMalaysia Faculty of Computing and Informatics University Malaysia SabahJalan UMSKota Kinabalu Sabah88400Malaysia Telekom Malaysia Research&Development TM Innovation Centre63000CyberjayaSelangorMalaysia Federal University of Piauí(UFPI) TeresinaPIBrazil Instituto de Telecomunica珲es 6201-001Covilh?Portugal National Center of Robotics and Automation-Condition Monitoring Systems Lab MUETJamshoroPakistan Department of Electrical and Electronic Engineering BUETDhaka1205Bangladesh Department of Electrical Engineering and Computer Science Data Science and Cybersecurity CenterHoward UniversityWashingtonDCUSA Cloud Computing and Distributed Systems(CLOUDS)Laboratory School of Computing and Information SystemsThe University of MelbourneMelbourneVIC 3053Australia
In the design and planning of next-generation Internet of Things(IoT),telecommunication,and satellite communication systems,controller placement is crucial in software-defined networking(SDN).The programmability of th... 详细信息
来源: 评论
A Review on data Quality Dimensions for Big data
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Procedia Computer science 2024年 234卷 341-348页
作者: Fakhitah Ridzuan Wan Mohd Nazmee Wan Zainon Faculty of Data Science and Computing Universiti Malaysia Kelantan Pengkalan Chepa 16100 Kota Bharu Kelantan Institute for Artificial Intelligence & Big Data Universiti Malaysia Kelantan Pengkalan Chepa 16100 Kota Bharu Kelantan School of Computer Sciences Universiti Sains Malaysia 11800 Penang
Big data wave has led to a rapid increase in the amount of data being collected by organizations. While the accuracy and reliability of prediction models are often prioritized, the quality of the collected data is fre... 详细信息
来源: 评论
Privacy-aware data Fusion and Prediction for Smart City Services in Edge computing Environment  15
Privacy-aware Data Fusion and Prediction for Smart City Serv...
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2022 IEEE Congress on Cybermatics: 15th IEEE International Conferences on Internet of Things, iThings 2022, 18th IEEE International Conferences on Green computing and Communications, GreenCom 2022, 2022 IEEE International Conference on Cyber, Physical and Social computing, CPSCom 2022 and 8th IEEE International Conference on Smart data, Smartdata 2022
作者: Qi, Lianyong Chi, Xiaoxiao Zhou, Xiaokang Liu, Qi Dai, Fei Xu, Xiaolong Zhang, Xuyun School of Computer Science Qufu Normal University China Faculty of Data Science Shiga University Japan Riken Center for Advanced Intelligence Project Japan School of Computer and Software Nanjing University of Information Science and Technology China School of Big Data and Intelligence Engineering Southwest Forestry University China Department of Computing Macquarie University Australia
With fast development of Cyber Physical System, the variety and volume of data generated from different edge servers are fairly considerable. Mining and exploiting the data would definitely bring huge advantages. Howe... 详细信息
来源: 评论
LF-ViT: Reducing Spatial Redundancy in Vision Transformer for Efficient Image Recognition
arXiv
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arXiv 2024年
作者: Hu, Youbing Cheng, Yun Lu, Anqi Cao, Zhiqiang Wei, Dawei Liu, Jie Li, Zhijun AIoT Lab. Faculty of Computing Harbin Institute of Technology China Swiss Data Science Center Zurich Switzerland School of Cyber Engineering Xidian University China
The Vision Transformer (ViT) excels in accuracy when handling high-resolution images, yet it confronts the challenge of significant spatial redundancy, leading to increased computational and memory requirements. To ad... 详细信息
来源: 评论
Explaining Decision-Tree Predictions by Addressing Potential Conflicts between Predictions and Plausible Expectations  14
Explaining Decision-Tree Predictions by Addressing Potential...
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14th International Conference on Natural Language Generation, INLG 2021
作者: Maruf, Sameen Zukerman, Ingrid Reiter, Ehud Haffari, Gholamreza Dept. of Data Science and AI Faculty of IT Monash University VIC Australia Dept. of Computing Science University of Aberdeen United Kingdom
We offer an approach to explain Decision Tree (DT) predictions by addressing potential conflicts between aspects of these predictions and plausible expectations licensed by background information. We define four types... 详细信息
来源: 评论
Machine Unlearning Through Fine-Grained Model Parameters Perturbation
arXiv
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arXiv 2024年
作者: Zuo, Zhiwei Tang, Zhuo Li, Kenli Datta, Anwitaman College of Computer Science and Electronic Engineering Hunan University China College of Computing and Data Science Nanyang Technological University Singapore Shenzhen Research Institute Hunan University China Faculty of Computing Engineering & Media De Montfort University Leicester United Kingdom
Machine unlearning involves retracting data records and reducing their influence on trained models, aiding user privacy protection, at a significant computational cost potentially. Weight perturbation-based unlearning... 详细信息
来源: 评论
Efficient Federated Learning with Adaptive Channel Pruning for Edge Devices  19
Efficient Federated Learning with Adaptive Channel Pruning f...
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2022 IEEE SmartWorld, 19th IEEE International Conference on Ubiquitous Intelligence and computing, 2022 IEEE International Conference on Autonomous and Trusted Vehicles Conference, 22nd IEEE International Conference on Scalable computing and Communications, 2022 IEEE International Conference on Digital Twin, 8th IEEE International Conference on Privacy computing and 2022 IEEE International Conference on Metaverse, SmartWorld/UIC/ATC/ScalCom/DigitalTwin/PriComp/Metaverse 2022
作者: Jia, Yongzhe Zhang, Xuyun Liu, Bowen Dou, Wanchun Nanjing University State Key Laboratory for Novel Software Technology Department of Computer Science and Technology Nanjing China Shenzhen China Macquarie University Department of Computing SydneyNSW Australia Shiga University Faculty of Data Science Hikone Japan
Federated learning (FL) is an emerging machine learning paradigm that allows distributed participants to train a global model collaboratively. In edge networks, FL involves numerous edge devices updating the local mod... 详细信息
来源: 评论
Ensemble Deep Learning Based Air Pollution Prediction for Sustainable Smart Cities
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Computer Systems science & Engineering 2024年 第3期48卷 627-643页
作者: Maha Farouk Sabir Mahmoud Ragab Adil O.Khadidos Khaled H.Alyoubi Alaa O.Khadidos Information Systems Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Information Technology Department Faculty of Computing and Information Technology King Abdulaziz UniversityJeddah21589Saudi Arabia 3Department of MathematicsFaculty of ScienceAl-Azhar UniversityNaser CityCairo11884Egypt Center of Research Excellence in Artificial Intelligence and Data Science King Abdulaziz UniversityJeddahSaudi Arabia
Big data and information and communication technologies can be important to the effectiveness of smart *** on the maximal attention on smart city sustainability,developing data-driven smart cities is newly obtained at... 详细信息
来源: 评论
The Power of Bamboo: On the Post-Compromise Security for Searchable Symmetric Encryption  30
The Power of Bamboo: On the Post-Compromise Security for Sea...
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30th Annual Network and Distributed System Security Symposium, NDSS 2023
作者: Chen, Tianyang Xu, Peng Picek, Stjepan Luo, Bo Susilo, Willy Jin, Hai Liang, Kaitai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering China Cluster and Grid Computing Lab School of Computer Science and Technology China Huazhong University of Science and Technology Wuhan430074 China Digital Security Group Radboud University Nijmegen Netherlands Department of EECS Institute of Information Sciences The University of Kansas LawrenceKS United States Institute of Cybersecurity and Cryptology School of Computing and Information Technology University of Wollongong WollongongNSW2522 Australia Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft2628 CD Netherlands
Dynamic searchable symmetric encryption (DSSE) enables users to delegate the keyword search over dynamically updated encrypted databases to an honest-but-curious server without losing keyword privacy. This paper studi...
来源: 评论