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Publication search results
found 106 matches
- 2024
- Syed Muhammad Salman Bukhari, Muhammad Hamza Zafar, Mohamad Abou Houran, Syed Kumayl Raza Moosavi, Majad Mansoor, Muhammad Muaaz, Filippo Sanfilippo:
Secure and privacy-preserving intrusion detection in wireless sensor networks: Federated learning with SCNN-Bi-LSTM for enhanced reliability. Ad Hoc Networks 155: 103407 (2024) - Jiawei Du, Kai Yang:
NIDS-FLGDP: Network Intrusion Detection Algorithm Based on Gaussian Differential Privacy Federated Learning. J. Circuits Syst. Comput. 33(3) (2024) - M. Ragul Vignesh, K. Srihari, S. Karthik:
Privacy-preserving intrusion detection in Internet of medical things neural networks using a novel recurrent U-Net auto-encoder algorithm for biomedical applications. J. Intell. Fuzzy Syst. 46(2): 4093-4104 (2024) - Shakil Ibne Ahsan, Phil Legg, S. M. Iftekharul Alam:
Privacy-Preserving Intrusion Detection in Software-defined VANET using Federated Learning with BERT. CoRR abs/2401.07343 (2024) - 2023
- Junzhou Li, Qianhui Sun, Feixian Sun:
Enhancing Privacy-Preserving Intrusion Detection in Blockchain-Based Networks with Deep Learning. Data Sci. J. 22 (2023) - Weifei Wu, Yanhui Zhang:
An efficient intrusion detection method using federated transfer learning and support vector machine with privacy-preserving. Intell. Data Anal. 27(4): 1121-1141 (2023) - Alberto Huertas Celdrán, Pedro Miguel Sánchez Sánchez, Chao Feng, Gérôme Bovet, Gregorio Martínez Pérez, Burkhard Stiller:
Privacy-Preserving and Syscall-Based Intrusion Detection System for IoT Spectrum Sensors Affected by Data Falsification Attacks. IEEE Internet Things J. 10(10): 8408-8415 (2023) - Vu Tuan Truong, Long Bao Le:
MetaCIDS: Privacy-Preserving Collaborative Intrusion Detection for Metaverse based on Blockchain and Online Federated Learning. IEEE Open J. Comput. Soc. 4: 253-266 (2023) - Florimond Houssiau, Piotr Sapiezynski, Laura Radaelli, Erez Shmueli, Yves-Alexandre de Montjoye:
Detrimental network effects in privacy: A graph-theoretic model for node-based intrusions. Patterns 4(1): 100662 (2023) - Ernest Ntizikira, Lei Wang, Fahad Alblehai, Kiran Saleem, Muhammad Ali Lodhi:
Secure and Privacy-Preserving Intrusion Detection and Prevention in the Internet of Unmanned Aerial Vehicles. Sensors 23(19): 8077 (2023) - Pedro Ruzafa Alcazar, Pablo Fernández Saura, Enrique Mármol Campos, Aurora González-Vidal, José Luis Hernández Ramos, Jorge Bernal Bernabé, Antonio F. Skarmeta:
Intrusion Detection Based on Privacy-Preserving Federated Learning for the Industrial IoT. IEEE Trans. Ind. Informatics 19(2): 1145-1154 (2023) - Paul Agbaje, Afia Anjum, Arkajyoti Mitra, Sena Hounsinou, Ebelechukwu Nwafor, Habeeb Olufowobi:
Privacy-Preserving Intrusion Detection System for Internet of Vehicles using Split Learning. BDCAT 2023: 07:1-07:8 - Hamideh Taslimasa, Sajjad Dadkhah, Euclides Carlos Pinto Neto, Pulei Xiong, Shahrear Iqbal, Suprio Ray, Ali A. Ghorbani:
ImageFed: Practical Privacy Preserving Intrusion Detection System for In-Vehicle CAN Bus Protocol. BigDataSecurity/HPSC/IDS 2023: 122-129 - Riadh Ben Chaabene, Darine Ameyed, Fehmi Jaafar, Alexis Roger, Esma Aïmeur, Mohamed Cheriet:
A Privacy-Preserving Federated Learning for IoT Intrusion Detection System. CoDIT 2023: 351-356 - Ioannis Siachos, Konstantinos Kaltakis, Konstantina Papachristopoulou, Ioannis Giannoulakis, Emmanouil Kafetzakis:
Comparison of Machine Learning Algorithms Trained Under Differential Privacy for Intrusion Detection Systems. CSR 2023: 654-658 - Derek Manwaring, Geetha Thamilarasu:
Defense Guild: A Privacy-preserving Intrusion Detection System for Healthcare Data in Cloud. FiCloud 2023: 52-57 - Hansaraj Shalikram Wankhede, R. Venkatesh, Sumit Pundir, Ravikiran Madala, Kamunuri Ganapathi Babu, Badepally Mallaiah:
Real-Time Innovation in Future Generation Security for Data Privacy Intrusion System in Machine Learning Approach. IC3I 2023: 1416-1421 - Chunduru Sri Abhijit, Rishav Himmatramka, Aum Shiva Rama Bishoyi, Lallith Prasath, T. Subbulakshmi:
Privacy-Preserving Network Intrusion Detection using Federated Learning. ICCCNT 2023: 1-6 - Vivian Ukamaka Ihekoronye, Dong-Seong Kim, Jae Min Lee:
Federated Learning with Differential Privacy for Intrusion Detection in Internet of Flying Things: A Robust Approach. ICTC 2023: 932-937 - Radjaa Bensaid, Nabila Labraoui, Haythem Bany Salameh:
Federated Deep Learning-based Intrusion Detection Approach for Enhancing Privacy in Fog-IoT Networks. IOTSMS 2023: 156-160 - (Withdrawn) RETRACTED ARTICLE: Security and privacy issue in multi-cloud accommodating Intrusion Detection System. Distributed Parallel Databases 41(1-2): 155 (2023)
- 2022
- D. Radha, M. G. Kavitha:
Deep Learning Enabled Privacy Preserving Techniques for Intrusion Detection Systems in the Industrial Internet of Things. Ad Hoc Sens. Wirel. Networks 52(3-4): 223-247 (2022) - K. Devi, Balaubramanian Muthusenthil:
Intrusion detection framework for securing privacy attack in cloud computing environment using DCCGAN-RFOA. Trans. Emerg. Telecommun. Technol. 33(9) (2022) - Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Joel J. P. C. Rodrigues:
AutoTrust: A privacy-enhanced trust-based intrusion detection approach for internet of smart things. Future Gener. Comput. Syst. 137: 288-301 (2022) - Yang Chen, Junzhe Zhang, Chai Kiat Yeo:
Privacy-preserving knowledge transfer for intrusion detection with federated deep autoencoding gaussian mixture model. Inf. Sci. 609: 1204-1220 (2022) - Chukwuebuka Ezelu, Ulrich Buehler:
Privacy-Preserving Collaborative Intrusion Detection Systems: A Federated Learning Framework. CSCI 2022: 1076-1079 - Pablo Fernández Saura, Juan Francisco Martínez Gil, Jorge Bernal Bernabé, Antonio F. Skarmeta:
Privacy-Preserving Cyber Threat Information Sharing Leveraging FL-Based Intrusion Detection in the Financial Sector. CyberSec4Europe 2022: 50-64 - Erik Miguel de Elias, Vinicius Sanches Carriel, Guilherme Werneck de Oliveira, Aldri Luiz dos Santos, Michele Nogueira, Roberto Hirata Junior, Daniel Macêdo Batista:
A Hybrid CNN-LSTM Model for IIoT Edge Privacy-Aware Intrusion Detection. LATINCOM 2022: 1-6 - Simin Li, Mu Han:
Priv-IDS: A Privacy Protection and Intrusion Detection Framework for In-Vehicle Network. ML4CS (2) 2022: 165-179 - 2021
- Izhar Ahmed Khan, Dechang Pi, Nasrullah Khan, Zaheer Ullah Khan, Yasir Hussain, Asif Nawaz, Farman Ali:
A privacy-conserving framework based intrusion detection method for detecting and recognizing malicious behaviours in cyber-physical power networks. Appl. Intell. 51(10): 7306-7321 (2021)
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