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DDoS reflection attack based on IoT: A case study
Údaje o názve DDoS reflection attack based on IoT: A case study / aut. Marek Šimon, L Huraj, Tibor Horák Záhlavie-meno Šimon, Marek (Autor) Ďal.zodpovednosť Huraj, L. (Autor) Horák, Tibor Z3 (Autor) - MTF Ústav aplikovanej informatiky, automatizácie a mechatroniky In Cybernetics and Algorithms in Intelligent Systems / Silhavy, Radek. -- Cham : Springer, 2019. -- ISBN 978-3-319-91191-5. -- ISSN 2194-5357. -- s.44-52 Predmet.heslá computer graphics intelligent system Software Engineering Jazyk dok. angličtina Druh dok. RZB - článok zo zborníka Kategória AFC - Publikované príspevky na zahraničných vedeckých konferenciách Kategória od 2022 V2 - Vedecký výstup publikačnej činnosti ako časť editovanej knihy alebo zborníka Rok 2019 Ohlasy [1] 2019: LIU, Xing - QIAN, Cheng - HATCHER, William Grant - XU, Hansong - LIAO, Weixian - YU, Wei. Secure Internet of Things (IoT)-Based Smart-World Critical Infrastructures: Survey, Case Study and Research Opportunities. In IEEE Access, 2019, 7, pp. 79523-79544. [1] 2020: ALZAHRANI, Haifaa - ABULKHAIR, Maysoon - ALKAYAL, Entisar. A multi-class neural network model for rapid detection of IoT botnet attacks. In International Journal of Advanced Computer Science and Applications, 2020, 11, 7, pp. 688-696. ISSN 2158107X. [1] 2020: EASTTOM, Chuck - ADDA, Mo. An enhanced view of incidence functions for applying graph theory to modeling network intrusions. In WSEAS Transactions on Applied and Theoretical Mechanics, 2020, 15, pp. 98-105. ISSN 19918747. [1] 2021: WAZZAN, Majda - ALGAZZAWI, Daniyal - BAMASAQ, Omaima - ALBESHRI, Aiiad - CHENG, Li. Internet of Things Botnet Detection Approaches: Analysis and Recommendations for Future Research. In APPLIED SCIENCES-BASEL, 2021, vol. 11, no. 12, pp. 2022: ALASHHAB, Abdussalam Ahmed - ZAHID, Mohd Soperi Mohd - AZIM, Mohamed A. - DAHA, Muhammad Yunis - ISYAKU, Babangida - ALI, Shimhaz. A Survey of Low Rate DDoS Detection Techniques Based on Machine Learning in Software-Defined Networks. In Symmetry. Vol. 14, iss. 8 (2022). ISSN 2073-8994 (2.713 - 2020). V databáze: DOI: 10.3390/sym14081563. 2022: SADHU, Pintu Kumar - YANAMBAKA, Venkata P. - ABDELGAWAD, Ahmed. Internet of Things: Security and Solutions Survey. In Sensors. Vol. 22, iss. 19 (2022). ISSN 1424-3210 (3.576 - 2020). 2022: OJETUNDE, Babatunde - EGASHIRA, Naoto - SUZUKI, Kenta - KURIHARA, Takuya - YANO, Kazuto. A Multimodel-Based Approach for Estimating Cause of Scanning Failure and Delay in IoT Wireless Network. In Network. Vol. 2, iss. 4 (2022). ISSN 2673-8732. 2022: WU, Linjun - HU, Yupeng - ZHANG, Kehuan - LI, Wenjia - XU, Xiaolin - CHANG, Wanli. FLAM-PUF: A Response-Feedback-Based Lightweight Anti-Machine-Learning-Attack PUF. In IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems. Vol. 41, no. 11 (2022), s. 4433-4444. ISSN 1937-4151. 2022: ALMAIAH, Mohammed Amin - ALMOMANI, Omar - ALSAAIDAH, Adeeb - AL-OTAIBI, Shaha - BANI-HANI, Nabeel - AL HWAITAT, Ahmad K. - AL-ZAHRANI, Ali - LUTFI, Abdalwali - AWAD, Ali Bani - ALDHYANI, Theyazn H. H. Performance Investigation of Principal Component Analysis for Intrusion Detection System Using Different Support Vector Machine Kernels. In Electronics. Vol. 11, iss. 21 (2022). ISSN 2079-9292 (2.690 - 2021). 2023: IRKHAM, Irkham - IBRAHIM, Abdullahi Umar - NWEKWO, Chidi Wilson - AL-TURJMAN, Fadi - HARTATI, Yeni Wahyuni. Current Technologies for Detection of COVID-19: Biosensors, Artificial Intelligence and Internet of Medical Things (IoMT): Review. In: Sensors, 2023-01-01, 23, 1, pp. ISSN 14248220. 2022: ALBADI, Houda Mohammed - KHDER, Moaiad Ahmad - FUJO, Samah Wael - YOUSIF, Tasneem Mohamed. A Literature Review of the Seriousness of Flooding-based DoS Attack. In 2022 International Conference on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT). Piscataway : IEEE, 2022. ISBN 978-1-6654-5193-2. 2023: NAZIR, A. - HE, J. - ZHU, N. - WAJAHAT, A. - MA, X. - ULLHA, F. - QURESHI, S. - PATHAN, M. S. Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets. In: Journal of King Saud University - Computer and Information Sciences, vol. 35 (2023), iss. 10. ISSN 1319-1578. 2024: AL-ERYANI, A. M. - HOSSNY, E. - OMARA, F. A. Efficient Machine Learning Algorithms for DDoS Attack Detection. In: 2024 6th International Conference on Computing and Informatics (ICCI). Piscataway: IEEE, 2024. ISBN 979-8-3503-7387-5. 2024: SHAHIN, Mohammad - MAGHANAKI, Mazdak - HOSSEINZADEH, Ali - CHEN, F. Frank. Advancing Network Security in Industrial IoT: A Deep Dive into AI-Enabled Intrusion Detection Systems. In: Advanced Engineering Informatics, 2024-10-01, 62, pp. ISSN 14740346. 
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