Works matching Denial-of-service attack
Results: 3165
Hidden Markov model‐based ℋ<sub>∞</sub> control for singular Markov jump systems under denial of service attacks.
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- International Journal of Robust & Nonlinear Control, 2024, v. 34, n. 6, p. 4310, doi. 10.1002/rnc.7195
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Event‐triggered quantized L2−L∞$$ {\mathfrak{L}}_2-{\mathfrak{L}}_{\infty } $$ filtering for neural networks under denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2022, v. 32, n. 10, p. 5897, doi. 10.1002/rnc.6121
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Model-Free Adaptive Predictive Tracking Control for High-Speed Trains Considering Quantization Effects and Denial-of-Service Attacks.
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- Actuators, 2024, v. 13, n. 8, p. 301, doi. 10.3390/act13080301
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A survey of distributed denial-of-service attack, prevention, and mitigation techniques.
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- International Journal of Distributed Sensor Networks, 2017, v. 13, n. 12, p. 1, doi. 10.1177/1550147717741463
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ARTP: Anomaly based real time prevention of Distributed Denial of Service attacks on the web using machine learning approach.
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- International Journal of Intelligent Networks, 2023, v. 4, p. 38, doi. 10.1016/j.ijin.2022.12.001
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Central Aggregator Intrusion Detection System for Denial of Service Attacks.
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- Computers, Materials & Continua, 2023, v. 74, n. 2, p. 2363, doi. 10.32604/cmc.2023.032694
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拒绝服务攻击下网络化非线性系统的采样数据控制.
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- Control Theory & Applications / Kongzhi Lilun Yu Yinyong, 2023, v. 40, n. 2, p. 240, doi. 10.7641/CTA.2022.11302
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Memory and Cache Contention Denial-of-Service Attack in Mobile Edge Devices.
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- Applied Sciences (2076-3417), 2021, v. 11, n. 5, p. 2385, doi. 10.3390/app11052385
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Distributed Denial of Service Attack Detection in Network Traffic Using Deep Learning Algorithm.
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- Sensors (14248220), 2023, v. 23, n. 20, p. 8642, doi. 10.3390/s23208642
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TPAAD: Two‐phase authentication system for denial of service attack detection and mitigation using machine learning in software‐defined network.
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- International Journal of Network Management, 2024, v. 34, n. 3, p. 1, doi. 10.1002/nem.2258
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Preview Control for Cyber–Physical Systems under Periodic Denial-of-Service Attacks.
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- Mathematics (2227-7390), 2024, v. 12, n. 17, p. 2653, doi. 10.3390/math12172653
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Denial-of-Service Attack Defense Strategy for Continuous Variable Quantum Key Distribution via Deep Learning.
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- Mathematics (2227-7390), 2023, v. 11, n. 12, p. 2681, doi. 10.3390/math11122681
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Deep learning in distributed denial-of-service attacks detection method for Internet of Things networks.
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- Journal of Intelligent Systems, 2023, v. 32, n. 1, p. 1, doi. 10.1515/jisys-2022-0155
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Event‐triggered fault detector design in networked fuzzy control systems under denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2024, v. 34, n. 15, p. 10494, doi. 10.1002/rnc.7530
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Bipartite containment of heterogeneous multi‐agent systems under denial‐of‐service attacks: A historical information‐based control scheme.
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- International Journal of Robust & Nonlinear Control, 2024, v. 34, n. 5, p. 3126, doi. 10.1002/rnc.7128
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Dynamic switched periodic event‐triggered control systems under denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2024, v. 34, n. 5, p. 3109, doi. 10.1002/rnc.7127
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Event‐triggered security control for fuzzy‐model‐based cyber‐physical systems under Denial‐of‐Service attacks and actuator faults.
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- International Journal of Robust & Nonlinear Control, 2024, v. 34, n. 4, p. 2751, doi. 10.1002/rnc.7107
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The mean‐square consensus of stochastic multi‐agent systems under denial‐of‐service and deception attacks via event‐triggered impulsive control.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 17, p. 10532, doi. 10.1002/rnc.6897
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Resilient and event‐triggered control of stochastic jump systems under deception and denial of service attacks.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 3, p. 1821, doi. 10.1002/rnc.6463
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Leader‐following consensus of multiple uncertain Euler–Lagrange systems under denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 3, p. 1531, doi. 10.1002/rnc.6417
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Attack‐parameter‐dependent state feedback controller design for stochastic systems with denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2023, v. 33, n. 2, p. 991, doi. 10.1002/rnc.6472
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Flocking control for Cucker–Smale model under denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2022, v. 32, n. 18, p. 9997, doi. 10.1002/rnc.6350
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Event‐based secure leader‐following consensus for cyber‐physical systems under denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2022, v. 32, n. 11, p. 6346, doi. 10.1002/rnc.6144
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Event‐triggered finite‐time guaranteed cost control for networked Takagi‐Sugeno (T‐S) fuzzy switched systems under denial of service attacks.
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- International Journal of Robust & Nonlinear Control, 2022, v. 32, n. 9, p. 5764, doi. 10.1002/rnc.6112
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Neural‐network‐based control for discrete‐time nonlinear systems with denial‐of‐service attack: The adaptive event‐triggered case.
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- International Journal of Robust & Nonlinear Control, 2022, v. 32, n. 5, p. 2760, doi. 10.1002/rnc.5831
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Event‐triggered output synchronization for nonhomogeneous agent systems with periodic denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2021, v. 31, n. 6, p. 1851, doi. 10.1002/rnc.5223
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Dynamic event‐triggered approach for networked control systems under denial of service attacks.
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- International Journal of Robust & Nonlinear Control, 2021, v. 31, n. 5, p. 1774, doi. 10.1002/rnc.5384
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Active resilient control for two‐dimensional systems under denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2021, v. 31, n. 3, p. 759, doi. 10.1002/rnc.5310
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Detecting Denial of Service Attacks in Internet of Things Using Software-Defined Networking and Ensemble Learning.
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- Cihan University-Erbil Scientific Journal, 2022, v. 6, n. 2, p. 49, doi. 10.24086/cuesj.v6n2y2022.pp49-56
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RESILIENT HYBRID-TRIGGERED CONTROL FOR NETWORKED STOCHASTIC SYSTEMS UNDER DENIAL-OF-SERVICE ATTACKS.
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- Annals: Series on Mathematics & its Applications, 2021, v. 13, n. 1/2, p. 122, doi. 10.56082/annalsarscimath.2022.1-2.122
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Detection and Mitigation Distribution Denial of Service Attack Based on Blockchain Concept.
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- Ingénierie des Systèmes d'Information, 2024, v. 29, n. 3, p. 1043, doi. 10.18280/isi.290322
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Resilient filtering for cyber‐physical systems under denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2020, v. 30, n. 5, p. 1754, doi. 10.1002/rnc.4845
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Robust event‐triggered model predictive control for cyber‐physical systems under denial‐of‐service attacks.
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- International Journal of Robust & Nonlinear Control, 2019, v. 29, n. 14, p. 4797, doi. 10.1002/rnc.4654
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CYBERCRIME DETERRENCE AND INTERNATIONAL LEGISLATION: EVIDENCE FROM DISTRIBUTED DENIAL OF SERVICE ATTACKS.
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- MIS Quarterly, 2017, v. 41, n. 2, p. 497
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Securing an Internet of Things from Distributed Denial of Service and Mirai Botnet Attacks Using a Novel Hybrid Detection and Mitigation Mechanism.
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- International Journal of Intelligent Engineering & Systems, 2021, v. 14, n. 1, p. 113, doi. 10.22266/ijies2021.0228.12
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Denial-of-Service (DoS) Attack Detection within a Network of Wireless Sensors via Adaptive Sunflower Optimization and Improved Deep Convolutional Neural Network.
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- Grenze International Journal of Engineering & Technology (GIJET), 2024, v. 10, n. 2,Part 5, p. 5878
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Fast Detection of Distributed Denial of Service Attacks in VoIP Networks Using Convolutional Neural Networks.
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- International Journal of Intelligent Computing & Information Sciences, 2020, v. 20, n. 2, p. 125, doi. 10.21608/ijicis.2021.51555.1046
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Quantum Computing and Machine Learning for Cybersecurity: Distributed Denial of Service (DDoS) Attack Detection on Smart Micro-Grid.
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- Energies (19961073), 2023, v. 16, n. 8, p. 3572, doi. 10.3390/en16083572
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An Experimental Study of Distributed Denial of Service and Sink Hole Attacks on IoT based Healthcare Applications.
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- Wireless Personal Communications, 2021, v. 121, n. 1, p. 707, doi. 10.1007/s11277-021-08657-z
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A Finite-Dimensional Control Scheme for Fractional-Order Systems under Denial-of-Service Attacks.
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- Fractal & Fractional, 2023, v. 7, n. 7, p. 562, doi. 10.3390/fractalfract7070562
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Binary observation‐based identification for finite impulse response systems under denial of service attacks.
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- International Journal of Adaptive Control & Signal Processing, 2024, v. 38, n. 6, p. 2106, doi. 10.1002/acs.3794
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Security in Software-Defined Networks Against Denial-of-Service Attacks Based on Increased Load Balancing Efficiency.
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- International Journal of Advanced Computer Science & Applications, 2023, v. 14, n. 11, p. 75, doi. 10.14569/ijacsa.2023.0141108
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Denial of service attacks – an updated perspective.
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- Systems Science & Control Engineering, 2016, v. 4, n. 1, p. 285, doi. 10.1080/21642583.2016.1241193
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Resilient Event-Triggered Dynamic Output Feedback Control for Networked Takagi–Sugeno Fuzzy Systems Under Denial-of-Service Attacks.
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- International Journal of Fuzzy Systems, 2024, v. 26, n. 1, p. 357, doi. 10.1007/s40815-023-01592-0
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Secure defense control for memristive recurrent neural networks under denial-of-service attacks with quantized sampled-data signals.
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- Neural Computing & Applications, 2024, v. 36, n. 11, p. 6147, doi. 10.1007/s00521-023-09370-7
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Aperiodically intermittent event-triggered control for practical fixed-time consensus under denial-of-service attack.
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- Nonlinear Dynamics, 2024, v. 112, n. 23, p. 21117, doi. 10.1007/s11071-024-10017-y
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Fault-tolerant consensus of nonlinear multi-agent systems with channel noises under multiple faults and denial-of-service attacks.
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- Nonlinear Dynamics, 2024, v. 112, n. 19, p. 17205, doi. 10.1007/s11071-024-09921-0
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Review of Detection Denial of Service Attacks using Machine Learning through Ensemble Learning.
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- Iraqi Journal for Computers & Informatics Ijci, 2022, v. 48, n. 1, p. 13, doi. 10.25195/ijci.v48i1.349
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基于观测器的周期拒绝服务攻击网络化系统动态事件触发控制.
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- Control Theory & Applications / Kongzhi Lilun Yu Yinyong, 2021, v. 38, n. 6, p. 851, doi. 10.7641/CTA.2021.00578
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Flocking Control for Cucker–Smale Model Subject to Denial-of-Service Attacks and Communication Delays.
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- Electronics (2079-9292), 2023, v. 12, n. 13, p. 3000, doi. 10.3390/electronics12133000
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