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Using Long Short-Term Memory and Convolutional neural networks to Detect Distributed Denial of Service Attacks [PDF]
پژوهشهای نظری و کاربردی هوش ماشینیDeep learning is an essential tool for detecting distributed denial of service (DDoS) attacks due to its ability to analyze complex network traffic patterns and respond in real-time.
S.Mojtaba Matinkhah +2 more
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JOIV: International Journal on Informatics Visualization, 2021 Distributed-Denial-of-Service impacts are undeniably significant, and because of the development of IoT devices, they are expected to continue to rise in the future.
Abdulkareem A. Hezam +4 more
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Applied Computing and Informatics, 2019 The internet network is mostly victimized to the Distributed Denial of Service (DDOS) attack, which is one that intentionally occupies the computing resources and bandwidth in order to deny that services to potential users.
Indraneel Sreeram +1 more
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A Feature Analysis Based Identifying Scheme Using GBDT for DDoS with Multiple Attack Vectors
Applied Sciences, 2019 In recent years, distributed denial of service (DDoS) attacks have increasingly shown the trend of multiattack vector composites, which has significantly improved the concealment and success rate of DDoS attacks.
Jian Zhang, Qidi Liang, Rui Jiang, Xi Li
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JOIV: International Journal on Informatics Visualization, 2022 The development of computing technology in increasing the accessibility and agility of daily activities currently uses the Internet of Things (IoT). Over time, the increasing number of IoT device users impacts access and delivery of valuable data.
Alam Rahmatulloh +4 more
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Preventing DDoS using Bloom Filter: A Survey
EAI Endorsed Transactions on Scalable Information Systems, 2018 Distributed Denial-of-Service (DDoS) is a menace for service provider and prominent issue in network security. Defeating or defending the DDoS is a prime challenge. DDoS make a service unavailable for a certain time.
Ripon Patgiri +2 more
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An encryption-encoding architecture for security enhancement in 5G communication networks [PDF]
ITM Web of Conferences, 2023 This article introduces a hybrid architecture of cryptography and coding technique to provide security in 5G communication networks. There are various types of attacks in 5G communication systems.
Das Anwesha +3 more
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Deteksi Serangan DDoS Menggunakan Neural Network dengan Fungsi Fixed Moving Average Window
JISKA (Jurnal Informatika Sunan Kalijaga), 2017 Distributed denial-of-service (DDoS) merupakan jenis serangan dengan volume, intensitas, dan biaya mitigasi yang terus meningkat seiring berkembangnya skala organisasi.
Arif Wirawan Muhammad +2 more
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ANALISIS STATISTIK LOG JARINGAN UNTUK DETEKSI SERANGAN DDOS BERBASIS NEURAL NETWORK
Ilkom Jurnal Ilmiah, 2016 Distributed denial-of-service (DDoS) merupakan jenis serangan dengan volume, intensitas, dan biaya mitigasi yang terus meningkat seiring berkembangnya skala organisasi.
Arif Wirawan Muhammad
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Detection and Mitigation of DoS and DDoS Attacks in IoT-Based Stateful SDN: An Experimental Approach
Sensors, 2020 The expected advent of the Internet of Things (IoT) has triggered a large demand of embedded devices, which envisions the autonomous interaction of sensors and actuators while offering all sort of smart services. However, these IoT devices are limited in
Jesús Galeano-Brajones +3 more
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