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Detection and mitigation of DDoS attack in cloud computing using machine learning algorithm [PDF]
EAI Endorsed Transactions on Scalable Information Systems, 2019 Cloud computing, with its staggering and on-demand services had revamped the technology so far. Cloudconsumers are freely to use the applications and software on the premises of Pay-as-you go concept. This concept decreased the cost and make the services
Aroosh Amjad +3 more
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International Journal of Applied Mathematics and Computer Science, 2022 Blockchain-based cyber-physical systems (CPSs) and the blockchain Internet of things (BIoT) are two major focuses of the modern technological revolution.
Bhattacharjya Aniruddha
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Detecting Different Types of Distributed Denial of Service Attacks
Gazi Üniversitesi Fen Bilimleri Dergisi, 2021 Distributed Denial of Service Attacks (DDoS) threaten every device connected to the Internet. The fast progress and wide spreading DDoS attacks are among the most well-known features of them. Many studies have been conducted to reduce the impact of these
Esra SÖĞÜT +2 more
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IMPROVING THE EFFICACY OF NETWORK SECURITY BASED ON DIMENSIONALITY REDUCTION TECHNIQUES
Tạp chí Khoa họcThis paper focuses on proposing a network intrusion detection model applying fundamental machine learning techniques to enhance early detection of network intrusions (rapid detection of attack behaviors) for improved efficiency in preventing network ...
Hoang Thi Phuong
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Revista Ingeniería, Matemáticas y Ciencias de la InformaciónEl objetivo es identificar los ataques de denegación de servicio distribuido (DDoS) mediante la integración de algoritmos de aprendizaje automático y arquitecturas de redes neuronales artificiales. Metodología: Para estructurar el análisis
Victor Alfonso Guzman-Brand +1 more
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Support Vector Machine Classification Algorithm for Detecting DDoS Attacks on Network Traffic
Journal of Applied Informatics and ComputingDistributed Denial of Service (DDoS) attacks represent a significant danger in network security because they can lead to extensive service interruptions. With these attacks increasingly mirroring regular traffic, smart and effective detection systems are
Yoki Irawan +3 more
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Future Internet, 2019 Internet of Things is one of the most significant latest developments in computer science. It is common for modern computing infrastructures to partially consist of numerous low power devices that are characterized by high diversity in both hardware and ...
Georgios Spathoulas +3 more
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Mitigating DRDoS Network Attacks via Consolidated Deny Filter Rules
Research Briefs on Information & Communication Technology Evolution, 2020 This article is concerning distributed reflection denial of service (DRDoS) attacks. These DRDoS attacks are more frequent and large scale, and are one of the biggest threats on the Internet. This paper discusses the best way to defend from these attacks
Todd Booth, Karl Andersson
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Jurnal SisfokomDistributed Denial of Service (DDoS) attacks remain a prominent threat to modern network infrastructures, particularly in Software Defined Networks (SDNs), which operate under a centralized control architecture.
Andi Muhammad Iqra Rezky Hatta +2 more
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TSCBA-A Mitigation System for ARP Cache Poisoning Attacks
Cybernetics and Information Technologies, 2018 Address Resolution Protocol (ARP) cache poisoning results in numerous attacks. A novel mitigation system for ARP cache poisoning presented here avoids ARP cache poisoning attacks by introducing timestamps and counters in the ARP messages and ARP data ...
Prabadevi B., Jeyanthi N.
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