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Detecting Distributed Denial-of-Service DDoS Attacks [PDF]
Current Trends in Computer Sciences & Applications, 2019 Security of information is of utmost importance to organization striving to survive in a competitive marketplace. Network security has been an issue since computer networks became prevalent, most especially now that internet is changing the face of computing.
openaire +1 more source
Security Attacks on E-Voting System Using Blockchain
Iraqi Journal for Computer Science and Mathematics, 2023 Electronic voting has become popular in democratic countries, and thus the cyber security of this system is demanded. In this paper, some attacks were made on a proposed electronic election model based on blockchain technology, where the impact of each ...
Saba Abdulbaqi Salman +2 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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Journal of Soft Computing and Data Mining, 2023 Distributed Denial of Service (DDoS) attacks can be made through numerous mediums, becoming one of the biggest threats to computer security. One of the most effective approaches is to develop an algorithm using Machine Learning (ML).
Sharifah Shahmim Syed Othman +2 more
semanticscholar +1 more source
TRAP: A Three-Way Handshake Server for TCP Connection Establishment
Applied Sciences, 2016 Distributed denial of service attacks have become more and more frequent nowadays. In 2013, a massive distributed denial of service (DDoS) attack was launched against Spamhaus causing the service to shut down.
Fu-Hau Hsu +5 more
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Real-time DDoS attack detection based on deep learning
Dianxin kexue, 2017 Distributed denial of service (DDoS) is a special form of denial of service (DoS) attack based on denial of service(DoS).It is a distributed,collaborative large-scale network attack.A DDoS detection method based on deep learning was presented.The method ...
Chuanhuang LI +5 more
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A TWO LEVEL ARCHITECTURE USING CONSENSUS METHOD FOR GLOBAL DECISION MAKING AGAINST DDoS ATTACKS [PDF]
ICTACT Journal on Communication Technology, 2010 Distributed Denial of service is a major threat to the availability of internet services. Due to the distributed, large scale nature of the Internet makes DDoS (Distributed Denial-of-Service) attacks stealthy and difficult to counter.
S.Seetha, P.Raviraj
doaj
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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Detection of Distributed Denial of Service (DDoS) attacks using convolutional neural networks
Nigerian Journal of Technology, 2023 The rapid evolution of the Internet has brought tremendous benefits to the world at large. To effectively leverage on the importance of the internet, there is the need for a secured and reliable network.
A. Akinwumi +3 more
semanticscholar +1 more source
ABUAD Journal of Engineering Research and DevelopmentThe increasing occurrence of Distributed Denial of Service (DDoS) attacks has caused significant disruptions in global network services, overwhelming targets by flooding them with requests from various sources.
Opeyemi Oreoluwa Asaolu +3 more
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