GLD‐Net: Deep Learning to Detect DDoS Attack via Topological and Traffic Feature Fusion

W Guo, H Qiu, Z Liu, J Zhu… - Computational Intelligence …, 2022 - Wiley Online Library
Distributed denial of service (DDoS) attacks are the most common means of cyberattacks
against infrastructure, and detection is the first step in combating them. The current DDoS …

Image cryptography with matrix array symmetric key using chaos based approach

T Kumar, S Chauhan - International Journal of Computer …, 2018 - search.proquest.com
With the increase in use of digital technology, use of data items in the format of text, image
and videos are also increases. To securely send this data, many users and smart …

The Impact of DDoS on E-commerce

N Innab, A Alamri - 2018 21st Saudi Computer Society National …, 2018 - ieeexplore.ieee.org
The research paper scope covers the impact of the distributed denial of service (DDoS)
security breach on ecommerce. It shows some cases related to this impact and the control …

[PDF][PDF] Performance analysis of agent based distributed defense mechanisms against DDOS attacks

K Singh, KS Dhindsa, B Bhushan… - International Journal of …, 2018 - academia.edu
The current internet infrastructure is susceptible to distributed denial of service (DDoS)
attacks and has no built in mechanism to defend against them. The research on these kinds …

[PDF][PDF] International Journal of Advanced Trends in Computer Science and Engineering

AM Alqudah, H Alquraan, IA Qasmieh, A Alqudah… - International …, 2019 - arxiv.org
Deep Learning is the newest and the current trend of the machine learning field that paid a
lot of the researchers' attention in the recent few years. As a proven powerful machine …

Детектирование DDoS атак на основе анализа динамики и взаимосвязи характеристик сетевого трафика

АЕ Краснов, ЕН Надеждин, ДН Никольский… - Вестник Удмуртского …, 2018 - mathnet.ru
В работе усовершенствован подход к обнаружению DDoS-атак на основе
использования оператора эволюции динамических систем, разработанный ранее …

Smart NCAP supporting low-rate DDoS detection for IEEE 21451-1-5 internet of things

J Ren, Y Liu, J Wu, J Li, K Wang - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
With the increasing variety of Internet of Things (IoT) devices, the complexity and
heterogeneity of next generation IoT have increased the difficulty of managing IoT devices …

Detecting DDoS attacks by analyzing the dynamics and interrelation of network traffic characteristics

AE Krasnov, EN Nadezhdin, DN Nikol'skii… - … . Komp'yuternye Nauki, 2018 - mathnet.ru
AE Krasnov, EN Nadezhdin, DN Nikol'skii, DS Repin, VS Galyaev, “Detecting DDoS attacks by
analyzing the dynamics and interrelation of network traffic characteristics”, Vestn. Udmurtsk. Univ …

Active cyber defense: A case study on responses to cyberattacks

P Kulp - 2019 - search.proquest.com
The specific problem is passive security controls cannot provide the same level of protection
against modern methods of cyberattack as afforded by active cyber defense (ACD). The …

[PDF][PDF] A Multi-agent System-based Method of Detecting DDoS Attacks

X ZHANG, Y ZHANG, R ALTAF… - International Journal of …, 2018 - mecs-press.org
Distributed denial of service attacks are the acts aiming at the exhaustion of the limited
service resources within a target host and leading to the rejection of the valid user service …