DDoS attacks at the application layer: Challenges and research perspectives for safeguarding web applications

A Praseed, PS Thilagam - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attacks are some of the most devastating attacks
against Web applications. A large number of these attacks aim to exhaust the network …

Review of recent detection methods for HTTP DDoS attack

GA Jaafar, SM Abdullah, S Ismail - Journal of Computer …, 2019 - Wiley Online Library
With increment in dependency on web technology, a commensurate increase has been
noted in destructive attempts to disrupt the essential web technologies, hence leading to …

LUCID: A practical, lightweight deep learning solution for DDoS attack detection

R Doriguzzi-Corin, S Millar… - … on Network and …, 2020 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks are one of the most harmful threats in today's
Internet, disrupting the availability of essential services. The challenge of DDoS detection is …

A novel intrusion detection method based on lightweight neural network for internet of things

R Zhao, G Gui, Z Xue, J Yin, T Ohtsuki… - IEEE Internet of …, 2021 - ieeexplore.ieee.org
The purpose of a network intrusion detection (NID) is to detect intrusions in the network,
which plays a critical role in ensuring the security of the Internet of Things (IoT). Recently …

Machine learning-based IoT-botnet attack detection with sequential architecture

YN Soe, Y Feng, PI Santosa, R Hartanto, K Sakurai - Sensors, 2020 - mdpi.com
With the rapid development and popularization of Internet of Things (IoT) devices, an
increasing number of cyber-attacks are targeting such devices. It was said that most of the …

[HTML][HTML] A dynamic MLP-based DDoS attack detection method using feature selection and feedback

M Wang, Y Lu, J Qin - Computers & Security, 2020 - Elsevier
Abstract Distributed Denial of Service (DDoS) attack is a stubborn network security problem.
Various machine learning-based methods have been proposed to detect such attacks …

Near real-time security system applied to SDN environments in IoT networks using convolutional neural network

MVO de Assis, LF Carvalho, JJPC Rodrigues… - Computers & Electrical …, 2020 - Elsevier
Abstract The Internet of Things (IoT) paradigm brings new and promising possibilities for
services and products. The heterogeneity of IoT devices highlights the inefficiency of …

Semi-supervised K-means DDoS detection method using hybrid feature selection algorithm

Y Gu, K Li, Z Guo, Y Wang - IEEE Access, 2019 - ieeexplore.ieee.org
Distributed denial of service (DDoS) attack is an attempt to make an online service
unavailable by overwhelming it with traffic from multiple sources. Therefore, it is necessary to …

Application layer denial-of-service attacks and defense mechanisms: a survey

N Tripathi, N Hubballi - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Application layer Denial-of-Service (DoS) attacks are generated by exploiting vulnerabilities
of the protocol implementation or its design. Unlike volumetric DoS attacks, these are …

Security data collection and data analytics in the internet: A survey

X Jing, Z Yan, W Pedrycz - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
Attacks over the Internet are becoming more and more complex and sophisticated. How to
detect security threats and measure the security of the Internet arises a significant research …