Results 21 to 30 of about 13,413,861 (210)

Hybrid DDoS Detection Framework Using Matching Pursuit Algorithm

open access: yesIEEE Access, 2020
Although a considerable amount of research has been done on DDoS attacks, it still poses a severe threat to many businesses and internet service providers. DDoS attacks commonly generate a high amount of network traffic.
Derya Erhan, Emin Anarim
doaj   +1 more source

Countering DDoS Attacks in SIP Based VoIP Networks Using Recurrent Neural Networks

open access: yesSensors, 2020
Many companies have transformed their telephone systems into Voice over IP (VoIP) systems. Although implementation is simple, VoIP is vulnerable to different types of attacks.
Waleed Nazih   +4 more
doaj   +1 more source

Extracting Low‐Rate DDoS Attack Characteristics: The Case of Multipath TCP‐Based Communication Networks [PDF]

open access: yesWireless Communications and Mobile Computing, 2021
The multipath TCP (MPTCP) enables multihomed mobile devices to realize multipath parallel transmission, which greatly improves the transmission performance of the mobile communication network. With the rapid development of all kinds of emerging technologies, network attacks have shown a trend of development with many types and rapid updates. Among them,
Gang Lei 0002   +5 more
openaire   +2 more sources

Low Rate DDoS (MQTT)

open access: yes, 2022
The dataset was utilized to investage the impact of Low Rate DDoS Attack based on MQTT protocol in SD-IoT environment. The data is contained of two subfolder including the extracted training data using OpenFlow features and *.pcap file for generating ...
Sumadi, F (via Mendeley Data)   +1 more
core   +1 more source

A new metric for flow‐level filtering of low‐rate DDoS attacks [PDF]

open access: yesSecurity and Communication Networks, 2015
AbstractLow‐rate distributed denial‐of‐service (LDDoS) attacks dramatically reduce transmission control protocol throughput by exploiting the vulnerability in the transmission control protocol congestion control mechanism. The current study proposes a new metric called mean Internet Protocol (IP) packet delay variation (mipdv) to detect LDDoS flows and
openaire   +2 more sources

Identifikasi Serangan Low-Rate DDOS Berbasis Deep Learning [PDF]

open access: yes, 2022
LowRate DDoS (LDDoS) is a variation of DDoS attack that sends fewer packets than conventional DDoS attacks. However, by sending a smaller number of packets and using a unique attack period, low-rate DDoS is very effective in reducing the quality of an ...
Adytia, Pitrasacha, Wahyuni, Wahyuni
core   +1 more source

Low-Rate DoS Attacks, Detection, Defense, and Challenges: A Survey

open access: yesIEEE Access, 2020
Low-rate Denial of service (LDoS) attacks has become one of the biggest threats to the Internet, cloud computing platforms, and big data centers. As an evolutionary species of DDoS attack, LDoS attack is essentially different from the DDoS attack.
Wu Zhijun   +3 more
doaj   +1 more source

Novel Method For Low-Rate Ddos Attack Detection

open access: yesJournal of Physics: Conference Series, 2018
The relevance of the work is associated with an increasing number of advanced types of DDoS attacks, in particular, low-rate HTTP-flood. Last year, the power and complexity of such attacks increased significantly. The article is devoted to the analysis of DDoS attacks detecting methods and their modifications with the purpose of increasing the accuracy
A A Chistokhodova, I D Sidorov
openaire   +1 more source

CPSS LR-DDoS Detection and Defense in Edge Computing Utilizing DCNN Q-Learning

open access: yesIEEE Access, 2020
Existing intrusion detection and defense models for CPSS (Cyber-Physical-Social Systems) are based on analyzing the static intrusion characteristics, which cannot effectively detect large-scale Low-Rate Denial-of-Service (LR-DDoS) attacks, especially in ...
Zengguang Liu, Xiaochun Yin, Yuemei Hu
doaj   +1 more source

FMDADM: A Multi-Layer DDoS Attack Detection and Mitigation Framework Using Machine Learning for Stateful SDN-Based IoT Networks

open access: yesIEEE Access, 2023
The absence of standards and the diverse nature of the Internet of Things (IoT) have made security and privacy concerns more acute. Attacks such as distributed denial of service (DDoS) are becoming increasingly widespread in IoT, and the need for ways to
Walid I. Khedr   +2 more
doaj   +1 more source

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