Results 91 to 100 of about 13,413,861 (210)
Recursive Voting Fusion: An RFE-Based Ensemble Model for Categorizing IoT DDoS Attacks
The rise of the Internet of Things (IoT) devices has led to an enormous vulnerability to multiple DDoS attacks, including low-rate traffic disruption and high-rate SYN Floods.
Piyush M. Prajapati +4 more
doaj +1 more source
Visualizing UDP and ICMP DDoS flooding attack.
Software Defined Network (SDN) has alleviated traditional network limitations but faces a significant challenge due to the risk of Distributed Denial of Service (DDoS) attacks against an SDN controller, with current detection methods lacking evaluation ...
Mohammed Anbar (6541496) +6 more
core +1 more source
Distributed Denial-of-Service (DDoS) attacks are one of the major threats in the cybersecurity domain. Lightweight feature selection is vital for improving DDoS attack detection efficiency and computational efficiency by selecting the most relevant ...
Manthena Raghupathi +1 more
doaj +1 more source
An Analysis of Blockchain-Based IoT Sensor Network Distributed Denial of Service Attacks
The Internet of Things (IoT) and blockchain are emerging technologies that have attracted attention in many industries, including healthcare, automotive, and supply chain.
Kithmini Godewatte Arachchige +2 more
doaj +1 more source
A Threshold Adaptation Mechanism for Detecting and Filtering Low-Rate DDoS Attacks
TCP-targeted low-rate distributed denial-of-service (LDDoS) attacks pose a serious chal- lenge to the reliability and security of the Internet. Among various proposed solutions, we are par- ticularly interested in the Congestion Participation Rate (CPR) metric and the CPR-based approach.
openaire +1 more source
Signature-Based Security Analysis and Detection of IoT Threats in Advanced Message Queuing Protocol
The Advanced Message Queuing Protocol (AMQP) is a widely used communication standard in IoT systems due to its robust and reliable message delivery capabilities.
Mohammad Emran Hashimyar +3 more
doaj +1 more source
DDoS attack detection method using cluster analysis
Distributed Denial of Service (DDoS) attacks generate enormous packets by a large number of agents and can easily exhaust the computing and communication resources of a victim within a short period of time.
Kwon, Ki Hoon +4 more
core +1 more source
DDoS attack detection, using statistical methods, efficiency research. [PDF]
DDOS attack detection, using statistical methods, efficiency ...
Tarasaitis, Karolis,
core
An application-layer DDoS attack is hard to spot as it causes server-side resources to be consumed and may emulate the behavior of a legitimate client. D-SHIELD is a novel deployable framework for real-time application-layer DDoS detection and mitigation,
Kiran M. Salunke, Suresh Kurumbanshi
doaj +1 more source
Application of nonlinear dynamics to ddos attack detection. [PDF]
Application of Nonlinear Dynamics to DDoS Attack ...
Lengvinas, Andrius,
core

