Results 11 to 20 of about 13,413,861 (210)
Low-Rate DDoS Attack Detection Using Expectation of Packet Size [PDF]
Security and Communication Networks, 2017 Low-rate Distributed Denial-of-Service (low-rate DDoS) attacks are a new challenge to cyberspace, as the attackers send a large amount of attack packets similar to normal traffic, to throttle legitimate flows. In this paper, we propose a measurement—expectation of packet size—that is based on the distribution difference of the packet size to ...
Lu Zhou 0003 +3 more
core +5 more sources
LRDADF: An AI enabled framework for detecting low-rate DDoS attacks in cloud computing environments
Measurement: Sensors, 2023 DDoS attacks, also known as distributed denial-of-service attacks, pose a significant risk to networks in the cloud. The attackers aim to flood the target system with an overwhelming amount of data and requests until it becomes completely overloaded and ...
M.Jahir Pasha +3 more
doaj +2 more sources
Detection of the botnets’ low-rate DDoS attacks based on self-similarity [PDF]
International Journal of Electrical and Computer Engineering (IJECE), 2020 An article presents the approach for the botnets’ low-rate a DDoS-attacks detection based on the botnet’s behavior in the network. Detection process involves the analysis of the network traffic, generated by the botnets’ low-rate DDoS attack. Proposed technique is the part of botnets detection system – BotGRABBER system.
Sergii Lysenko +4 more
openaire +3 more sources
Catch Me If You Can: A New Low-Rate DDoS Attack Strategy Disguised by Feint [PDF]
2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2023 While collaborative systems provide convenience to our lives, they also face many security threats. One of them is the Low-rate Distributed Denial-of-Service (LDDoS) attack, which is a worthy concern. Unlike volumetric DDoS attacks that continuously send large volumes of traffic, LDDoS attacks are more stealthy and difficult to be detected owing to ...
Tianyang Cai +4 more
openaire +3 more sources
A HMM-R Approach to Detect L-DDoS Attack Adaptively on SDN Controller
Future Internet, 2018 A data center network is vulnerable to suffer from concealed low-rate distributed denial of service (L-DDoS) attacks because its data flow has the characteristics of data flow delay, diversity, and synchronization.
Wentao Wang, Xuan Ke, Lingxia Wang
doaj +2 more sources
Detecting DDoS attack based on compensation non-parameter CUSUM algorithm
Tongxin xuebao, 2008 An effective DDoS attack detection method on target-end network was proposed.The main goal was to detect attack in early stages with few expenditure,and record the suspicious packets in the same time.For DDoS attacks which based on TCP,many ...
YAN Fen1~3 +3 more
doaj +3 more sources
CAAI Transactions on Intelligence Technology, EarlyView., 2023 Abstract This research focuses on addressing the privacy issues in healthcare advancement monitoring with the rapid establishment of the decentralised communication system in the Internet of Medical Things (IoMT). An integrated blockchain homomorphic encryption standard with an in‐build supervised learning‐based smart contract is designed to improvise ...
Chandramohan Dhasarathan +7 more
wiley +1 more source
Techniques for DDoS Attack in SDN: A Comparative Study [PDF]
IJCI International Journal of Computers and Information, 2022 Software-Defined Networking (commonly referred to as SDN) is a newer paradigm that develops the concept of a software-driven network by separating data and control planes. It can handle the traditional network problems.
Mahmoud Hussien +2 more
doaj +1 more source
Resilient intrusion detection system for adversarial attacks on Low-Rate DDoS
International Journal of Machine Learning and Cybernetics, 2023 Abstract With the increase of attacks and illegal activities on networks, there has become an urgent need for systems that detect these activities and attacks and protect networks, such as intrusion detection systems that have an important role in protecting computer networks.
Qasem Abu Al-Haija, Ayat Droos
openaire +1 more source
Applied Sciences, 2022 The increasing incidence of distributed denial-of-service (DDoS) attacks has made software-defined networking (SDN) more vulnerable to the depletion of controller resources.
Mohammad Adnan Aladaileh +5 more
doaj +1 more source