Blockchain Based Solutions to Mitigate Distributed Denial of Service (DDoS) Attacks in the Internet of Things (IoT): A Survey [PDF]
Sensors, 2022 Internet of Things (IoT) devices are widely used in many industries including smart cities, smart agriculture, smart medical, smart logistics, etc.
Zawar Shah +4 more
doaj +4 more sources
Memcached: An Experimental Study of DDoS Attacks for the Wellbeing of IoT Applications [PDF]
Sensors, 2021 Distributed denial-of-service (DDoS) attacks are significant threats to the cyber world because of their potential to quickly bring down victims. Memcached vulnerabilities have been targeted by attackers using DDoS amplification attacks. GitHub and Arbor
Nivedita Mishra +8 more
doaj +2 more sources
Identifying Hybrid DDoS Attacks in Deterministic Machine-to-Machine Networks on a Per-Deterministic-Flow Basis [PDF]
Micromachines, 2021 The Deterministic Network (DetNet) is becoming a major feature for 5G and 6G networks to cope with the issue that conventional IT infrastructure cannot efficiently handle latency-sensitive data.
Yen-Hung Chen +2 more
doaj +2 more sources
HLD-DDoSDN: High and low-rates dataset-based DDoS attacks against SDN. [PDF]
PLoS ONESoftware 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 ...
Abdullah Ahmed Bahashwan +6 more
doaj +2 more sources
Low-Rate DDoS Attack Detection Based on Factorization Machine in Software Defined Network
IEEE Access, 2020 As the Software Define Network (SDN) adopts centralized control logic, it is vulnerable to various types of Distributed Denial of Service (DDoS) attacks.
Wu Zhijun +4 more
doaj +3 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 +1 more source
DDoS attacks and machine‐learning‐based detection methods: A survey and taxonomy
Engineering Reports, 2023 Distributed denial of service (DDoS) attacks represent a significant cybersecurity challenge, posing a critical risk to computer networks. Developing an effective defense mechanism against these attacks is crucial but challenging, given their diverse ...
Mohammad Najafimehr +2 more
doaj +1 more source
Impact of Defending Strategy Decision on DDoS Attack
Complexity, 2021 Distributed denial-of-service (DDoS) attack is a serious threat to cybersecurity. Many strategies used to defend against DDoS attacks have been proposed recently.
Chunming Zhang
doaj +1 more source
Construction of DDoS attacks malicious behavior knowledge base construction
Dianxin kexue, 2021 Aiming at the problem of insufficient research on the knowledge base of distributed denial of service (DDoS) network attacks, a method for constructing a knowledge base of DDoS attacks malicious behavior was proposed.The knowledge base was constructed ...
Feiyang LIU +3 more
doaj +2 more sources
Network Protection Against DDoS Attacks
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems, 2015 The paper deals with possibilities of the network protection against Distributed Denial of Service attacks (DDoS). The basic types of DDoS attacks and their impact on the protected network are presented here.
Petr Dzurenda +2 more
doaj +1 more source