DDoS attacks and machine‐learning‐based detection methods: A survey and taxonomy
Distributed denial of service (DDoS) attacks represent a significant cybersecurity challenge,
posing a critical risk to computer networks. Develo** an effective defense mechanism …
posing a critical risk to computer networks. Develo** an effective defense mechanism …
Maritime Autonomous Surface Ships: A Review of Cybersecurity Challenges, Countermeasures, and Future Perspectives
N Tabish, T Chaur-Luh - IEEE Access, 2024 - ieeexplore.ieee.org
Maritime Autonomous Surface Ships (MASS) have brought a transformative wave in the
marine industry, yielding unprecedented operational advancements and efficiency gains …
marine industry, yielding unprecedented operational advancements and efficiency gains …
A hybrid approach based on PUF and ML to protect MQTT based IoT system from DDoS attacks
A Sharma, K Bhushan - Cluster Computing, 2024 - Springer
IoT application uses MQTT, an application layer protocol that facilitates machine-to-machine
communication using a central entity called broker. The vulnerability lies in the broker being …
communication using a central entity called broker. The vulnerability lies in the broker being …
Flow and unified information-based DDoS attack detection system for multi-topology IoT networks
Abstract Internet of Things (IoT) networks are vulnerable to Distributed Denial of Service
(DDoS) attacks, which can degrade their Quality of Service (QoS). In general, DDoS attacks …
(DDoS) attacks, which can degrade their Quality of Service (QoS). In general, DDoS attacks …
[HTML][HTML] Enhancing DDoS attack detection in IoT using PCA
Abstract Internet of Things (IoT) security and reliability rely on the capacity to identify
distributed denial-of-service (DDoS) assaults in IoT networks. This research presents a …
distributed denial-of-service (DDoS) assaults in IoT networks. This research presents a …
Maritime Cybersecurity: A Comprehensive Review
M Li, J Zhou, S Chattopadhyay, M Goh - arxiv preprint arxiv:2409.11417, 2024 - arxiv.org
The maritime industry stands at a critical juncture, where the imperative for technological
advancement intersects with the pressing need for robust cybersecurity measures. Maritime …
advancement intersects with the pressing need for robust cybersecurity measures. Maritime …
Conditional entropy-based hybrid DDoS detection model for IoT networks
N Pandey, PK Mishra - Computers & Security, 2025 - Elsevier
In a distributed denial-of-service (DDoS) attack, an attacker channelizes the resources of a
botnet to launch denial of service attack on the victim. The increased use of IoT devices and …
botnet to launch denial of service attack on the victim. The increased use of IoT devices and …
Blockchain-based Decentralized trust aggregation for federated cyber-attacks classification in SDN-enabled maritime transportation systems
Maritime transportation systems (MTS) based on software-defined networks (SDN) offer
reliability, efficiency, and flexibility in network connection and configuration. However, these …
reliability, efficiency, and flexibility in network connection and configuration. However, these …
[PDF][PDF] An Efficient IoT-based Ubiquitous Networking Service for Smart Cities Using Machine Learning Based Regression Algorithm
In recent days, the smart city project has been emerging concept all over the world. In this
process, the proper communication between the sensors and the smart devices, and …
process, the proper communication between the sensors and the smart devices, and …
Machine Learning and Internet-of-Things Solutions for Microgrid Resilient Operation
Microgrids inherently have lower inertia in comparison with the power system due to the
high penetration of renewable generation sources. On the other hand, the lower spring …
high penetration of renewable generation sources. On the other hand, the lower spring …