A comprehensive study of DDoS attacks over IoT network and their countermeasures
IoT offers capabilities to gather information from digital devices, infer from their results, and
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …
maintain and optimize these devices in different domains. IoT is heterogeneous in nature …
Machine-learning-enabled ddos attacks detection in p4 programmable networks
Abstract Distributed Denial of Service (DDoS) attacks represent a major concern in modern
Software Defined Networking (SDN), as SDN controllers are sensitive points of failures in …
Software Defined Networking (SDN), as SDN controllers are sensitive points of failures in …
Towards learning-automation IoT attack detection through reinforcement learning
As a massive number of the Internet of Things (IoT) devices are deployed, the security and
privacy issues in IoT arouse more and more attention. The IoT attacks are causing …
privacy issues in IoT arouse more and more attention. The IoT attacks are causing …
[PDF][PDF] Computational intelligent techniques to detect ddos attacks: a survey
I Sood, V Sharma - Journal of Cybersecurity, 2021 - cdn.techscience.cn
The Internet is often targeted by the Distributed Denial of Service (DDOS) Attacks that
deliberately utilize resources and bandwidth to prohibit access to potential users. The attack …
deliberately utilize resources and bandwidth to prohibit access to potential users. The attack …
[PDF][PDF] Intrusion prevention system using convolutional neural network for wireless sensor network
Now-a-days, there is exponential growth in the field of wireless sensor network. In wireless
sensor networks (WSN's), most of communication happen through wireless media hence …
sensor networks (WSN's), most of communication happen through wireless media hence …
New approach to determine DDoS attack patterns on SCADA system using machine learning
FA Alhaidari, EM Al-Dahasi - 2019 International conference on …, 2019 - ieeexplore.ieee.org
Recently, the importance of Supervisory Control and Data Acquisition (SCADA) systems has
grown for many industries around the world. These systems are controlling many vital …
grown for many industries around the world. These systems are controlling many vital …
Machine learning classification of port scanning and DDoS attacks: A comparative analysis
Cyber security is one of the major concerns of today's connected world. For all the platforms
of today's communication technology such as wired, wireless, local and remote access, the …
of today's communication technology such as wired, wireless, local and remote access, the …
Analysis of deterministic and stochastic Petri nets
G Ciardo, C Lindemann - … of 5th International Workshop on Petri …, 1993 - ieeexplore.ieee.org
A time and space efficient algorithm for computing steady state solutions of deterministic and
stochastic Petri nets (DSPNs) with both stochastic and structural extensions is presented …
stochastic Petri nets (DSPNs) with both stochastic and structural extensions is presented …
[PDF][PDF] A mechanism for prevention of flooding based ddos attack
N Patani, R Patel - International Journal of Computational …, 2017 - academia.edu
Flooding Attack threatens among all the flavors of DDoS (Distributed Denial of Service)
causing deadliest impact in a network/Internet. As the ability of DDoS, it doesn't need to have …
causing deadliest impact in a network/Internet. As the ability of DDoS, it doesn't need to have …
A study for DDOS attack classification method
A Sanmorino - Journal of Physics: Conference Series, 2019 - iopscience.iop.org
In this study, we discussed three DDoS attack classification methods based on machine
learning. The comparison is done to measure the accuracy rate of each machine learning …
learning. The comparison is done to measure the accuracy rate of each machine learning …