Adaptive machine learning based distributed denial-of-services attacks detection and mitigation system for SDN-enabled IoT
The development of smart network infrastructure of the Internet of Things (IoT) faces the
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …
immense threat of sophisticated Distributed Denial-of-Services (DDoS) security attacks. The …
A new network forensic framework based on deep learning for Internet of Things networks: A particle deep framework
With the prevalence of Internet of Things (IoT) systems, inconspicuous everyday household
devices are connected to the Internet, providing automation and real-time services to their …
devices are connected to the Internet, providing automation and real-time services to their …
A framework to detect DDoS attack in Ryu controller based software defined networks using feature extraction and classification
Abstract Software Defined Network (SDN) is an emerging network architecture and is being
used in many IT industries and academia. Its popularity in the present age has attracted …
used in many IT industries and academia. Its popularity in the present age has attracted …
Enhancing network forensics with particle swarm and deep learning: The particle deep framework
N Koroniotis, N Moustafa - arXiv preprint arXiv:2005.00722, 2020 - arxiv.org
The popularity of IoT smart things is rising, due to the automation they provide and its effects
on productivity. However, it has been proven that IoT devices are vulnerable to both well …
on productivity. However, it has been proven that IoT devices are vulnerable to both well …
Analisis Forensik Aplikasi Michat Menggunakan Metode Digital Forensics Research Workshop
Abstrak− Perkembangan teknologi informasi yang sangat pesat telah menghasilkan
berbagai dampak positif dan negatif. Dampak positif yang dapat ditimbulkan oleh teknologi …
berbagai dampak positif dan negatif. Dampak positif yang dapat ditimbulkan oleh teknologi …
DDoS attack detection and classification via Convolutional Neural Network (CNN)
AR Shaaban, E Abd-Elwanis… - 2019 Ninth International …, 2019 - ieeexplore.ieee.org
Distributed Denial of Service (DDoS) attacks became the most widely spread attack because
it is easily designed and executed but it is very difficult to detect and mitigate. Several …
it is easily designed and executed but it is very difficult to detect and mitigate. Several …
[PDF][PDF] Designing an effective network forensic framework for the investigation of botnets in the Internet of Things
N Koroniotis - 2020 - unsworks.unsw.edu.au
In recent times, the world has come to rely greatly on the Internet and the services that it
provides. As such, it should come as no surprise that innovations that harness the …
provides. As such, it should come as no surprise that innovations that harness the …
Public opinion analysis of presidential candidate using Naïve Bayes method
Elections for president and vice president will take place in 2024. Heading into the election,
promoted candidates were vying for public sympathy. People often discussed as …
promoted candidates were vying for public sympathy. People often discussed as …
Implementation of naïve Bayes for fish freshness identification based on image processing
Consumption of fish as a food requirement for the fulfillment of community nutrition is
increasing. This was followed by an increase in the amount of fish caught that were sold at …
increasing. This was followed by an increase in the amount of fish caught that were sold at …
The use of machine learning in digital forensics
Y Al Balushi, H Shaker, B Kumar - 1st International Conference …, 2023 - atlantis-press.com
With the increase of cybercrimes in the current years, digital forensics has become an
important matter to study in order achieve quality evidence. Forensic investigators face …
important matter to study in order achieve quality evidence. Forensic investigators face …