A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Adaptive Learning Method for DDoS Attacks on Software Defined Network Function Virtualization
2020
EAI Endorsed Transactions on Cloud Systems
Preserved Fulltext
The most important exposure is DDoS attack. The goals of this work to endorse a learning technique on DDoS attacks by SDN based system. ...
Software Defined Network (SDN) system controller stands with excessive benefits from the separated promoting devices. ...
In every situation, the transportation peer group is started then the traffic flow glide data from every control Adaptive Learning Method for DDoS Attacks on Software Defined Network Function Virtualization ...
doi:10.4108/eai.7-9-2020.166286
fatcat:pptrf3zr5bcahcfea74aommisq
A Review of Anomaly Detection Techniques and Distributed Denial of Service (DDoS) on Software Defined Network (SDN)
2018
Engineering, Technology & Applied Science Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
This research explains DDoS attacks and the anomaly detection as one of the famous detection techniques for intelligent networks. ...
Software defined network (SDN) is a network architecture in which the network traffic may be operated and managed dynamically according to user requirements and demands. ...
OF is considered one of the first software defined networking (SDN) standards. ...
doi:10.48084/etasr.1840
fatcat:6fkigapikrcdxcu5bo4yzue6nq
Multi-domain DDoS Mitigation Based on Blockchains
[chapter]
2017
Lecture Notes in Computer Science
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Technologies as blockchain and smart contracts allow distributing attack information across multiple domains, while SDN (Software-Defined Networking) and NFV (Network Function Virtualization) enables to ...
scale defense capabilities on demand for a single network domain. ...
Recent advances on networking technology, such as Softwaredefined Networking (SDN) and Network Function Virtualization (NFV) are gaining attention towards the establishment of software-defined infrastructures ...
doi:10.1007/978-3-319-60774-0_19
fatcat:zuulk3vmfvh5ni7br4vhlqool4
Adaptive DDoS Attack Detection Method Based on Multiple-Kernel Learning
2018
Security and Communication Networks
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In this paper, an adaptive DDoS attack detection method (ADADM) based on multiple-kernel learning (MKL) is proposed. ...
Based on the burstiness of DDoS attack flow, the distribution of addresses, and the interactivity of communication, we define five features to describe the network flow characteristic. ...
an adaptive DDoS attack detection method based on the ensemble learning framework. ...
doi:10.1155/2018/5198685
fatcat:nujpzxhgfvhwzf54vzk3ovvxly
Adaptive DDoS attack detection method based on multiple-kernel learning
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
In this paper, an adaptive DDoS attack detection method (ADADM) based on multiple kernel learning (MKL) is proposed. ...
Based on the burstiness of DDoS attack flow, the distribution of addresses and the interactivity of communication, we define five features to describe the network flow characteristic. ...
In this regard, Ashraf use machine-learning detection software to define DDoS attacks under the network [38]. ...
arXiv:1905.07893v1
fatcat:jbxnj3q5v5hw5coyevpnhljrr4
Proposed approach to detect distributed denial of service attacks in software defined network using machine learning algorithms
2018
International Journal of Engineering & Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2018; you can also visit the original URL.
The file type is application/pdf.
SDN (Software Defined Network) is rapidly gaining importance of 'programmable network' infrastructure. ...
This makes it easy to deploy new versions to the infrastructure and provides straightforward network virtualization. Distributed Denial-of-Service attack is a major cyber security threat to the SDN. ...
Software Defined Networks [3] is a new emerging paradigm for programmable networks. ...
doi:10.14419/ijet.v7i2.8.10488
fatcat:uzsmifn6rbbsnihksv4gqzuv3e
Machine Learning Approaches for Combating Distributed Denial of Service Attacks in Modern Networking Environments
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
INDEX TERMS DDoS attacks and detection, Internet of Things (IoT), machine learning (ML), network functions virtualization (NFV), software-defined network (SDN). ...
Additionally, the paper discusses different DDoS defense systems based on ML techniques that make use of a virtualized environment, including cloud computing, software-defined network, and network functions ...
Section VII and VIII provide a broad overview of the potential uses of ML to combat DDoS attacks in traditional and modern networking environments, including cloud computing, software-defined network ( ...
doi:10.1109/access.2021.3062909
fatcat:xtj576lfsffrbpiqyk2kv5wuam
An investigation of different DDOS attack detection methods in software-defined networks
2022
International Journal of Health Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is application/pdf.
Software-Defined Network is more vulnerable to more frequent and severe security attacks. ...
Analysis of the results shows limitations and sets the tone for future studies on the topic. ...
Software-Defined Networking focuses on the function of the software to monitor networks. ...
doi:10.53730/ijhs.v6ns1.4863
fatcat:hwhfiwntt5hhdc3afvsslfz2de
Analysis of Different Attacks on Software Defined Network and Approaches to Mitigate using Intelligent Techniques
2021
International Journal of Advanced Computer Science and Applications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Both Software Defined Networking (SDN) and Deep Learning (DL) have recently found a number of practical and fascinating applications in industry and academia. ...
An overview of deep learning algorithms for sensing distributed denial of service attacks in softwaredefined networks with Deep learning is presented within this article. ...
Distributed Denial-of-Service Attack Mitigation in Software Defined Network Mitigation of distributed denial of service (DDoS) attacks is also crucial for protecting network resources under assault. ...
doi:10.14569/ijacsa.2021.0120938
fatcat:r5cm4po2rnashlmu54kz2bhpgu
A Methodology to Alleviation of Security Attack in Software Defined Network
2019
International journal of recent technology and engineering
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Software-Defined Network (SDN) Provide dynamic and scalable networking offerings to Business Environments Cloud Network and Data Centers. ...
SDN is focused on network safety data plane and control. Security Challenges in SDN is Control Plane, Data Plane Attacks. ...
Security features the use of Software-Defined Networking (SDN) specifies necessities because of certain a framework for security purposes primarily based on network virtualization. ...
doi:10.35940/ijrte.c5887.098319
fatcat:c3kxyjsbozfcldsasxntmacxnq
Towards Crossfire Distributed Denial of Service Attack Protection using Intent-based Moving Target Defense over Software Defined Networking
2021
IEEE Access
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
ACKNOWLEDGMENT The Department of Computer Science and Software Engineering, NED University of Engineering and Technology, Karachi, Pakistan, supported this research project. ...
[17] presented a security method for Blind DDoS based on MTD utilizing numerous controllers. ...
NFV (NETWORK FUNCTION VIRTUALIZATION) The transformation in computer networks brought by NFV aids users to handover networking functions from vendorspecific and proprietary hardware applications to software ...
doi:10.1109/access.2021.3103845
fatcat:nvj3d6kfpzeqhcr44ys5i7dnrm
Detecting DDoS Attacks in Software-Defined Networks Through Feature Selection Methods and Machine Learning Models
2020
Sustainability
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Software Defined Networking (SDN) offers several advantages such as manageability, scaling, and improved performance. ...
In this study, DDoS attacks in SDN were detected using machine learning-based models. ...
Figure 1 . 1 Main targets of the Distributed Denial of Service (DDoS) attacks on Software Defined Networking (SDN). ...
doi:10.3390/su12031035
fatcat:pstxfffpj5ajvbkeg5zso4lwim
Application of Artificial Intelligence to Software Defined Networking: A Survey
2016
Indian Journal of Science and Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
Background/Objectives: This paper surveys the application of Artificial Intelligence (AI) to the Software Defined Networking (SDN) paradigm which is a part of previous efforts to give the computer networks ...
Applying reinforcement learning based technique in adaptive video streaming system compared with the shortest path routing and greedy-based approaches has shown decreasing of the frame loss rate by 89% ...
Whereas in 48 a Self-Organized Maps (SOM) approach for detection DDOS attack has been proposed. SOM is a variant of artificial neural networks based on unsupervised learning. ...
doi:10.17485/ijst/2016/v9i44/89812
fatcat:scdffvpmozcqjetsgiuvqack44
MITIGATING SLOW HYPERTEXT TRANSFER PROTOCOL DISTRIBUTED DENIAL OF SERVICE ATTACKS IN SOFTWARE DEFINED NETWORKS
2021
Journal of Information and Communication Technology
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
Algorithm and Support Vector Machine which facilitates attack mitigation in a Software-Defined Networking (SDN) environment simulated in GNS3. ...
Distributed Denial of Service (DDoS) attacks has been one of the persistent forms of attacks on information technology infrastructure connected to public networks due to the ease of access to DDoS attack ...
ACKNOWLEDGMENT This research received no specific grant from any funding agency in the public, commercial, or not-for-profit sectors. ...
doi:10.32890/jict2021.20.3.1
fatcat:n7f552xjtfcb3coqdpzku2syyu
Distributed Denial of Service Attack Categories in Software-Defined Networks
2018
Australian Journal of Basic and Applied Sciences
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Software-Defined Network (SDN) guarantees to disentangle administration, control of the organize, and make it adaptable by advancing a centralization control and characterizing the capacity to program ...
In expansion, it exploits the network virtualization function (NFV) (Q. Duan, 2016) capability to flexibly develop virtual machine defense (VM) resources at sites that are in need of it. ...
In the future, we aim to analyze several possible scenarios of DDoS attacks on the SDN network and analyze the results in detail in order to create a unique model for the defense of the court in order ...
doi:10.22587/ajbas.2018.12.11.6
fatcat:tdrscvehkrfqtmld3uxl7pdlai
« Previous
Showing results 1 — 15 out of 2,146 results