A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN Networks

The ever expanding the usage of cloud computing environments, connected applications and Internet of Things-based devices have progressively increased the amount of data that travels through our networks. Software-defined network (SDN) is an emergent paradigm that aims to support next-generation net...

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Main Authors: Marcos V. O. De Assis, Anderson H. Hamamoto, Taufik Abrao, Mario Lemes Proenca
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/7923413/
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author Marcos V. O. De Assis
Anderson H. Hamamoto
Taufik Abrao
Mario Lemes Proenca
author_facet Marcos V. O. De Assis
Anderson H. Hamamoto
Taufik Abrao
Mario Lemes Proenca
author_sort Marcos V. O. De Assis
collection DOAJ
description The ever expanding the usage of cloud computing environments, connected applications and Internet of Things-based devices have progressively increased the amount of data that travels through our networks. Software-defined network (SDN) is an emergent paradigm that aims to support next-generation networks through its flexible and powerful management mechanisms. One of the biggest threats faced by these services nowadays is security management. Attacks based on the denial of service (DoS) are particularly efficient against this paradigm due to its centralized control characteristic. Once this controlling system receives a massive amount of malicious requests, the overall performance of the network operation is impaired. Although several researches propose to address this problem, most of them are reactive approaches, detecting the attacks and warning the network administrators, i.e., after the network is already compromised. This paper presents an autonomic DoS/DDoS defensive approach for SDNs called Game Theory (GT)-Holt-Winters for Digital Signature (HWDS), which unites the anomaly detection and identification provided by an HWDS system with an autonomous decision-making model based on GT. Real collected data and simulated attacks are used by the system to measure its effectiveness and efficiency. Furthermore, we also use a heuristic Fuzzy-GADS method for anomaly detection instead of HWDS, aiming to compare the achieved performance and evaluate the behavior of the presented game theoretical approaches a standalone mitigation module.
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spelling doaj.art-7c2e66d478254b35ae9ef23a57deea562022-12-21T23:03:25ZengIEEEIEEE Access2169-35362017-01-0159485949610.1109/ACCESS.2017.27023417923413A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN NetworksMarcos V. O. De Assis0https://orcid.org/0000-0002-3145-5839Anderson H. Hamamoto1Taufik Abrao2https://orcid.org/0000-0001-8678-2805Mario Lemes Proenca3Engineering and Exact Department, Federal University of Paraná, Palotina, BrazilComputer Science Department, State University of Londrina, Londrina, BrazilDepartment of Electrical Engineering, State University of Londrina, Londrina, BrazilComputer Science Department, State University of Londrina, Londrina, BrazilThe ever expanding the usage of cloud computing environments, connected applications and Internet of Things-based devices have progressively increased the amount of data that travels through our networks. Software-defined network (SDN) is an emergent paradigm that aims to support next-generation networks through its flexible and powerful management mechanisms. One of the biggest threats faced by these services nowadays is security management. Attacks based on the denial of service (DoS) are particularly efficient against this paradigm due to its centralized control characteristic. Once this controlling system receives a massive amount of malicious requests, the overall performance of the network operation is impaired. Although several researches propose to address this problem, most of them are reactive approaches, detecting the attacks and warning the network administrators, i.e., after the network is already compromised. This paper presents an autonomic DoS/DDoS defensive approach for SDNs called Game Theory (GT)-Holt-Winters for Digital Signature (HWDS), which unites the anomaly detection and identification provided by an HWDS system with an autonomous decision-making model based on GT. Real collected data and simulated attacks are used by the system to measure its effectiveness and efficiency. Furthermore, we also use a heuristic Fuzzy-GADS method for anomaly detection instead of HWDS, aiming to compare the achieved performance and evaluate the behavior of the presented game theoretical approaches a standalone mitigation module.https://ieeexplore.ieee.org/document/7923413/Game theoryHWDSfuzzy logicGADSdenial of service
spellingShingle Marcos V. O. De Assis
Anderson H. Hamamoto
Taufik Abrao
Mario Lemes Proenca
A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN Networks
IEEE Access
Game theory
HWDS
fuzzy logic
GADS
denial of service
title A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN Networks
title_full A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN Networks
title_fullStr A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN Networks
title_full_unstemmed A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN Networks
title_short A Game Theoretical Based System Using Holt-Winters and Genetic Algorithm With Fuzzy Logic for DoS/DDoS Mitigation on SDN Networks
title_sort game theoretical based system using holt winters and genetic algorithm with fuzzy logic for dos ddos mitigation on sdn networks
topic Game theory
HWDS
fuzzy logic
GADS
denial of service
url https://ieeexplore.ieee.org/document/7923413/
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