Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT
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Title
Adaptive Machine Learning Based Distributed Denial-of-Services Attacks Detection and Mitigation System for SDN-Enabled IoT
Authors
Keywords
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Journal
SENSORS
Volume 22, Issue 7, Pages 2697
Publisher
MDPI AG
Online
2022-04-01
DOI
10.3390/s22072697
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- (2019) Gang Liu et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Internet of Things: A survey on machine learning-based intrusion detection approaches
- (2019) Kelton A.P. da Costa et al. Computer Networks
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- (2019) Jianjian Ai et al. IEEE COMMUNICATIONS LETTERS
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- (2019) Soodeh Hosseini et al. Computer Networks
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- (2018) Luiz Fernando Carvalho et al. EXPERT SYSTEMS WITH APPLICATIONS
- D-FACE: An anomaly based distributed approach for early detection of DDoS attacks and flash events
- (2018) Sunny Behal et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- A DDoS Attack Detection Method Based on SVM in Software Defined Network
- (2018) Jin Ye et al. Security and Communication Networks
- Survey on SDN based network intrusion detection system using machine learning approaches
- (2018) Nasrin Sultana et al. Peer-to-Peer Networking and Applications
- A DDoS Attack Detection and Mitigation With Software-Defined Internet of Things Framework
- (2018) Da Yin et al. IEEE Access
- An Inter-domain Collaboration Scheme to Remedy DDoS Attacks in Computer Networks
- (2018) Steven Simpson et al. IEEE Transactions on Network and Service Management
- Securing the Internet of Things in the Age of Machine Learning and Software-defined Networking
- (2018) Francesco Restuccia et al. IEEE Internet of Things Journal
- An Inter-domain Collaboration Scheme to Remedy DDoS Attacks in Computer Networks
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- (2017) Fadi Al-Turjman Future Generation Computer Systems-The International Journal of eScience
- Software Defined Networking Architecture, Security and Energy Efficiency: A Survey
- (2017) Danda B. Rawat et al. IEEE Communications Surveys and Tutorials
- An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications
- (2017) Taiyang Wu et al. IEEE Access
- Optimal allocation of FACTS devices for static security enhancement in power systems via imperialistic competitive algorithm (ICA)
- (2016) A. Rezaee Jordehi APPLIED SOFT COMPUTING
- When big data meets software-defined networking: SDN for big data and big data for SDN
- (2016) Laizhong Cui et al. IEEE NETWORK
- SD-Anti-DDoS: Fast and efficient DDoS defense in software-defined networks
- (2016) Yunhe Cui et al. JOURNAL OF NETWORK AND COMPUTER APPLICATIONS
- Botnet in DDoS Attacks: Trends and Challenges
- (2015) Nazrul Hoque et al. IEEE Communications Surveys and Tutorials
- Byzantine-Resilient Secure Software-Defined Networks with Multiple Controllers in Cloud
- (2014) He Li et al. IEEE Transactions on Cloud Computing
- Detection and defense of application-layer DDoS attacks in backbone web traffic
- (2013) Wei Zhou et al. Future Generation Computer Systems-The International Journal of eScience
- Detection of malicious and non-malicious website visitors using unsupervised neural network learning
- (2012) Dusan Stevanovic et al. APPLIED SOFT COMPUTING
- A Survey on the Application of FPGAs for Network Infrastructure Security
- (2010) Hao Chen et al. IEEE Communications Surveys and Tutorials
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