Do Hoang et al., 2021 - Google Patents
Empirical study on reconnaissance attacks in SDN-aware network for evaluating cyber deceptionDo Hoang et al., 2021
- Document ID
- 6370783204121212546
- Author
- Do Hoang H
- Pham V
- et al.
- Publication year
- Publication venue
- 2021 RIVF International Conference on Computing and Communication Technologies (RIVF)
External Links
Snippet
Thanks to advances in network architecture with Software-Defined Networking (SDN) paradigm, there are various approaches for eliminating attack surface in the largescale networks relied on the essence of the SDN principle. They are ranging from intrusion …
- 238000000034 method 0 abstract description 44
Classifications
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- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1441—Countermeasures against malicious traffic
- H04L63/1458—Denial of Service
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- H04L63/00—Network architectures or network communication protocols for network security
- H04L63/14—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic
- H04L63/1408—Network architectures or network communication protocols for network security for detecting or protecting against malicious traffic by monitoring network traffic
- H04L63/1425—Traffic logging, e.g. anomaly detection
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- H04L63/1441—Countermeasures against malicious traffic
- H04L63/1491—Countermeasures against malicious traffic using deception as countermeasure, e.g. honeypots, honeynets, decoys or entrapment
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- H04L63/1416—Event detection, e.g. attack signature detection
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- H04L63/145—Countermeasures against malicious traffic the attack involving the propagation of malware through the network, e.g. viruses, trojans or worms
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