Liu et al., 2022 - Google Patents
Topology sensing of non-collaborative wireless networks with conditional Granger causalityLiu et al., 2022
- Document ID
- 12550470445438111913
- Author
- Liu Z
- Wang W
- Ding G
- Wu Q
- Wang X
- Publication year
- Publication venue
- IEEE Transactions on Network Science and Engineering
External Links
Snippet
Topology sensing of non-collaborative wireless networks is a challengingtask due to the limited available information resulting from the inherent non-collaborative characteristics. To address this issue, this paper investigates the topology sensing by effectively exploiting a …
- 238000004422 calculation algorithm 0 abstract description 50
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- 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
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- 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
- H04L63/1416—Event detection, e.g. attack signature detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/02—Details
- H04L12/26—Monitoring arrangements; Testing arrangements
- H04L12/2602—Monitoring arrangements
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing packet switching networks
- H04L43/08—Monitoring based on specific metrics
- H04L43/0852—Delays
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
- H04L41/12—Arrangements for maintenance or administration or management of packet switching networks network topology discovery or management
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
- H04L41/14—Arrangements for maintenance or administration or management of packet switching networks involving network analysis or design, e.g. simulation, network model or planning
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
- H04L41/16—Network management using artificial intelligence
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance or administration or management of packet switching networks
- H04L41/06—Arrangements for maintenance or administration or management of packet switching networks involving management of faults or events or alarms
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L45/00—Routing or path finding of packets in data switching networks
- H04L45/02—Topology update or discovery
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L12/00—Data switching networks
- H04L12/54—Store-and-forward switching systems
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network-specific arrangements or communication protocols supporting networked applications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N99/00—Subject matter not provided for in other groups of this subclass
- G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Baig et al. | Averaged dependence estimators for DoS attack detection in IoT networks | |
Mowla et al. | Federated learning-based cognitive detection of jamming attack in flying ad-hoc network | |
Wang et al. | Machine learning for networking: Workflow, advances and opportunities | |
Bangui et al. | A hybrid machine learning model for intrusion detection in VANET | |
Napiah et al. | Compression header analyzer intrusion detection system (CHA-IDS) for 6LoWPAN communication protocol | |
Liu et al. | Network traffic classification using k-means clustering | |
Junejo et al. | Trustee: A trust management system for fog-enabled cyber physical systems | |
Behniafar et al. | A Survey of Anomaly Detection Approaches in Internet of Things. | |
Liu et al. | Topology sensing of non-collaborative wireless networks with conditional Granger causality | |
Liu et al. | Cooperative topology sensing of wireless networks with distributed sensors | |
Umarani et al. | Intrusion detection system using hybrid tissue growing algorithm for wireless sensor network | |
Ma et al. | DDoS detection for 6G Internet of Things: Spatial-temporal trust model and new architecture | |
Chaudhary et al. | Intrusion detection system based on genetic algorithm for detection of distribution denial of service attacks in MANETs | |
Dharini et al. | ELPC-trust framework for wireless sensor networks | |
Rui et al. | Secure routing in the Internet of Things (IoT) with intrusion detection capability based on software-defined networking (SDN) and Machine Learning techniques | |
Shamshirband et al. | Co-FQL: Anomaly detection using cooperative fuzzy Q-learning in network | |
Geepthi et al. | RETRACTED ARTICLE: Network traffic detection for peer-to-peer traffic matrices on bayesian network in WSN | |
Ikhlef et al. | Link state estimator for VANETs using neural networks | |
Shirafkan et al. | An autonomous intrusion detection system for the RPL protocol | |
Ma et al. | Threat-event detection for distributed networks based on spatiotemporal markov random field | |
Choukri et al. | A novel deep learning-based framework for blackhole attack detection in unsecured RPL networks | |
Abdel-Fattah et al. | Distributed and cooperative hierarchical intrusion detection on MANETs | |
Chaudhary et al. | Design an anomaly-based intrusion detection system using soft computing for mobile ad hoc networks | |
Sahay et al. | Traffic convergence detection in IoT LLNs: a multilayer perceptron based mechanism | |
Li et al. | Cyber performance situation awareness on fuzzy correlation analysis |