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Dynamic game model of botnet DDoS attack and defense

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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/sec.401openalex-snapshot
Bot detection evasion: a case study on local‐host alert correlation bot detection methods
inferredcites →https://doi.org/10.1002/sec.500openalex-snapshot
A graph‐theoretic framework for isolating botnets in a network
inferredcites →https://doi.org/10.1007/978-3-642-17197-0_10openalex-snapshot
ISPs and Ad Networks Against Botnet Ad Fraud
inferredcites →https://doi.org/10.1007/978-3-642-17197-0_9openalex-snapshot
A Game-Theoretical Approach for Finding Optimal Strategies in a Botnet Defense Model
inferredcites →https://doi.org/10.1016/j.comnet.2011.02.006openalex-snapshot
AntBot: Anti-pollution peer-to-peer botnets
inferredcites →https://doi.org/10.1016/j.comnet.2011.05.026openalex-snapshot
A fuzzy pattern-based filtering algorithm for botnet detection
inferredcites →https://doi.org/10.1016/j.comnet.2011.07.018openalex-snapshot
Identifying botnets by capturing group activities in DNS traffic
inferredcites →https://doi.org/10.1109/cicybs.2011.5949407openalex-snapshot
Game theory-based defense mechanisms against DDoS attacks on TCP/TCP-friendly flows
inferredcites →https://doi.org/10.1145/1053283.1053288openalex-snapshot
Incentive-based modeling and inference of attacker intent, objectives, and strategies
inferredcites →https://doi.org/10.1145/1878537.1878703openalex-snapshot
On modeling and simulation of game theory-based defense mechanisms against DoS and DDoS attacks
inferredcites →https://doi.org/10.1145/1952982.1952989openalex-snapshot
Practical defenses against pollution attacks in wireless network coding
inferredcites →https://doi.org/10.1145/2382196.2382255openalex-snapshot
Towards a bayesian network game framework for evaluating DDoS attacks and defense

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4795400openalex-extracted
Differential Game Approach for Modelling Attack and Defense Strategies in Distributed Denial-of-Service Attacks
inferred← citeshttps://doi.org/10.1002/ett.4517openalex-snapshot
A privacy‐preserving mechanism for social mobile crowdsensing using game theory
inferred← citeshttps://doi.org/10.1007/s41870-022-00946-5openalex-snapshot
DT-Model: a classification model for distributed denial of service attacks and flash events
inferred← citeshttps://doi.org/10.1007/s41870-022-01097-3openalex-snapshot
A behavioral model for characterizing flooding distributed denial of service attacks
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111160openalex-snapshot
Social network botnet attack mitigation model for cloud
inferred← citeshttps://doi.org/10.1016/j.simpa.2021.100173openalex-snapshot
The Botnet Simulator: A simulation tool for understanding the interaction between botnets
inferred← citeshttps://doi.org/10.1016/j.sysarc.2021.102143openalex-snapshot
The evolution of IoT Malwares, from 2008 to 2019: Survey, taxonomy, process simulator and perspectives
inferred← citeshttps://doi.org/10.1109/access.2019.2905812openalex-snapshot
Research on Detection and Defense Mechanisms of DoS Attacks Based on BP Neural Network and Game Theory
inferred← citeshttps://doi.org/10.1109/comm48946.2020.9141991openalex-snapshot
A Cybersecurity Model for Decision-Making Problems Under Uncertainty Using Game Theory
inferred← citeshttps://doi.org/10.1109/idaacs53288.2021.9661022openalex-snapshot
Detection DNS Tunneling Botnets
inferred← citeshttps://doi.org/10.1109/indicon47234.2019.9030355openalex-snapshot
Game Theory based Modified Naïve-bayes Algorithm to detect DoS attacks using Honeypot
inferred← citeshttps://doi.org/10.1109/tnsm.2020.3035342openalex-snapshot
REPEL: A Strategic Approach for Defending 5G Control Plane From DDoS Signalling Attacks
inferred← citeshttps://doi.org/10.1109/wispnet54241.2022.9767185openalex-snapshot
Security-Aware Malicious Event Detection using Multivariate Deep Regression Setup for Vehicular Ad hoc Network Aimed at Autonomous Transportation System
inferred← citeshttps://doi.org/10.1145/3314545.3314562openalex-snapshot
An Analysis of Botnet Models
inferred← citeshttps://doi.org/10.1155/2021/5097267openalex-snapshot
SDNDefender: A Comprehensive DDoS Defense Mechanism Using Hybrid Approaches over Software Defined Networking
inferred← citeshttps://doi.org/10.32604/cmc.2020.06177openalex-snapshot
DDoS Attack Detection via Multi-scale Convolutional Neural Network
inferred← citeshttps://doi.org/10.32657/10356/143006openalex-snapshot
The application of cyber-insurance in computer networks
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