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Common network attack types and defense mechanisms

https://doi.org/10.1109/siu.2015.7130435

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

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Utilizing bloom filters for detecting flooding attacks against SIP based services

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A Four-StepTechnique forTackling DDoS Attacks

inferredcites →https://doi.org/10.1109/csac.2003.1254311openalex-snapshot

S-ARP: a secure address resolution protocol

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Building Computer Network Attacks

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Botnet-based Distributed Denial of Service (DDoS) Attacks on Web Servers: Classification and Art

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Classification of Artificial Intelligence IDS for Smurf Attack

inferredcites →https://doi.org/10.5121/ijcsit.2010.2301openalex-snapshot

Efficient Resource Matching in Heterogeneous Grid Using Resource Vector

What points at this work

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

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Smart Cyber Defense: Machine Learnig Powered Intrusion Detection in 802.11 Networks

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Packet tracing and analysis of network cameras with Wireshark

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NAIDS design using ChiMIC-KGS

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Identifying Security Threats in the System Using Automated Security Logs

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Software-based computing platform as an experimental topology assembled to detect and mitigate DDoS attacks using virtual environments

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Packet Injection Attack and Its Defense in Software-Defined Networks

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TOW-IDS: Intrusion Detection System Based on Three Overlapped Wavelets for Automotive Ethernet

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INTELLIGENT MODEL FOR CLASSIFYING NETWORK CYBERSECURITY EVENTS

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Usage of Machine Learning for Intrusion Detection in a Network

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A Novel Routing Scheme to Avoid Link Error and Packet Dropping in Wireless Sensor Networks

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Hybridization Of Support Vector Machine With Cat Swarm Algorithm For Intrusion Detection

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A Local Feature Engineering Strategy to Improve Network Anomaly Detection

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Utilizing Machine LearningTechniques for Detection of Intrusion in a Network

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Network Intrusion Detection Using Machine-Learning Techniques

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