Beyond data
Author:
Affiliation:
1. Yarmouk University, Jordan
2. University of Maryland, Baltimore, MD
Funder
State of Maryland, TEDCO (MII)
Northrop-Grumman Corporation, USA
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/2851613.2851636
Reference27 articles.
1. Context Infusion in Semantic Link Networks to Detect Cyber-attacks: A Flow-Based Detection Approach
2. Employing Honeynets For Network Situational Awareness
3. Anomaly detection
Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Everybody’s Got ML, Tell Me What Else You Have: Practitioners’ Perception of ML-Based Security Tools and Explanations;2023 IEEE Symposium on Security and Privacy (SP);2023-05
2. Contextual Anomaly Detection Methods for Addressing Intrusion Detection;Handbook of Research on Cyber Crime and Information Privacy;2021
3. A Systematic Mapping Study on Intrusion Alert Analysis in Intrusion Detection Systems;ACM Computing Surveys;2019-05-31
4. A DRDoS Detection and Defense Method Based on Deep Forest in the Big Data Environment;Algorithms and Architectures for Parallel Processing;2018
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