An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks: SAD-F: Spark Based Anomaly Detection Framework

An Intelligent and Time-Efficient DDoS Identification Framework for Real-Time Enterprise Networks: SAD-F: Spark Based Anomaly Detection Framework

Enterprise networks face a large number of threats that are managed and mitigated with a combination of proprietary and third-party security tools and services. However, the techniques and principles employed by the said tools, processes, and services are quite conventional. They lack the rapid evol...

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Bibliographic Details
Main Authors: Awais Ahmed, Sufian Hameed, Muhammad Rafi, Qublai Khan Ali Mirza
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Anomaly detection
apache spark
big data analytics
DDoS
machine learning
malware
Online Access:https://ieeexplore.ieee.org/document/9284427/

Internet

https://ieeexplore.ieee.org/document/9284427/

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