Use of Ensemble Learning to Detect Buffer Overflow Exploitation

Use of Ensemble Learning to Detect Buffer Overflow Exploitation

Software exploitation detection remains unresolved problem. Software exploits that target known and unknown vulnerabilities are constantly used in attacks. Signature-based detection techniques are limited to known exploits and susceptible to circumvention. Current research on the use of Machine Lear...

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Bibliographic Details
Main Authors: Ayman Youssef, Mohamed Abdelrazek, Chandan Karmakar
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Buffer overflow
exploitation detection
machine learning
random forests
XGBoost
Online Access:https://ieeexplore.ieee.org/document/10131927/

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