OCLEP+: One-class Anomaly and Intrusion Detection Using Minimal Length of Emerging Patterns

2018/11/24 by Guozhu Dong, Dong, Guozhu, Sai Kiran Pentukar +1
Computer Science · #Advanced Malware Detection Techniques #Anomaly Detection Techniques and Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Network Security and Intrusion Detection

paper · pdf · doi:10.48550/arxiv.1811.09842

openalex publication_date 2018/11/24 · openalex created_date 2018/11/29 · openalex updated_date 2026/07/28

Abstract

This paper presents a method called One-class Classification using Length statistics of Emerging Patterns Plus (OCLEP+).

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