An Advanced Comparative Study of Ransomware Anomaly Detection Techniques Through Optimized Hyperparameters

Author:

Sharma PriynkaORCID,Chaudhary KaylashORCID

Publisher

Springer Nature Singapore

Reference22 articles.

1. Baddar SWA-H, Merlo A, Migliardi M (2014) Anomaly detection in computer networks: a state-of-the-art review. J Wirel Mob Netw Ubiquit Comput Dependable Appl 5(4):29–64

2. Bharadiya JP (2023) A review of Bayesian machine learning principles, methods, and applications. Int J Innov Sci Res Technol 8(5):2033–2038

3. Bischl B et al (2023) Hyperparameter optimization: foundations, algorithms, best practices, and open challenges. Wiley Interdisc Rev Data Min Knowl Disc 13(2):e1484

4. Firdausi I, Erwin A, Nugroho AS (2010) Analysis of machine learning techniques used in behavior-based malware detection. In: 2010 second international conference on advances in computing, control, and telecommunication technologies. IEEE, pp 201–203

5. Hossain R, Timmer D (2021) Machine learning model optimization with hyper parameter tuning approach. Glob J Comput Sci Technol D Neural Artif Intell 21(2)

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