Enhancing Network Security: Leveraging Isolation Forest for Malware Detection-Reference-Cited by-同舟云学术

Enhancing Network Security: Leveraging Isolation Forest for Malware Detection

Published:2024-05-02 Issue: Volume:VI Page:230-234
ISSN:
Container-title:2024 2nd International Conference on Advancement in Computation & Computer Technologies (InCACCT)
language:
Short-container-title:

Author:

Pawar Janardan Adinath¹,Avhankar Madhavi Satish¹,Gupta Ashulekha²,Barve Amit³,Patil Harshal⁴,Maranan Ramya⁵

Affiliation:

1. Indira College of Commerce and Science,Department of Computer Science,Pune,Maharashtra,India

2. Graphic Era Deemed to be University,Department of Management,Dehradun,Uttarakhand,India

3. Parul University, P.O. Limda,Parul Institute of Technology, Faculty of Engineering and Technology,Department of Computer Science and Engineering,Gujarat,India

4. Symbiosis Institute of Technology, Symbiosis International (Deemed University),Department of Computer Science and Engineering,Pune,Maharashtra,India

5. SIMATS,Saveetha School of Engineering,Department of Research and Innovation,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10550186/10550954/10550968.pdf?arnumber=10550968

Reference15 articles.

1. Analysis of recent trends in malware attacks on android phone: a survey using scopus database;Sonali Kothari;Library Philosophy and Practice,2021

2. Privacy Preservation in Data Mining Using Hybrid Artificial Neural Network and Particle Swarm Optimization;Sambath Kumar;JASC: Journal of Applied Science and Computations,2019

3. Real-Time Image Privacy Preservation using AES with Salt key and Gaussian Blur Algorithms with the application of Data Perturbation in Cloud

4. Detection of Advanced Malware by Machine Learning Techniques

5. Malware Classification Using Image Representation