An Ensemble-Based Scalable Approach for Intrusion Detection Using Big Data Framework-Reference-Cited by-同舟云学术

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An Ensemble-Based Scalable Approach for Intrusion Detection Using Big Data Framework

Published:2021-08-01 Issue:4 Volume:9 Page:303-321
ISSN:2167-6461
Container-title:Big Data
language:en
Short-container-title:Big Data

Author:

Sahu Santosh Kumar¹,Mohapatra Durga Prasad¹,Rout Jitendra Kumar²,Sahoo Kshira Sagar³,Luhach Ashish Kr.⁴^ORCID

Affiliation:

1. Department of Computer Science and Engineering, NIT Rourkela, Odisha, India.

2. School of Computer Engineering, KIIT University, Bhubaneswar, Odisha, India.

3. Department of Computer Science and Engineering, SRM University, Amaravati, Andra Pradesh, India.

4. Department of Electrical and Communication Engineering, The PNG University of Technology, Lae, Papua New Guinea.

Publisher

Mary Ann Liebert Inc

Subject

Information Systems and Management,Computer Science Applications,Information Systems

Link

https://www.liebertpub.com/doi/pdf/10.1089/big.2020.0201

Reference28 articles.

1. A Framework for Fast and Efficient Cyber Security Network Intrusion Detection Using Apache Spark

2. The Big Picture on the “AI Turn” for Digital Health: The Internet of Things and Cyber-Physical Systems

3. Optimal Feature Selection for Big Data Classification: Firefly with Lion-Assisted Model

4. Global Health Security Risk Assessment in the Biological Threat Reduction Program

5. Healthcare Challenges in the Era of Cybersecurity

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4. Classification of Malware from the Network Traffic Using Hybrid and Deep Learning Based Approach;SN Computer Science;2024-01-08

5. Scalable Data Clustering For Health Behavior Analysis In Big Data Cloud Environments;2023 International Conference on Artificial Intelligence for Innovations in Healthcare Industries (ICAIIHI);2023-12-29

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