Enhancing Network Security Against APTs Through SVM-Based Network Traffic Analysis: Identifying Anomalies in Communication Flows-Reference-Cited by-同舟云学术

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Enhancing Network Security Against APTs Through SVM-Based Network Traffic Analysis: Identifying Anomalies in Communication Flows

Published:2024-04-26 Issue: Volume:14 Page:1-6
ISSN:
Container-title:2024 International Conference on Computing and Data Science (ICCDS)
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Author:

Rathor Ketan¹,V Keerthika²,Sunanda Karkala³,K Renuga⁴,Shobana A.⁵,Anusuya M⁶

Affiliation:

1. GyanSys Inc,Mumbai,India

2. Alliance University,Department of CSE,Bangalore,India

3. Malla Reddy College of Engineering, Maisammaguda, Dulapally,Department of CSE-AIML,Secunderabad,India

4. St.Joseph's Institute of Technology, OMR,Department of Mathematics,Chennai,India

5. Sri Krishna Arts and Science College,Department of Computer Applications,Coimbatore,India

6. Indra Ganesan College of Engineering,Department of Physics,Trichy,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10560061/10560357/10560434.pdf?arnumber=10560434

Reference17 articles.

1. SoK: History is a Vast Early Warning System: Auditing the Provenance of System Intrusions

2. Analysis of high volumes of network traffic for Advanced Persistent Threat detection

3. SteinerLog

4. System-level data management for endpoint advanced persistent threat detection: Issues, challenges and trends

5. Advanced Persistent Threats (APT): evolution, anatomy, attribution and countermeasures

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