Detecting Malicious Activities using Veriflow

This paper aims to detect malicious activities present in SDN by combining the concepts from two state of the art solutions VeriFlow and Sphinx. The presented solution establishes a two way communication between SDN controller and Veriflow. It also adds the capability to receive and parse TCP/UDP packets and detect attacks like ARP spoofing, network DDOS, firewall bypass, and fragmentation attack.

Authors

Publication Details

Journal
International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
Published
2025-05-31
DOI
https://doi.org/10.37082/ijirmps.v13.i3.232509
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Detecting Malicious Activities using Veriflow

Akshatha Kadri, Nikhita Kataria
International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences
Advanced Malware Detection Techniques
article

Detecting Malicious Activities using Veriflow

Akshatha Kadri, Nikhita Kataria
article en

Abstract

This paper aims to detect malicious activities present in SDN by combining the concepts from two state of the art solutions VeriFlow and Sphinx. The presented solution establishes a two way communication between SDN controller and Veriflow. It also adds the capability to receive and parse TCP/UDP packets and detect attacks like ARP spoofing, network DDOS, firewall bypass, and fragmentation attack.

International Journal of Innovative Research in Engineering & Multidisciplinary Physical SciencesVol. 13(3)
Openalex Percentile: Top 87%
Advanced Malware Detection Techniques
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Detecting Malicious Activities using Veriflow — Akshatha Kadri, Nikhita Kataria · International Journal of Innovative Research in Engineering & Multidisciplinary Physical Sciences (2025) | TGRS Research Map | TGRS