Search Results for author: Aamo Iorliam

Found 2 papers, 0 papers with code

An Investigation of "Benford's" Law Divergence and Machine Learning Techniques for "Intra-Class" Separability of Fingerprint Images

no code implementations5 Jan 2022 Aamo Iorliam, Orgem Emmanuel, Yahaya I. Shehu

These results showed that Ben-ford's law features and machine learning techniques especially Decision Tree and CNN can be effectively applied for the classification of fingerprint images.

BIG-bench Machine Learning Classification

"Flow Size Difference" Can Make a Difference: Detecting Malicious TCP Network Flows Based on Benford's Law

no code implementations14 Sep 2016 Aamo Iorliam, Santosh Tirunagari, Anthony T. S. Ho, Shujun Li, Adrian Waller, Norman Poh

In this paper, we present the application of Benford's law to a new network flow metric "flow size difference", which have not been studied before by other researchers, to build an unsupervised flow-based intrusion detection system (IDS).

Network Intrusion Detection

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