activity
20182023
most citedDeep Set Classifier for Financial Forensics: An application to detect money laundering

4 citations · 10 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CR2023★ 2 cited

A Review on the effectiveness of Dimensional Reduction with Computational Forensics: An Application on Malware Analysis

Aye Thaw Da Naing, Justin Soh Beng Guan, Yarzar Shwe Win +1

The Android operating system is pervasively adopted as the operating system platform of choice for smart devices. However, the strong adoption has also resulted in exponential grow…

cs.CR2022★ 4 cited

Deep Set Classifier for Financial Forensics: An application to detect money laundering

Jonathan Pan

Financial forensics has an important role in the field of finance to detect and investigate the occurrence of finance related crimes like money laundering. However, as with other f…

cs.LG2022★ 2 cited

AI based Log Analyser: A Practical Approach

Jonathan Pan

The analysis of logs is a vital activity undertaken for fault or cyber incident detection, investigation and technical forensics analysis for system and cyber resilience. The poten…

cs.CR2020★ 2 cited

Blackbox Trojanising of Deep Learning Models : Using non-intrusive network structure and binary alterations

Jonathan Pan

Recent advancements in Artificial Intelligence namely in Deep Learning has heightened its adoption in many applications. Some are playing important roles to the extent that we are…

cs.CR2020

IoT Network Behavioral Fingerprint Inference with Limited Network Trace for Cyber Investigation: A Meta Learning Approach

Jonathan Pan

The development and adoption of Internet of Things (IoT) devices will grow significantly in the coming years to enable Industry 4.0. Many forms of IoT devices will be developed and…

cs.CR2019

Physical Integrity Attack Detection of Surveillance Camera with Deep Learning Based Video Frame Interpolation

Jonathan Pan

Surveillance cameras, which is a form of Cyber Physical System, are deployed extensively to provide visual surveillance monitoring of activities of interest or anomalies. However,…