90 citations · 195 across the 11 of their papers we have counts for
11 papers
SoftPUF: a Software-Based Blockchain Framework using PUF and Machine Learning
S M Mostaq Hossain, Sheikh Ghafoor, Kumar Yelamarthi +1
Physically Unclonable Function (PUF) offers a secure and lightweight alternative to traditional cryptography for authentication due to their unique device fingerprint. However, the…
Securing Automotive Architectures with Named Data Networking
Zachariah Threet, Christos Papadopoulos, William Lambert +5
As in-vehicle communication becomes more complex, the automotive community is exploring various architectural options such as centralized and zonal architectures for their numerous…
Explainable Artificial Intelligence Approaches: A Survey
Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor +1
The lack of explainability of a decision from an Artificial Intelligence (AI) based "black box" system/model, despite its superiority in many real-world applications, is a key stum…
Towards Quantification of Explainability in Explainable Artificial Intelligence Methods
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor
Artificial Intelligence (AI) has become an integral part of domains such as security, finance, healthcare, medicine, and criminal justice. Explaining the decisions of AI systems in…
Investigating bankruptcy prediction models in the presence of extreme class imbalance and multiple stages of economy
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor +3
In the area of credit risk analytics, current Bankruptcy Prediction Models (BPMs) struggle with (a) the availability of comprehensive and real-world data sets and (b) the presence…
Domain Knowledge Aided Explainable Artificial Intelligence for Intrusion Detection and Response
Sheikh Rabiul Islam, William Eberle, Sheikh K. Ghafoor +2
Artificial Intelligence (AI) has become an integral part of modern-day security solutions for its ability to learn very complex functions and handling "Big Data". However, the lack…
Extending the Message Passing Interface (MPI) with User-Level Schedules
Derek Schafer, Sheikh Ghafoor, Daniel Holmes +2
Composability is one of seven reasons for the long-standing and continuing success of MPI. Extending MPI by composing its operations with user-level operations provides useful inte…
Infusing domain knowledge in AI-based "black box" models for better explainability with application in bankruptcy prediction
Sheikh Rabiul Islam, William Eberle, Sid Bundy +1
Although "black box" models such as Artificial Neural Networks, Support Vector Machines, and Ensemble Approaches continue to show superior performance in many disciplines, their ad…
Credit Default Mining Using Combined Machine Learning and Heuristic Approach
Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor
Predicting potential credit default accounts in advance is challenging. Traditional statistical techniques typically cannot handle large amounts of data and the dynamic nature of f…
Mining Bad Credit Card Accounts from OLAP and OLTP
Sheikh Rabiul Islam, William Eberle, Sheikh Khaled Ghafoor
Credit card companies classify accounts as a good or bad based on historical data where a bad account may default on payments in the near future. If an account is classified as a b…
Mining Illegal Insider Trading of Stocks: A Proactive Approach
Sheikh Rabiul Islam, Sheikh Khaled Ghafoor, William Eberle
Illegal insider trading of stocks is based on releasing non-public information (e.g., new product launch, quarterly financial report, acquisition or merger plan) before the informa…