Amani Abu Jabal

Purdue University West Lafayette, German Jordanian University

Papers

Total Citations

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About

Amani Abu Jabal is a leading researcher in the field of policy-based management for secure, large-scale computer systems. Her work focuses on the critical intersection of access control, policy analysis, and emerging technologies like the Internet of Things (IoT) and autonomous robotics. Her major contribution is the development of FLAP (Federated Learning for Attribute-based Policies), a novel framework that leverages federated learning to collaboratively and privately generate attribute-based access control policies. This approach addresses a primary security requirement for modern collaborative applications, enabling secure information sharing among autonomous devices without compromising sensitive data. Her seminal paper, "Methods and Tools for Policy Analysis" (2019), with 51 citations, provides foundational techniques for maintaining reliable policy systems in complex, large-scale networks. By tackling the challenges of policy reliability and privacy in distributed, autonomous environments, Abu Jabal’s work is paving the way for secure and efficient collaborations between robots, drones, and other smart devices, making her a key voice in the future of secure, decentralized systems.