Work

Risk-based Customs' Intrusive Inspection Decision Making: Algorithm & Preliminary Case study

Year: 2024

Type: conference-paper

Abstract: This work is carried on within the framework of the EU Horizon project “BAG-INTEL”. The BAG-INTEL project final target is to develop a Risk-based AI tool to support customs intrusive inspection decision making relative to luggage control in airports. The risk assessment component is the only component of the BAG-INTEL Tool that is presented in the paper. The risk assessment component is one of many other components to be developped in BAG-INTEL Tool. It is powered by an algorithm mixes probabilistic statistics (deductive approach) and Analytic Hierarchic Process (AHP) classification theory (inductive approach). Subsequently, the risk assessment algorithm does not exploit any AI methodology or facility. The exploited data are exclusively numerical figures. Hence, the risk assessment algorithm does neither retrieve nor process any personal or biometric data by its concept.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.14926242

Author: EID, Mohamed

Language: English

Topic: Border Security and International Relations

Subfield: Political Science and International Relations

Field: Social Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: European Commission

Award: Intelligent system for improved efficiency and effectiveness Intelligent system for improved efficiency and effectiveness of the customs control of passenger baggage from international flight arrivals