{"type":"ScholarlyArticle","title":"Optimal Interdiction of Illegal Network Flow","authors":[{"name":"Qingyu Guo","slug":"qingyu-guo","given":"Qingyu","family":"Guo","affiliation":""},{"name":"Bo An","slug":"bo-an","given":"Bo","family":"An","affiliation":""},{"name":"Yair Zick","slug":"yair-zick","given":"Yair","family":"Zick","affiliation":""},{"name":"Chunyan Miao","slug":"chunyan-miao","given":"Chunyan","family":"Miao","affiliation":""}],"abstract":"Large scale smuggling of illegal goods is a long-standing problem, with $1.4b and thousands of agents assigned to protect the borders from such activity in the US-Mexico border alone. Illegal smuggling activities are usually blocked via inspection stations or ad-hoc checkpoints/roadblocks. Security resources are insufficient to man all stations at all times; furthermore, smugglers regularly conduct surveillance activities.This paper makes several contributions toward the challenging task of optimally interdicting an illegal network flow: i) A new Stackelberg game model for network flow interdiction; ii) A novel Column and Constraint Generation approach for computing the optimal defender strategy; iii) Complexity analysis of the column generation subproblem; iv) Compact convex nonlinear programs for solving the subproblems; v) Novel greedy and heuristic approaches for subproblems with good approximation guarantee. Experimental evaluation shows that our approach can obtain a robust enough solution outperforming the existing methods and heuristic baselines significantly and scale up to realistic-sized problems.","doi":null,"url":"https://ijcai.org/proceedings/2016/357","pdf":"https://ijcai.org/proceedings/2016/0357.pdf","markdown":"https://ijcai.org/proceedings/2016/357.md","bibtex":"https://ijcai.org/proceedings/2016/bibtex/357","volume":{"slug":"2016","title":"Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence","short_title":"IJCAI 2016","url":"https://ijcai.org/proceedings/2016/","year":2016,"location":"New York, NY, USA","dates":"9–15 July 2016","editors":"Subbarao Kambhampati","isbn":"978-1-57735-770-4; 978-1-57735-771-1","publisher":"AAAI Press / International Joint Conferences on Artificial Intelligence","doi_prefix":""},"section":null,"track":"","number":357,"pages":{"first":2507,"last":2512},"keywords":[],"videos":[],"references":[],"license_note":"Copyright International Joint Conferences on Artificial Intelligence."}