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Securing smart cities using blockchain technology
Biswas, Kamanashis Muthukkumarasamy, Vallipuram
Biswas, Kamanashis
Muthukkumarasamy, Vallipuram
Abstract
The safety of citizens is an integral part of any smart city project. Police patrol provides an effective way to detect suspects and possible crimes. However, policing is a limited resource just like any other service that a Smart City provides. In order to efficiently consume this resource, the city has several aspects that can be controlled to make efficient use of Police patrolling: where (area), what (number), when (hour). In this paper, we utilize the LA County Sheriff's open crime dataset to study the police patrol planning problem. We propose a novel approach to build a network of clusters to efficiently assign patrols based on informational entropy. This minimizes Police time-to-arrival and lowers the overall numbers of police on patrol. Our algorithm relies upon the categories of crimes, and the locations of crimes. Since we use real-time traffic analysis to join crime clusters, our solution is extensible enough to be applied to any metropolitan area.
Keywords
Law enforcement, Smart cities, Planning, Safety, Entropy, Conferences, city safety, police patrol, smart planning, resource optimization
Date
2016
Type
Conference item
Journal
IEEE 14th International Conference on Smart City
Book
Volume
Issue
Page Range
1392-1393
Article Number
ACU Department
Peter Faber Business School
Faculty of Law and Business
Faculty of Law and Business
Collections
Relation URI
Source URL
Event URL
Open Access Status
License
File Access
Controlled