iCOP: IoT-Enabled Policing Processes

التفاصيل البيبلوغرافية
العنوان: iCOP: IoT-Enabled Policing Processes
المؤلفون: Boualem Benatallah, Farhad Amouzgar, Jian Yang, Samira Ghodratnama, Francesco Schiliro, Amin Beheshti, Quan Z. Sheng, Hamid Reza Motahari-Nezhad, Fabio Casati
المصدر: Lecture Notes in Computer Science ISBN: 9783030176419
ICSOC Workshops
بيانات النشر: Springer International Publishing, 2019.
سنة النشر: 2019
مصطلحات موضوعية: business.industry, Process (engineering), Computer science, Business process, 05 social sciences, Law enforcement, 020207 software engineering, 02 engineering and technology, Criminal investigation, Data science, Drone, 0202 electrical engineering, electronic engineering, information engineering, Key (cryptography), 0509 other social sciences, 050904 information & library sciences, Internet of Things, business, Set (psychology)
الوصف: Analyzing data-driven and knowledge intensive business processes is a key endeavor for today’s enterprises. Recently, the Internet of Things (IoT) has been widely adopted for the implementation and integration of data-driven business processes within and across enterprises. For example, in law enforcement agencies, various IoT devices such as CCTVs, police cars and drones are augmented with Internet-enabled computing devices to sense the real world. This in turn, has the potential to change the nature of data-driven and knowledge intensive processes, such as criminal investigation, in policing. In this paper, we present a framework and a set of techniques to assist knowledge workers (e.g., a criminal investigator) in knowledge intensive processes (e.g., criminal investigation) to benefit from IoT-enabled processes, collect large amounts of evidences and dig for the facts in an easy way. We focus on a motivating scenario in policing, where a criminal investigator will be augmented by smart devices to collect data and to identify devices around the investigation location and communicate with them to understand and analyze evidences. We present iCOP, IoT-enabled COP assistant system, to enable IoT in policing and to accelerate the investigation process.
ردمك: 978-3-030-17641-9
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::25777a672c15c3738b3134e06363ab4b
https://doi.org/10.1007/978-3-030-17642-6_42
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........25777a672c15c3738b3134e06363ab4b
قاعدة البيانات: OpenAIRE