Towards the Internet of Safe Postal+Things

Waqas Ahsen, Massimo Ancona, Viviana Mascardi, Nicoletta Noceti, Francesca Odone, Antonino Scribellito


SAFEPOST is an FP7 European project which was active from April 2012 to July 2016 with the goal of a “reuse and development of Security Knowledge assets for International Postal supply chains”, as its full title explains. SAFEPOST addressed threats to postal security by designing and experimenting a sensor network detection system including gas, radiation, Raman spectroscopy and image-based sensors. In 2015, while SAFEPOST was running, the US Postal Service and IBM suggested the idea of applying sensors to the postal infrastructure components to bring the acquired data to the next supply chain level and optimize efficiency and costs, leading to an Internet of Postal Things.

In this paper we provide a perspective view on how the SAFEPOST and Internet of Postal Things approaches can be merged and generalized to supply chains involving not only postal items, but also logistic infrastructures and business processes, in order to design an Internet of Safe Postal+Things.


Internet of Things; Internet of Postal Things; Safety; Supply Chain

Full Text:



Cusumano, Michael A. 2015. Can Services and Platform Thinking Help the U.S. Postal Service? How the U.S. Postal Service might improve the efficiency of its delivery platform.CACM April 2012, Vol. 55, No. 4, pp. 21-23

Guerrini, Federico. 2015. How Big Data And The Internet Of Things Will Change The Postal Service,

Accenture Consulting. 2015. Achieving High Performance in the Post and Parcel Industry, Accenture Research and Insights.

Atzori, Luigi, Antonio Iera, and Giacomo Morabito. 2010. The internet of things: A survey.Computer networks54, no. 15: 2787-2805.

Mell, Peter, and Tim Grance. 2011. The NIST definition of cloud computing.

Walker, Saint John. 2014. Big Data: A Revolution That Will Transform How We Live, Work, and Think.International Journal of Advertising, Vol. 33, No. 1, pp. 181-183.

USPS. 2015. The Internet of Postal Things. ReportNumber RARC-WP-15-013.

Marsh, Bruce, and Paola Piscioneri. 2015. The Internet of Postal Things,Collaboration Technologies and Systems Conference, pp. 3-4, IEEE

Noceti, Nicoletta, Zini, Luca and Odone, Francesca. A multi-camera system for damages and tampering detection in a postal security framework. EURASIP Journal on Image and Video Processing, vol. 11, 2018.

Männistö, Toni. 2015. Mitigating Crime Risks in The International Logistics Network – the Case of Swiss Post.Ph. D. Thesis, École Polytechnique Fédérale De Lausanne,

Ho, William, Tian Zheng, Hakan Yildiz, and Srinivas Talluri. 2015. Supply Chain Risk Management: a Literature Review. International Journal of Production Research Vol. 53, Iss. 16,

Sarmiento, Roberto, Mike Byrne, Luis Rene Contreras, and Nick Rich. 2007.Delivery reliability, manufacturing capabilities and new models of manufacturing efficiency. Vol. 18 Issue: 4, pp.367-386,

Sterling, Bruce. 2005. Shaping Things. The MIT Press.

Vickery, Shawnee K., Cornelia Droge, and Robert E. Markland. 1997. Dimensions of manufacturing strength in the furniture industry.Journal of Operations Management,Vol. 15, pp. 317‐30.

Mishra, Shikha. 2017. Design and Evaluation of Wireless and IoT based Healthcare System. International Journal of Current Engineering and Technology, Vol.7, No. 2,

Granjal, Jorge, Edmondo Monteiro, and Jorge SáSilva, Security for the Internet of Things: A survey of Existing Protocols and Open Research Issues, IEEE Communication Surveys & Tutorials, Vol. 17, No. 3, 3th quarter 2015.

Sabaliauskaite, Giedre and Aditya P. Mathur. 2015. Aligning Cyber-Physical System Safety and Security. In Proc. of Complex Systems Design & Management Asia: Designing Smart Cities. Springer International Publishing, pp. 41--53.

Kallman, Marcelo and Daniel Thalmann. 1998. Modeling Objects for Interaction Tasks. Springer: 73–86

Kortuem, Gerd, Fahim Kawsar, Vasughi Sundramoorthy, and Daniel Fitton. 2010. Smart Objects as Building Blocks for the Internet of Things. IEEE Internet Computing 14, 1: pp. 44-51.

Thuraisingham, Bhavani , Latifur Khan, Chris Clifton, John Maurer, and Marion Ceruti. 2005. Dependable Real-Time Data Mining. In Proceedings of the Eighth IEEE International Symposium on Object-Oriented Real-Time Distributed Computing(ISORC '05). IEEE Computer Society, 158-165.

Bifet, Albert, Geoff Holmes, Richard Kirkby, and Bernhard Pfahringer. 2010.Moa: Massive online analysis. Journal of Machine Learning Research 11, no. May: pp. 1601-1604.

De Francisci Morales, Gianmarco. 2013. SAMOA: a platform for mining big data streams. In Proceedings of the 22nd International Conference on World Wide Web(WWW '13 Companion).ACM, New York, NY, USA, 777-778.

Jankov,Dimitrije, Sourav Sikdar, Rohan Mukherjee, Kia Teymourian, and Chris Jermaine. 2017. Real-time High Performance Anomaly Detection over Data Streams: Grand Challenge. In Proceedings of the 11th ACM International Conference on Distributed and Event-based Systems(DEBS '17). ACM, pp 292-297.

Vanni, Michelle, Sue E. Kase, Shanika Karunasekara, Lucia Falzon, and Aaron Harwood. 2017. RAPID: real-time analytics platform for interactive data-mining in a decision support scenario. InSPIE Defense+ Security, pp. 102070L-102070L. International Society for Optics and Photonics, 2017.

Kwon, Kyunglag, Daehyun Kang, Yeochang Yoon, Jong-Soo Sohn, and In-Jeong Chung. 2014. A real time process management system using RFID data mining. Computers in Industry 65, no. 4: pp. 721-732.

Bifet, Albert. Mining big data in real time. 2013. Informatica 37, no. 1.

Dasgupta, Koustuv, Nilanjan Banerjee, Dipanjan Chakraborty, Sumit Mittal, Seema Nagar, Anupam Joshi, and Angshu Rai. Real-time data mining.U.S. Patent 9,558,267, issued January 31, 2017.

Chen, Feng , Pan Deng, Jiafu Wan, Daqiang Zhang, Athanasios V. Vasilakos, and Xiaohui Rong. 2015. Data mining for the Internet of Things: literature review and challenges. Int. J. Distrib. Sen. Netw.2015, Article 12 (January 2015).

Macaulay, James, Lauren Buckalew, Gina Chung. 2015. Internet of Things in Logistics -- A collaborative report by DHL and Cisco on implications and use cases for the logistics industry.

Karakostas, Bill. 2017. Towards Autonomous IoT Logistics Objects. In The Internet of Things in the Modern Business Environment, pp. 210-222. IGI Global.

Su, Jian-Ping, Cheng-An Wang, Yu-Ching Mo, Yu-Xiang Zeng, Wan-Jung Chang, Liang-Bi Chen, Da-Huei Lee, and Cheng-Hsin Chuang. 2017. i-Logistics: An intelligent Logistics system based on Internet of things. In Applied System Innovation (ICASI), 2017 International Conference on, pp. 331-334. IEEE, 2017.

Meola, Andrew. 2016. How IoT logistics will revolutionize supply chain management.

Kim, Nam-Ho. Design and implementation of Hadoop platform for processing big data of logistics which is based on IoT International Journal of Services Technology and Management 23.1-2 (2017): 131-153.

Cao, Qing, Dara G. Schniederjans, and Marc Schniederjans. 2017.Establishing the use of cloud computing in supply chain management.Operations Management Research 10, no. 1-2: pp. 47-63.

Subramanian, Nachiappan, and Muhammad D. Abdulrahman. 2017. Logistics and cloud computing service providers’ cooperation: a resilience perspective. Production Planning and Control.

Jaeger, Peter, and Ralf Lindenlaub. 2016. Cloud logistics. U.S. Patent 9,378,255, issued June 28, 2016.

A. Botta, W. de Donato, V. Persico and A. Pescapé, "On the Integration of Cloud Computing and Internet of Things," 2014 International Conference on Future Internet of Things and Cloud, Barcelona, 2014, pp. 23-30.

Heuveldop, Niklas. 2017. Ericsson Mobility Report.

DeMers, Jayson. 2017. 7 Ways The Internet Of Things Will Change Businesses In 2017.

Palmquist, Diane and Tyson Leal. 2016.The IoT Supply Chain: 3 Things You Should Know.



  • There are currently no refbacks.

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

Creative Commons License

This site is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.