Visible to the public Penetration Testing for Internet of Things and Its Automation

TitlePenetration Testing for Internet of Things and Its Automation
Publication TypeConference Paper
Year of Publication2018
AuthorsChu, G., Lisitsa, A.
Conference Name2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
ISBN Number978-1-5386-6614-2
KeywordsAutomation, BDI model, belief-desire-intention, belief-desire-intention (BDI) model, composability, GPS, Hardware, Human Behavior, Internet, Internet of Things, IoT, IoT security, IoT Security 2018, machine to machine technologies, Metrics, Penetration Testing, penetration testing approach, pubcrawl, radio frequency identification, radiofrequency identification, Resiliency, RFID, security of data, security problems, Systems Security, traditional internet

The Internet of Things (IoT) is an emerging technology, an extension of the traditional Internet which make everything is connected each other based on Radio Frequency Identification (RFID), Sensor, GPS or Machine to Machine technologies, etc. The security issues surrounding IoT have been of detrimental impact to its development and has consequently attracted research interest. However, there are very few approaches which assess the security of IoT from the perspective of an attacker. Penetration testing is widely used to evaluate traditional internet or systems security to date and it normally spends numerous cost and time. In this paper, we analyze the security problems of IoT and propose a penetration testing approach and its automation based on belief-desire-intention (BDI) model to evaluate the security of the IoT.

Citation Keychu_penetration_2018