Application-specific digital forensics investigative model in internet of things (IoT)

Tanveer Zia, Peng Liu, Weili Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

37 Scopus citations


Besides its enormous benefits to the industry and community the Internet of Things (IoT) has introduced unique security challenges to its enablers and adopters. As the trend in cybersecurity threats continue to grow, it is likely to influence IoT deployments. Therefore it is eminent that besides strengthening the security of IoT systems we develop effective digital forensics techniques that when breaches occur we can track the sources of attacks and bring perpetrators to the due process with reliable digital evidence. The biggest challenge in this regard is the heterogeneous nature of devices in IoT systems and lack of unified standards. In this paper we investigate digital forensics from IoT perspectives. We argue that besides traditional digital forensics practices it is important to have application-specific forensics in place to ensure collection of evidence in context of specific IoT applications. We consider top three IoT applications and introduce a model which deals with not just traditional forensics but is applicable in digital as well as application-specific forensics process. We believe that the proposed model will enable collection, examination, analysis and reporting of forensically sound evidence in an IoT application-specific digital forensics investigation.

Original languageEnglish (US)
Title of host publicationARES 2017 - Proceedings of the 12th International Conference on Availability, Reliability and Security
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450352574
StatePublished - Aug 29 2017
Event12th International Conference on Availability, Reliability and Security, ARES 2017 - Reggio Calabria, Italy
Duration: Aug 29 2017Sep 1 2017

Publication series

NameACM International Conference Proceeding Series
VolumePart F130521


Other12th International Conference on Availability, Reliability and Security, ARES 2017
CityReggio Calabria

All Science Journal Classification (ASJC) codes

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications


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