@article{(Open Science Index):https://publications.waset.org/pdf/10011217, title = {The Forensic Swing of Things: The Current Legal and Technical Challenges of IoT Forensics}, author = {Pantaleon Lutta and Mohamed Sedky and Mohamed Hassan}, country = {}, institution = {}, abstract = {The inability of organizations to put in place management control measures for Internet of Things (IoT) complexities persists to be a risk concern. Policy makers have been left to scamper in finding measures to combat these security and privacy concerns. IoT forensics is a cumbersome process as there is no standardization of the IoT products, no or limited historical data are stored on the devices. This paper highlights why IoT forensics is a unique adventure and brought out the legal challenges encountered in the investigation process. A quadrant model is presented to study the conflicting aspects in IoT forensics. The model analyses the effectiveness of forensic investigation process versus the admissibility of the evidence integrity; taking into account the user privacy and the providers’ compliance with the laws and regulations. Our analysis concludes that a semi-automated forensic process using machine learning, could eliminate the human factor from the profiling and surveillance processes, and hence resolves the issues of data protection (privacy and confidentiality). }, journal = {International Journal of Computer and Information Engineering}, volume = {14}, number = {5}, year = {2020}, pages = {159 - 165}, ee = {https://publications.waset.org/pdf/10011217}, url = {https://publications.waset.org/vol/161}, bibsource = {https://publications.waset.org/}, issn = {eISSN: 1307-6892}, publisher = {World Academy of Science, Engineering and Technology}, index = {Open Science Index 161, 2020}, }