@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},
	}