WASET
	@article{(Open Science Index):https://publications.waset.org/pdf/10012579,
	  title     = {WormHex: A Volatile Memory Analysis Tool for Retrieval of Social Media Evidence},
	  author    = {Norah Almubairik and  Wadha Almattar and  Amani Alqarni},
	  country	= {},
	  institution	= {},
	  abstract     = {Social media applications are increasingly being used in our everyday communications. These applications utilise end-to-end encryption mechanisms which make them suitable tools for criminals to exchange messages. These messages are preserved in the volatile memory until the device is restarted. Therefore, volatile forensics has become an important branch of digital forensics. In this study, the WormHex tool was developed to inspect the memory dump files for Windows and Mac based workstations. The tool supports digital investigators by enabling them to extract valuable data written in Arabic and English through web-based WhatsApp and Twitter applications. The results confirm that social media applications write their data into the memory, regardless of the operating system running the application, with there being no major differences between Windows and Mac.},
	    journal   = {International Journal of Information and Communication Engineering},
	  volume    = {16},
	  number    = {6},
	  year      = {2022},
	  pages     = {233 - 238},
	  ee        = {https://publications.waset.org/pdf/10012579},
	  url   	= {https://publications.waset.org/vol/186},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 186, 2022},
	}