References

Ako, M.A., 2017. Advanced Encryption Standard (AES) algorithm to encrypt and decrypt data. Cryptography Network Secur., 1: 1-12.
Direct Link  |  

Anonymous, 2016. U.are.U® 4500 reader optical USB fingerprint reader. DigitalPersona, Inc., Palm Beach Gardens, Florida, USA. https://www.crossmatch.com/wp-content/uploads/2017/05/20160122-DS-En-U.are_.U-4500-Reader.pdf

Anonymous, 2017. The ultimate guide to Raspbian and other raspberry Pi software. Eltechs, Inc., Moscow, Russia. https://eltechs.com/raspbian-and-other-raspberry-pi-software/

Anonymous, 2018. Raspberry Pi 3 model B. Raspberry Pi Foundation, ‎Cambridge‎, UK. https://www.raspberrypi.org/products/raspberry-pi-3-model-b/

Boileau, A., 2006. Hit by a bus: Physical access attacks with firewire security. Syst. Rev., 42: 93-98.

Henson, M.J., 2014. Attack mitigation through memory encryption. Ph.D Thesis, Dartmouth College, Hanover, New Hampshire.

Liao, T.L., P.Y. Wan, P.C. Chien, Y.C. Liao and L.K. Wang et al., 2018. Design of high-security USB flash drives based on chaos authentication. Electron., Vol. 7, 10.3390/electronics7060082

Markuze, A., A. Morrison and D. Tsafrir, 2016. True IOMMU protection from DMA attacks: When copy is faster than zero copy. ACM. SIGARCH. Comput. Archit. News, 44: 249-262.
CrossRef  |  Direct Link  |  

Myung, K., 2015. USB wall: A novel security mechanism to protect against maliciously reprogrammed USB devices. MS Thesis, University of Kansas, Lawrence, Kansas.

Nissim, N., R. Yahalom and Y. Elovici, 2017. USB-based attacks. Comput. Secur., 70: 675-688.
CrossRef  |  Direct Link  |  

Patric, S., 2014. Detecting Peripheral-Based Attacks on the Host Memory. Springer, Berlin, Germany, ISBN:978-3-319-13514-4, Pages: 107.

Stewin, P. and I. Bystrov, 2012. Understanding DMA malware. Proceedings of the International Conference on Detection of Intrusions and Malware and Vulnerability Assessment, July 26-27, 2012, Springer, Berlin, Heidelberg, Germany, ISBN:978-3-642-37299-5, pp: 21-41.

Vujovic, V. and M. Maksimovic, 2015. Raspberry Pi as a sensor web node for home automation. Comput. Electr. Eng., 44: 153-171.
CrossRef  |  Direct Link  |