New approaches to the application of various methods of finding the base masses under the classification of hyperspectral space images
DOI:
https://doi.org/10.34121/1028-9763-2020-1-30-42Keywords:
vulnerability of computer systems, information security, Intel ME, Intel AMT, Supermicro microchip, vulnerability of Meltdown, Specter, ZombieLoad, базова маса, відстань Махаланобіса, теорія нечітких множин, центральна вибірка, класифікування зображеньAbstract
This paper provides a description of a certain computer equipment components which allow remotely gain unauthorized access to computers. These components are Intel Management Engine (Intel ME) and Intel AMT. Intel ME is an independent subsystem which is included in almost all Intel processor chips since 2008. The chip is always connected to a power source, so the subsystem continues to work even when the computer is turned off. Vulnerabilities were discovered in Intel AMT, thereafter many computers using Intel processors became available for remote and local intruders. The paper also describes Chinese microchips that have been implemented into Supermicro equipment. This equipment was supplied not only to US commercial organizations but to governmental as well. Supermicro Chinese microchips have the ability to edit the code stream that heads to the processor by inserting their own code, or else it can change the instructions order for the processor. The microchip can intercept communication security coding, as well as prevent the restoration of the security system as a whole. The paper also provides an overview for recent sensational vulnerabilities of Meltdown, Spectre and ZombieLoad in Intel and ARM processors that allows manipulating a computer in a varying degree. These vulnerabilities are similar to each other, they allow a malicious application to read any type of computer memory, including kernel. It became feasible thanks to a speculative code execution system. Both personal user data can be stolen, such as browser history, website content, passwords, or system data, and disk encryption keys. Security experts should take into account the points above, as in certain cases all these things could possibly turn into national scale problems, both financial and political.References
1. Beynon M.J., Curry B., Morgan P. The Dempster-Shafer theory of evidence: an alternative approach to multicriteria decision modeling. Omega: Int. Journal of Management Science. 2000. Vol. 28. N 1. P. 37–50.
2. Smets P., Henrion M., Shachter R.D., Kanal L.N., Lemmer J. F. Constructing the pignistic probability function in a context of uncertainty. Uncertainty in Artificial Intelligence. 1990. Vol. 5. P. 29–40.
3. Shafer G. A Mathematical Theory of Evidence. Princeton: Princeton University Press, 1976. 297 р.
4. Альперт С.І. Порівняння нового удосконаленого підходу комбінування суперечливих даних з правилом Ягера. Український журнал дистанційного зондування Землі. 2018. № 17. С. 14–17. URL: https://ujrs.org.ua/ujrs.
5. Dutta P., Boruah H., Ali T. Fuzzy arithmetic with and without using a-cut method: a comparative study. International Journal of Latest trends in Computing. 2011. Vol. 2, N 1. P. 99–108.
6. Jiang W., Duanmu D., Fan X., Deng Y. A new method to determine basic probability assignment under fuzzy environment. International Conference on Systems and Informatics (ICSAI 2012). P. 758–762.
7. Zhang C., Hu Y., Chan F.T.S., Sadiq R., Deng Y. A new method to determine basic probability assignment using core samples. Knowledge-based Systems. 2014. Vol. 69. P. 140–149.
Published
Issue
Section
License
Copyright (c) 2020 Mathematical Machines and Systems

This work is licensed under a Creative Commons Attribution 4.0 International License.
