Autonomie security and self-protection based on feature-recognition with virtual neurons

Yuan Shun Dai; Michael Hinchey; Mingrui Qi; Xukai Zou

doi:10.1109/DASC.2006.24

Autonomie security and self-protection based on feature-recognition with virtual neurons

Yuan Shun Dai, Michael Hinchey, Mingrui Qi, Xukai Zou

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The Internet and networks are not security-oriented by design so that myriad problems are compromising today's computer systems. This paper presented an autonomic security mechanism based on the virtual neurons and feature recognition. A prototype model of the virtual neuron is designed and the distributed virtual neurons are organized in a compound peer-topeer and hierarchical structure. Then, the autonomic security mechanism is implemented via features recognized by the distributed virtual neurons. The paper presented how the feature recognition and virtual neurons work to automatically detect various security problems that are currently hard to defend against, including Eavesdropping, Replay, Masquerading, Spoofing, and DoS. A simulation system was developed and different cases were studied.

Original language	English
Title of host publication	Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006
Pages	227-234
Number of pages	8
DOIs	https://doi.org/10.1109/DASC.2006.24
Publication status	Published - 2006
Externally published	Yes
Event	2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006 - Indianapolis, IN, United States Duration: 29 Sep 2006 → 1 Oct 2006

Publication series

Name	Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006

Conference

Conference	2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006
Country/Territory	United States
City	Indianapolis, IN
Period	29/09/06 → 1/10/06

Access to Document

10.1109/DASC.2006.24

Cite this

Dai, Y. S., Hinchey, M., Qi, M., & Zou, X. (2006). Autonomie security and self-protection based on feature-recognition with virtual neurons. In Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006 (pp. 227-234). Article 4030887 (Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006). https://doi.org/10.1109/DASC.2006.24

Dai, Yuan Shun ; Hinchey, Michael ; Qi, Mingrui et al. / Autonomie security and self-protection based on feature-recognition with virtual neurons. Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006. 2006. pp. 227-234 (Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006).

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title = "Autonomie security and self-protection based on feature-recognition with virtual neurons",

abstract = "The Internet and networks are not security-oriented by design so that myriad problems are compromising today's computer systems. This paper presented an autonomic security mechanism based on the virtual neurons and feature recognition. A prototype model of the virtual neuron is designed and the distributed virtual neurons are organized in a compound peer-topeer and hierarchical structure. Then, the autonomic security mechanism is implemented via features recognized by the distributed virtual neurons. The paper presented how the feature recognition and virtual neurons work to automatically detect various security problems that are currently hard to defend against, including Eavesdropping, Replay, Masquerading, Spoofing, and DoS. A simulation system was developed and different cases were studied.",

author = "Dai, {Yuan Shun} and Michael Hinchey and Mingrui Qi and Xukai Zou",

year = "2006",

doi = "10.1109/DASC.2006.24",

language = "English",

isbn = "0769525393",

series = "Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006",

pages = "227--234",

booktitle = "Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006",

note = "2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006 ; Conference date: 29-09-2006 Through 01-10-2006",

}

Dai, YS, Hinchey, M, Qi, M & Zou, X 2006, Autonomie security and self-protection based on feature-recognition with virtual neurons. in Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006., 4030887, Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006, pp. 227-234, 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006, Indianapolis, IN, United States, 29/09/06. https://doi.org/10.1109/DASC.2006.24

Autonomie security and self-protection based on feature-recognition with virtual neurons. / Dai, Yuan Shun; Hinchey, Michael; Qi, Mingrui et al.
Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006. 2006. p. 227-234 4030887 (Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Dai YS, Hinchey M, Qi M, Zou X. Autonomie security and self-protection based on feature-recognition with virtual neurons. In Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006. 2006. p. 227-234. 4030887. (Proceedings - 2nd IEEE International Symposium on Dependable, Autonomic and Secure Computing, DASC 2006). doi: 10.1109/DASC.2006.24

Autonomie security and self-protection based on feature-recognition with virtual neurons

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