Cell Based Intrusion Prevention System.
Saved in:
| Title: | Cell Based Intrusion Prevention System. |
|---|---|
| Authors: | Hassan, Mohamed1 Mohamed.Hassan@staffs.ac.uk, Vidalis, Stilianos1 stilianos.vidalis@staffs.ac.uk, Mylonas, Alexios1 alexios.mylonas@staffs.ac.uk |
| Source: | Proceedings of the European Conference on e-Learning (ECEL). 2015, p79-85. 7p. |
| Subject Terms: | *Computer network security, Computer network management, Cyberterrorism, Signalling protocols (Telecommunication), Defense in depth (Computer security) |
| Abstract: | In today's socially-driven knowledge-based computing era, digital devices have become household appliances. Ubiquitous computing and social networks are life style technologies which coupled with the political drive for e-inclusion strategies have exponentially increased the rate of new 0-day exploits. We hypothesise that building an adaptive, polymorphous, distributed system that can learn from its environment and dynamically change according to external stimuli, which can provide a cost-effective proactive solution to the problem. In this research we developed a novel and simple approach to defend common network threats and anomaly attacks. The design comprises of polymorphous elementary blocks called digital cells, these simple blocks are extremely rich, much like living cells. Cells are the fundamental structural unit of life, all living organisms are made of one or more cells. The cell characteristics including, the ability of self-division to a specific limit (e.g. human cells), capability of independent existence, and the ability to communicate using signalling are going to be the fundamental elements for this research. [ABSTRACT FROM AUTHOR] |
| Copyright of Proceedings of the European Conference on e-Learning (ECEL) is the property of Academic Conferences & Publishing International Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Education Research Complete |
Be the first to leave a comment!
