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DOI: 10.14569/IJACSA.2019.0101024
PDF

An Immunity-based Error Containment Algorithm for Database Intrusion Response Systems

Author 1: Nacim YANES
Author 2: Ayman M. MOSTAFA
Author 3: Nasser ALSHAMMARI
Author 4: Saad A. ALANAZI

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 10, 2019.

  • Abstract and Keywords
  • How to Cite this Article
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Abstract: The immune system has received a special attention as a potential source of inspiration for innovative approaches to solve database security issues and build artificial immune systems. Database security issues need to be correctly identified to ensure that suitable responses are taken. This paper proposes an immunity-based error containment algorithm for providing optimum response in detected intrusions. The objective of the proposed algorithm is to reduce the false positive alarms to the minimum since not all the incidents are malicious in nature. The proposed algorithm is based on apoptotic and necrotic signals which are parts of the immunity structure in human immune system. Apoptotic signals define low-level alerts that could result from legitimate users but could be also the prerequisites for an attack, while necrotic signals define high-level alerts that result from actual successful attacks.

Keywords: Database security; artificial immune system; error containment algorithm; database auditing; apoptotic signal; necrotic signal; secret sharing

Nacim YANES, Ayman M. MOSTAFA, Nasser ALSHAMMARI and Saad A. ALANAZI, “An Immunity-based Error Containment Algorithm for Database Intrusion Response Systems” International Journal of Advanced Computer Science and Applications(IJACSA), 10(10), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0101024

@article{YANES2019,
title = {An Immunity-based Error Containment Algorithm for Database Intrusion Response Systems},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0101024},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0101024},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {10},
author = {Nacim YANES and Ayman M. MOSTAFA and Nasser ALSHAMMARI and Saad A. ALANAZI}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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