期刊名称：International Journal of Advanced Computer Science and Applications(IJACSA)
印刷版ISSN：2158-107X
电子版ISSN：2156-5570
出版年度：2019
卷号：10
期号：10
页码：167-178
出版社：Science and Information Society (SAI)
摘要：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 highlevel
alerts that result from actual successful attacks.
