期刊名称：Lecture Notes in Engineering and Computer Science
印刷版ISSN：2078-0958
电子版ISSN：2078-0966
出版年度：2018
卷号：2231&2232
页码：123-125
出版社：Newswood and International Association of Engineers
摘要：Developing technologies like the Internet of Things
(IoT) and the advent of Big Data Analytics have posed newer
threats to security and consequently increased the security threat
significantly and necessitated a more sophisticated approach to
deal with the multitude of devices and systems which connect and
communicate online. Thus, the earlier goal of building a robust
security solution for a system or application is no longer a valid
solution. Instead, the systems these days demand are adaptive
solutions which will automatically detect and configure itself for
the changing situations. The solution to this challenge needs the
applications of soft computing technologies like learning systems
and Artificial Intelligence to learn, predict, prevent and defend
any unforeseen security threats. This is the goal of the adaptive
security mechanism and this paper proposes a model to
dynamically change for the security solution for the scenario and
the application demand.
