«danger theory»
۳۴۴۶ نتیجهSTLR: a novel danger theory based structural TLR algorithm
Artificial Immune Systems (AIS) have long been used in the field of computer security and especially in Intrusion Detection systems. Intrusion detection based on AISs falls into two main categories. The first generation of AIS is inspired from adaptive immune reactions but, the s
A Danger Theory Inspired Approach to Web Mining
Within immunology, new theories are constantly being proposed that challenge current ways of thinking. These include new theories regarding how the immune system responds to pathogenic material. This conceptual paper takes one relatively new such theory: the Danger theory, and ex
Artificial Immune System Algorithm based on Danger Theory
An artificial immune system algorithm, based on the Danger Theory, is an algorithm which emulates, in a computational context, the defense mechanism of the human immune system when presented with a danger to its wellbeing. Over its evolution the human immune system has developed
Danger Theory: The Link between AIS and IDS?
We present ideas about creating a next generation Intrusion Detection System (IDS) based on the latest immunological theories. The central challenge with computer security is determining the difference between normal and potentially harmful activity. For half a century, developer
A Real-Time Dynamic Danger Theory Model for Anomaly Detection in File Systems
In the last few years, researchers have shown great interest in studying biologically inspired systems in the domain of computer science, sociology, economics and so on. Among these, computer science has made significant advances with biologically inspired theories fitted in ever
The danger theory in view of the injury hypothesis: 20 years later
The “danger theory” of Polly Matzinger posed in 1994 (Matzinger, 1994) principally holds that the immune system is far less concerned with “foreign” (microorganisms, cells, and molecules) than with signals that cause dangerous damage, and, furthermore, that antigen-presenting cel
An Architecture Based on Danger Theory in Immune Systems and Mobile Agents for Distributed Intrusion Detection
* We propose an artificial immune model for intrusion detection in distributed systems based on a relatively recent theory in immunology called Danger theory. Based on Danger theory, immune response in natural systems is a result of sensing corruption as well as sensing unknown s
Towards a Danger Theory Inspired Artificial Immune System for Web Mining
The natural immune system exhibits many properties that are of interest to the area of Web mining. Of particular interest is the dynamic nature of the immune system when compared with the dynamic nature of mining information from the Web. As part of a larger project to construct
A Danger-Theory-Based Immune Network Optimization Algorithm
Existing artificial immune optimization algorithms reflect a number of shortcomings, such as premature convergence and poor local search ability. This paper proposes a danger-theory-based immune network optimization algorithm, named dt-aiNet. The danger theory emphasizes that dan
The danger theory: 20 years later
The self-non-self theory has dominated immunology since the 1950s. In the 1990s, Matzinger and her colleagues suggested a new, competing theory, called the "danger theory." This theory has provoked mixed acclaim: enthusiasm and criticism. Here we assess the danger theory vis-à-vi