Monitoring applications: An immune inspired algorithm for software-fault detection

Ligeiro, Rui

doi:10.1016/j.asoc.2014.08.021

Cited by 3 publications

(1 citation statement)

References 16 publications

(18 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…when updating the operating system, etc.). Therefore, in order to avoid this in a changing environment, there is a need for selfadaptive methods to detect errors and monitor performance (Ligeiro 2014). There are similarities between the detection of program errors and the problem of detecting pathogenic microorganisms found in natural immune systems.…”

Section: Related Workmentioning

confidence: 99%

Developing an algorithm for the application of Bayesian method to software using artificial immune systems

Mahmudova

2021

Soft Comput

View full text Add to dashboard Cite

This paper develops a new algorithm by applying the Bayesian method to software using artificial immune systems. An artificial immune system is an adaptive computing system that uses models, principles, mechanisms, And functions used to solve problems in theoretical immunology. Its application to various fields of science is studied. The role that artificial immune systems play in software is invaluable. Methods for detecting malware are explored. Some works in the field of artificial immune system are analyzed and issues to be addressed are identified. The Bayesian method accurately calculates the probability of occurrence of any event under certain conditions. Therefore, the Bayesian method is applied to software using artificial immune systems. By applying this method, fast software performance can be achieved. For this, a new algorithm is developed and experiments are conducted. The developed algorithm is one of the new ones. The results of the experiments provide good performance.

show abstract

Section: Related Workmentioning

confidence: 99%

Developing an algorithm for the application of Bayesian method to software using artificial immune systems

Mahmudova

2021

Soft Comput

View full text Add to dashboard Cite

show abstract

Adaptive artificial immune networks for mitigating DoS flooding attacks

Vidal

Orozco

Villalba

2018

Swarm and Evolutionary Computation

View full text Add to dashboard Cite

Developing an Algorithm for the Application of Bayesian Method to Software Using Artificial Immune Systems

Mahmudova

2021

Preprint

View full text Add to dashboard Cite

This study provides information on artificial immune systems. The artificial immune system is an adaptive computational system that uses models, principles, mechanisms and functions to describe and solve the problems in theoretical immunology. Its application in various fields of science is explored. The theory of natural immune systems and the key features and algorithms of artificial immune system are analyzed. The advantages and disadvantages of protection systems based on artificial immune systems are shown. The methods for malicious software detection are studied. Some works in the field of artificial immune systems are analyzed, and the problems to be solved are identified. A new algorithm is developed for the application of Bayesian method in software using artificial immune systems, and experiments are implemented. The results of the experiment are estimated to be good. The advantages and disadvantages of AIS were shown. To eliminate the disadvantages, perfect AISs should be developed to enable the software more efficient and effective.

show abstract

Monitoring applications: An immune inspired algorithm for software-fault detection

Cited by 3 publications

References 16 publications

Developing an algorithm for the application of Bayesian method to software using artificial immune systems

Developing an algorithm for the application of Bayesian method to software using artificial immune systems

Adaptive artificial immune networks for mitigating DoS flooding attacks

Developing an Algorithm for the Application of Bayesian Method to Software Using Artificial Immune Systems

Contact Info

Product

Resources

About