Anomaly detection in TCP/IP networks using immune systems paradigm

2007 ◽  
Vol 30 (4) ◽  
pp. 740-749 ◽  
Author(s):  
Franciszek Seredynski ◽  
Pascal Bouvry
Keyword(s):  
Anomaly Detection ◽  
Ip Networks ◽  
Immune Systems

Artificial Immune Systems for Anomaly Detection in Ambient Assisted Living Applications

2013 ◽  
Vol 5 (3) ◽  
pp. 1-15 ◽  
Author(s):  
Sebastian Bersch ◽  
Djamel Azzi ◽  
Rinat Khusainov ◽  
Ifeyinwa E. Achumba
Keyword(s):  
Anomaly Detection ◽  
Assisted Living ◽  
Artificial Immune Systems ◽  
Ambient Assisted Living ◽  
Artificial Immune ◽  
Immune Systems ◽  
Long Term Monitoring ◽  
Future Work ◽  
Term Monitoring

This paper makes a case for the use of Artificial Immune Systems (AIS) in the area of Ambient Assisted Living (AAL) for anomaly detection and long term monitoring. A brief literature review of some of the solutions developed for AAL and the use of AIS in other fields of research is presented. The authors advocate the use of AIS in AAL based on their unique features and their ability to address problems specific to the long term monitoring of people. An improved method for the optimisation of detector generation for AIS, which uses a novel intelligent seeding technique, is presented. The new seeding technique is compared with two other detector seeding methods. The simulation results are presented showing an improvement in the classification accuracy and warranting current and future work.

Optimal volume anomaly detection and isolation in large-scale IP networks using coarse-grained measurements

2010 ◽  
Vol 54 (11) ◽  
pp. 1750-1766 ◽  
Author(s):  
P. Casas ◽  
S. Vaton ◽  
L. Fillatre ◽  
I. Nikiforov
Keyword(s):  
Anomaly Detection ◽  
Large Scale ◽  
Ip Networks ◽  
Coarse Grained ◽  
Volume Anomaly
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