• Worm damage minimization in en...

Result: Worm damage minimization in enterprise networks

Title:
Worm damage minimization in enterprise networks
Authors:
SANGUANPONG, Surasak, KANLAYASIRI, Urupoj
Source:
Information security in the knowledge economyInternational journal of human-computer studies. 65(1):3-16
Publisher Information:
London: Elsevier, 2007.
Publication Year:
2007
Physical Description:
print, 34 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Psychology, psychopathology, psychiatry, Psychologie, psychopathologie, psychiatrie, Sciences exactes et technologie, Exact sciences and technology, Sciences appliquees, Applied sciences, Informatique; automatique theorique; systemes, Computer science; control theory; systems, Logiciel, Software, Systèmes informatiques et systèmes répartis. Interface utilisateur, Computer systems and distributed systems. User interface, Organisation des mémoires. Traitement des données, Memory organisation. Data processing, Gestion des mémoires et des fichiers (y compris la protection et la sécurité des fichiers), Memory and file management (including protection and security), Attaque informatique, Computer attack, Ataque informática, Commande floue, Fuzzy control, Control difusa, Confiance, Confidence, Confianza, Décision floue, Fuzzy decision, Decisión borrosa, Endommagement, Damaging, Deterioración, Entreprise numérique, Digital enterprise, Empresa Numérica, Homogénéité, Homogeneity, Homogeneidad, Infection, Infección, Interface utilisateur, User interface, Interfase usuario, Minimisation, Minimization, Minimización, Optimisation, Optimization, Optimización, Psychologie sociale, Social psychology, Psicología social, Système détection intrusion, Intrusion detection systems, Système réparti, Distributed system, Sistema repartido, Sécurité informatique, Computer security, Seguridad informatica, Network security, Worm infection, Worm
Document Type:
Conference Conference Paper
File Description:
text
Language:
English
Author Affiliations:
Department of Computer Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand
ISSN:
1071-5819
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18357097
Rights:
Copyright 2007 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Computer science; theoretical automation; systems
Accession Number:
edscal.18357097
Database:
PASCAL Archive

Further Information

Attackers utilize many forms of intrusion via computer networks; currently, worms are an important vector with the potential for widespread damage. None of the strategies is effective and rapid enough to mitigate worm propagation. Therefore, it is extremely important for organizations to better understand worm behaviour and adopt a strategy to minimize the damage due to worm attacks. This paper describes an approach to minimize the damage due to worm infection in enterprise networks. The approach includes: (1) analyzing the effect of parameters influencing worm infection: openness, homogeneity, and trust, (2) predicting the number of infected nodes by fuzzy decision, and (3) optimizing the trust parameter to minimize the damage by fuzzy control. Experiments using real worm attacks show that the selected parameters are strongly correlated with actual infection rates, the damage prediction produces accurate estimates, and the optimization of the selected parameter can lessen the damage from worm infection.