NDLI: A distributed attack simulation for quantitative security evaluation using SimEvents

Content Provider	IEEE Xplore Digital Library
Author	Khazan, G. Azgomi, M.A.
Copyright Year	2009
Description	Author affiliation: ICT Group, E-Learning Center, Iran University of Science and Technology, Tehran, Iran (Khazan, G.) \|\| Department of Computer Engineering, Iran University of Science and Technology, Tehran, Iran (Azgomi, M.A.)
Abstract	Any system during its lifecycle could be subject to internal or external accidental or malicious threats. Therefore attention to system security is very important nowadays. Security brings in concerns for availability, in addition to confidentiality and integrity. Many security assessment methodologies like ITSEC, CC and etc were used up to now, but most of them have some limitations for being used in design phase of systems. In this paper, simulation of a network system for quantitative security evaluation (QSE) based on discrete-event simulation (DES) by SimEvents is presented. First, the system in normal state is simulated then an attacker is modeled as a client by means of zombies attacks to the system. Subsequently the availability of system begins to decrease. Finally the system cannot respond to the requests. After this simulation, the availability of system as an important security measure in any moment of simulation time is measured. At the end, a case study of distributed denial of service (DDoS) simulation is presented and the availability measure of the system is evaluated.
Starting Page	382
Ending Page	385
File Size	412759
Page Count	4
File Format	PDF
ISBN	9781424438075
DOI	10.1109/AICCSA.2009.5069352
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-05-10
Publisher Place	Morocco
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Computational modeling Data security Time measurement Computer crime Information security Computer simulation Discrete event simulation Exponential distribution Random number generation
Content Type	Text
Resource Type	Article

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