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http://dx.doi.org/10.7840/kics.2013.38B.11.861

Analysis on Operation of Anti-Virus Systems with Real-Time Scan and Batch Scan  

Yang, Won Seok (한남대학교 경영학과)
Kim, Tae-Sung (충북대학교 경영정보학과)
Publication Information
The Journal of Korean Institute of Communications and Information Sciences / v.38B, no.11, 2013 , pp. 861-869 More about this Journal
Abstract
We consider an information system where viruses arrive according to a Poisson process with rate ${\lambda}$. The information system has two types of anti-virus operation policies including 'real-time scan' and 'batch scan.' In the real-time scan policy, a virus is assumed to be scanned immediately after its arrival. Consequently, the real-time scan policy assumes infinite number of anti-viruses. We assume that the time for scanning and curing a virus follows a general distribution. In the batch scan policy, a system manager operates an anti-virus every deterministic time interval and scan and cure all the viruses remaining in the system simultaneously. In this paper we suggest a probability model for the operation of anti-virus software. We derive a condition under which the operating policy is achieved. Some numerical examples with various cost structure are given to illustrate the results.
Keywords
anti-virus system; real-time scan; batch scan; economic analysis; probability model;
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1 Computer Security Institute, Computer Crime and Security Survey, Jun. 2011.
2 L. A. Gordon and M. P. Loeb, "The economics of information security investment," ACM Trans. Inform. Syst. Security, vol. 5, no. 4, pp. 438-457, Nov. 2002.   DOI
3 W. S. Yang, T. S. Kim, and H. M. Park, "Probabilistic modeling for evaluation of information security investment portfolios," J. Korean Operations Research Management Sci. Soc., vol. 34, no. 3, pp. 155-163, Sep. 2009.   과학기술학회마을
4 W. S. Yang, T. S. Kim, and H. M. Park, "Considering system throughput to evaluate information security investment portfolios," J. Korea Inst. Inform. Security Cryptology, vol. 20, no. 2, pp. 109-116, Apr. 2010.   과학기술학회마을
5 H. Cavusoglu, B. Mishra, and S. Raghunathan, "The value of intrusion detection systems in information technology security architecture," Inform. Syst. Research, vol. 16, no. 1, pp. 28-46, Mar. 2005.   DOI   ScienceOn
6 H. Cavusoglu, B. Mishra, and S. Raghunathan, "A model for evaluating IT security investments," Commun. ACM, vol. 47, no. 7, pp. 87-92, July 2004.
7 L. D. Bodin, L. A. Gordon, and M. P. Loeb, "Evaluating information security investments using the analytic hierarchy process," Commun. ACM, vol. 48, no. 2, pp. 79-83, Feb. 2005.
8 H. K. Kong, T. S. Kim, and J. Kim, "An analysis on effects of information security investments: a BSC perspective," J. Intell. Manufacturing, vol. 23, no. 4, pp. 941-953, Aug. 2012.   DOI
9 Korea Communication Commission (KCC) and Korea Internet & Security Agency (KISA), Information Security Survey-Businesses, Mar. 2012.
10 W. S. Yang, J. D. Kim, and K. C. Chae, "Analysis of M/G/1 stochastic clearing systems," Stochastic Anal. Applicat., vol. 20, no. 5, pp. 1083-1100, Oct. 2002.   DOI   ScienceOn
11 G. Jain and K. Sigman, "A Pollaczek-Khintchine formula for M/G/1 queues with disasters," J. Applied Probability, vol. 33, no. 4, pp. 1191-1200, Dec. 1996.   DOI   ScienceOn
12 I. Atencia and P. Moreno, "The discrete-time Geo/Geo/1 queue with negative customers and disasters," Comput. Operations Research, vol. 31, no. 9, pp. 1537-1548, Aug. 2004.   DOI   ScienceOn
13 A. Gomez-Corral, "On a finite-buffer bulk-service queue with disasters," Math. Methods Operations Research, vol. 61, no. 1, pp. 57-84, Mar. 2005.   DOI
14 F. Jolai, S. M. Asadzadeh, and M. R. Taghizadeh, "Performance estimation of an Email contact center by a finite source discrete time Geo/Geo/1 queue with disasters," Comput. Ind. Eng., vol. 55, no. 3, pp. 543-556, Oct. 2008.   DOI   ScienceOn
15 X. W. Yi, J. D. Kim, D. W. Choi, and K. C. Chae, "The Geo/G/1 queue with disasters and multiple working vacations," Stochastic Models, vol. 23, no. 4, pp. 21-31, Nov. 2007.
16 H. M. Park, W. S. Yang, and K .C. Chae, "Analysis of the GI/Geo/1 queue with disasters," Stochastic Anal. Applicat., vol. 28, no. 1, pp. 44-53, Jan. 2010.
17 D. H. Lee, W. S. Yang, and H. M. Park, "Geo/G/1 queues with disasters and general repair times," Applied Math. Modelling, vol. 35, no. 4, pp. 1561-1570, Apr. 2011.   DOI   ScienceOn
18 A. Chen and E. Renshaw, "The M/M/1 queue with mass exodus and mass arrivals when empty," J. Applied Probability, vol. 34, no. 1, pp. 192-207, Mar. 1997.   DOI   ScienceOn
19 E. G. Kyriakidis and A. Abakuks, "Optimal pest control through catastrophes," J. Applied Probability, vol. 27, no. 4, pp. 873-879, Dec. 1989.
20 D. Towsley and S. K. Tripathi, "A single server priority queue with server failures and queue flushing," Operations Research Lett., vol. 10, no. 6, pp. 353-362, Aug. 1991.   DOI   ScienceOn
21 X. Chao, "A queueing network model with catastrophes and product form solution," Operations Research Lett., vol. 18, no. 2, pp. 75-79, Sep. 1995.   DOI   ScienceOn
22 J. R. Artalejo and A. Gomez-Corral, "Analysis of a stochastic clearing system with repeated attempts," Stochastic Models, vol. 14, no. 3, pp. 623-645, Jun. 1998.   DOI   ScienceOn
23 D. Gross and G. M. Harris, Fundamentals of Queueing Theory, John Wiley & Sons, 1974.