DIFFERENTIAL EFFECTS OF PRIOR EXPERIENCE ON THE MALWARE RESOLUTION PROCESS
- Authors
- Kim, Seung Hyun; Kim, Byung Cho
- Issue Date
- 9월-2014
- Publisher
- SOC INFORM MANAGE-MIS RES CENT
- Keywords
- Information security; economics of information systems; learning curve; antivirus software; malware; targeted attack; information sharing; catastrophe; knowledge retention
- Citation
- MIS QUARTERLY, v.38, no.3, pp.655 - 678
- Indexed
- SCIE
SSCI
SCOPUS
- Journal Title
- MIS QUARTERLY
- Volume
- 38
- Number
- 3
- Start Page
- 655
- End Page
- 678
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/97621
- DOI
- 10.25300/MISQ/2014/38.3.02
- ISSN
- 0276-7783
- Abstract
- Despite growing interest in the economic and policy aspects of information security, little academic research has used field data to examine the development process of a security countermeasure provider. In this paper, we empirically examine the learning process a security software developer undergoes in resolving a malware problem. Using the data collected from a leading antivirus software company in Asia, we study the differential effects of experience on the malware resolution process. Our findings reveal that general knowledge from cross-family experience has greater impact than specific knowledge from within-family experience on performance in the malware resolution process. We also examine the factors that drive the differential effects of prior experience. Interestingly, our data show that cross-family experience is more effective than within-family experience in malware resolution when malware targets the general public than when a specific victim is targeted. Similar results-for example, the higher (lower) effect of cross-family (within-family) experience-were observed in the presence of information sharing among software vendors or during a disruption caused by a catastrophe. Our study contributes to a better understanding of the specific expertise required for security countermeasure providers to be able to respond under varying conditions to fast-evolving malware.
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Collections - Korea University Business School > Department of Business Administration > 1. Journal Articles
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