DocumentCode
2286866
Title
Information security measures and regulation research
Author
Gong, Guo-Quan ; Qiang, Shuang ; Wang, Jun
Author_Institution
Sch. of Manage., Harbin Inst. of Technol., Harbin, China
fYear
2009
fDate
14-16 Sept. 2009
Firstpage
2184
Lastpage
2189
Abstract
In order to analyze the online enterprises information security optimal management measures quantitatively, a information security decision model is constructed. Based on the online firms information security decision analysis, found that the information security measures investment is proportioned to firm online business scale, Lots of online small-and-medium-enterprises become huge threads to Internet because they are without incentive investment in security measures. When firms are attacked by independent threads, the enterprises can deploy security measures optimization respectively, but net attacks are contagious threats, the enterprises will loss enormous profits in spite of deployed security measures. Then government regulation is necessary. Government takes taxes and subsidy strategy to realize social optimal welfare, the comparing difference regulation results with complete and incomplete information are proposed in the model.
Keywords
Internet; computer viruses; decision theory; government policies; information systems; investment; optimisation; profitability; small-to-medium enterprises; socio-economic effects; tax preparation; Internet; computer virus; government regulation; independent thread; online enterprise information security system; online firm information security decision model; online small-and-medium-enterprise; optimal management measure; profit; security investment; social optimal welfare; social security measure optimization; subsidy strategy; tax; Conference management; Engineering management; Government; Information analysis; Information management; Information security; Internet; Investments; Management information systems; Technology management; government regulation; information security; optimization security measures; vulnerability;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science and Engineering, 2009. ICMSE 2009. International Conference on
Conference_Location
Moscow
Print_ISBN
978-1-4244-3970-6
Electronic_ISBN
978-1-4244-3971-3
Type
conf
DOI
10.1109/ICMSE.2009.5317613
Filename
5317613
Link To Document