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Organizational Risk and the Costs and Benefits of Biometrics

Organizational Risk and the Costs and Benefits of Biometrics. Presentation to the European Union Biometrics Group May 14, 2004 Virginia Franke Kleist, Ph.D. College of Business and Economics West Virginia University West Virginia, USA. Introduction.

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Organizational Risk and the Costs and Benefits of Biometrics

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  1. Organizational Risk and the Costs and Benefits of Biometrics Presentation to the European Union Biometrics Group May 14, 2004 Virginia Franke Kleist, Ph.D. College of Business and Economics West Virginia University West Virginia, USA

  2. Introduction • Economic drivers for the biometrics industry • Vendor Manufacturing Issues • Vendor Marketing Issues • Customer risk as a potential cost • The costs and benefits of biometrics • The biometrics decision as optimizing the fit between organizational risk and biometrics cost

  3. How Can Academics Understand the Biometrics Industry? • Positive network externalities, tipping point, increasing returns to scale • Embedded base, large government purchases • Production economics • Open source code issues and standards development • Information industries and dominant firms, new technology market behaviors • Transactions cost theory • Substitution goods

  4. Path Dependency to Technology Dominance Product A (e.g., VHS, QWERTY keyboard) Time Product B (e.g., Beta, Dvorak keyboard)

  5. Biometrics Industry Supply and Demand Price Quantity

  6. Price As user’s potential risk of loss increases, users will pay more for increased security from biometric, cost benefit, and vulnerability Do various biometric devices cost more as their security detection cost/benefit profiles increase? Is there a relationship? Can two do a better job than one? R3 R2 R1 • The customer demand for biometrics devices, (Yb)is some functionof the following variables: Quantity Yb = - ß1 x1 +ß2 x2 - ß3 x3 -ß4 x4 - ß5 x5 -ß6 x6 + ß7 x7 +  x1 = Price of system; x2 = Effectiveness of establishing security for buyer: e.g., ease of use, enrollment, stability of technology, resistance to false matching (single or system), false non-match rate, stability of biometric over time, perceptions of intrusiveness, convenience vs. deterrence (Nanavati, et al., 2002); x3 = Price and effectiveness of substitution goods: Pin numbers, security guard, closed system, redundancy, backup procedures, disaster planning; x4 = Insurance infrastructure: Is the potential loss from improper intrusion covered by insurance; x5 = Legal structure: Effectiveness of legal infrastructure for prosecution of intrusion violations (Lessig, 1999); x6 = Human Trust: The intrinsic level of trust between the parties involved x6 = Risk of Loss from intrusion

  7. Vendor Supply Side Manufacturing Issues • How well can we make the device work? • How cheaply can we make the device? • Can we manipulate the market to help reduce our production costs? • Are we getting more cost effective as we sell these devices over time? • How much more should we spend on our product development?

  8. Vendor Supply Side Marketing Issues • Within market and across market issues • Market share of device type, market share of vendor • What’s the “buzz” ? • Standards vs. proprietary systems • Number of competitors within niche • Does the government like you? • Can you lose money on your product in the short run?

  9. Enterprise Level Precursor: Biometrics within Context of Organizational Risk (1) Identify areas: potential security / internal control risk (2) Identify Potential Threats to Areas within Organization (3) Identify Possible Controls and Prevention Procedures (4) Estimate cost of security Breach/IC to organization (5) Estimate likelihood of security breach, need for IC (6) Calculate expected value and likelihood of a quantifiable loss • Rank the most significant quantitative • risks from most expensive to least (8) Out of Box thinking on risk, or qualitative risk analysis (9) Rank the most significant qualitative risks faced by the organization • Quantitative + Qualitative • Ranking (11) EVALUATE APPLICABILITY OF BIOMETRICS AS A SOLUTION WITHIN CONTEXT OF ORGANIZATIONAL RISK AND FIT TO SECURITY AND CONTROL ARCHITECTURE

  10. A Pictorial Representation of the Business Case Process: (1) Document the business problem or opportunity (2) Precursor decisions – Document that biometrics would be considered an acceptable solution provided that biometric technologies resolve the business problem (3) Frame the business problem in terms of biometrics: Verification or identification Physical versus logical access Large versus small number of users (4) Document the strengths and weaknesses of the various biometrics technologies (solo and/or multi-modal) as a solution to the business process

  11. (5) Document the strengths and weaknesses of the baseline solution and various substitute goods as a solution to the business process (6) Determine performance expectations for any solution and evaluate whether biometrics, baseline and substitute goods solutions meet those expectations (7) Document benefits Quantifiable Soft / Non-Quantifiable (8) Document costs Quantifiable Soft / Non-Quantifiable (9) Perform Sensitivity Testing (10) Make decision / Implement pilot test / Modify / Full-implementation

  12. Organizational Risk and the Costs and Benefits of Biometrics • Biometric benefit is to reduce risk • Organizational risk can be security or control, internal or external • The level of risk alters the cost benefit analysis- more risk, more benefit from a biometric • There may be a fit between the nature of the risk and the optimal biometric solution

  13. Organizational Risk and the Costs and Benefits of Biometrics • Evaluating risk to buyers: what kind of risk? • Evaluation solutions chosen by buyers: what biometrics chosen and why, what substitutes chosen and why • Evaluating biometric in terms of nature of solution • Evaluating fusion of biometrics as a solution to risk • Evaluating biometrics fused with non-biometric substitute good as a solution to risk

  14. Contact • Thank you for your interest • Best wishes on implementation • Virginia Kleist: 304-293-7939, vfkleist@mail.wvu.edu • Please contact me regarding issues of organizational risk and biometric fit

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