The Experts below are selected from a list of 6 Experts worldwide ranked by ideXlab platform
Phillip King-wilson - One of the best experts on this subject based on the ideXlab platform.
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Cyber risk analysis and valuation: a new combinatorial models and systems approach
International Journal of Business Continuity and Risk Management, 2017Co-Authors: Phillip King-wilsonAbstract:Cyber threat assessment requires threat identification and quantification for critical tasks such as risk management, underwriting and regulatory compliance. Traditional risk assessment models are used to determine threats, business impact and probability of a successful attack. However, analysis models exist, external to the IT security sector that can provide input to risk models to improve cloud computing applicability and error rate reduction in threat identification technologies for enhanced accuracy. Cloud computing and virtualisation have changed the cyber threat vector environment. Cloud utilisation options have new risk implications and their architectures require an alternative form of Loss modelling to account for the various levels, location and utilisation at which an attack may take place. This paper proposes a combinatorial modelling and systems approach to assessing and valuing cyber threats, based upon the need to satisfy regulatory bodies to financially quantify such threats in an empirical and transparent manner. Epidemiological models for assessing error rates are combined within an extrapolation algorithm for cyber threats, increasing assessment accuracy. A cascading threat multiplier is used to reformulate traditional Single Loss Expectancy risk models.
Carl F. Endorf - One of the best experts on this subject based on the ideXlab platform.
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Information Security Management Handbook, 6th ed. - Measuring ROI on Security
2007Co-Authors: Carl F. EndorfAbstract:Carl F. Endorf 12.1 Understanding ROI 133 12.2 Asset Identification and Valuation 134 12.3 Threat and Vulnerability Exposure Factor 134 12.4 Determine the Single Loss Expectancy 135 12.5 Annualized Rate of Occurrence 135 12.6 Annual Loss Expectancy 135 12.7 Survey Controls 135 12.8 Calculate Your ROSI 135 ROSI Example † Arguments against ROSI