Bayesian Attack Model for Dynamic Risk Assessment

Jun 29, 2016 - Abstract. Because of the threat of advanced multi-step attacks, it is of- ten difficult for security operators to completely cover all ...

0 downloads 9 Views 532KB Size

Recommend Documents

Jul 25, 2006 - A Bayesian Net (BN) is a directed acyclic graph (probabilistic expert system) in which every node represents a random ... (by decision graph) for their mitigation [3, 5, 7]. Enterprise risk can be defined as the .... We define the stan

Aug 29, 2016 - ABC for max-stable processes in order to model spatial extremes and Soubeyrand et al. (2013) applied ABC ... ABC fitting strategy for repulsive point processes along with model validation for and comparison strategy ... Finally, Sectio

Feb 19, 2010 - cash subadditivity, which was introduced by El Karoui and Ravanelli ...... money market account, then each ρt is cash additive by Proposition 39 ...

Jul 21, 2016 - Key words: Bayesian statistics, big data, disruptions and risks, empirical, international air cargo logistics, ... glamorous passenger side of the business (passenger air transport industry)' (Morrell 2011). ... gaps between different

Nov 28, 2013 - to forecast mortgage prepayment rates. More recently, Kiefer (2010) intro- duces the incorporation of expert knowledge in estimating default rates from a Bayesian point of view, details a binomial model with dependent defaults and disc

Feb 2, 2016 - University Ca' Foscari of Venice. Bertrand B. Maillet. A.A.Advisors-QCG (ABN ..... with mt ∈ N, and T0 = Id is the identity kernel. We assume that the jumping kernel satisfies ...... manager's composite index provided by the Institute

Abstract - Success of any IT industry depends on the success rate of their projects, which in turn depends on several factors such as cost, time, and ... Graphical Visualization of Risk Assessment for Effective Risk Management during Software Develop

Mar 9, 2018 - for data analysis is topological data analysis (TDA), which refers to a set of methods for estimating topological structure in data ... data by [8], applying persistence measures for the analysis of the observed spatial distribution of

Received June 17, 2010; Accepted November 15, 2010; Published December 31, 2010. Copyright: © 2010 ... calculations for customers using their genotype data in the product that is offered by Navigenics Inc. The research in this article was conducted

Customs & Excise to determine which spreadsheet applications they need to test in depth in order to gain assurance that they calculate taxes and duties correctly. A note on Terminology. The terminology used in this paper reflects the fact that Micros

sensible answers when tested with simple numbers (for example, if the answer to. =+5+5 is 7 then ... Transposition of digits and other keying errors can easily corrupt the receiving file or worksheet. Similarly, automatic links ... contain constants

Sep 2, 2017 - Abstract. The manifold interactions between safety and security aspects in embed- ded systems makes it plausible to handle safety and security risks in a unified way. The paper develops a corresponding risk measure in the context of dis

Oct 12, 2017 - Abstract. The dynamic of temperatures can be modelled by a mean-reverting process such as an Ornstein-. Uhlenbeck one. In this study, we estimate the parameters of this process thanks to daily observed suprema of temperatures, which ar

Aug 21, 2014 - the two basic operational paradigms, that underlie the mathematical theory of assessment indices, are well appreciated truths that in any kind of economic/financial activities: (A) Diversification is better than concentration; ...... R

Aug 5, 2015 - ... materials, including R code and the multi-economy yield curve data, are available online. ...... Technical report, Merrill Lynch working paper.

Jul 31, 2014 - number of available routing solutions, it is difficult to understand which one has the best performance, since all ... evaluating solutions through fair comparisons. Simulation results based on the proposed model revisit the ..... This

Feb 19, 2010 - first version: November 13, 2009; this version: February 19, 2010. Abstract ... risk measures we refer to Delbaen [14] and Föllmer and Schied [22, Chapter 4]. .... in [12, 13]. Finally, the dynamic entropic risk measure with a non-con

Mar 9, 2018 - tracking of a temporally evolving minimum. By exploiting ... usually very complex and can be difficult to solve or auto- mate, especially for tasks ... Bayesian optimization with GPs for continuous spaces, there has been less for ...

May 22, 2015 - Abstract. The traditional time series methodology requires at least a preliminary transformation of the data to get stationarity. On the other hand, Robust Bayesian Dynamic Models (RBDMs) do not assume a regular pattern or stability of

Jun 27, 2017 - Our method is used alongside a large range of state process estimation algorithms making it highly flexible, even for non- linear or non-Gaussian models. We provide evidence corresponding to our claims through a series of examples. The

Apr 4, 2016 - Many retailers today employ inventory management systems based on Re-Order Point Policies, most of which rely on the assumption that all decreases in product inventory levels result from product sales. Unfortunately, it usually happens

Mar 12, 2012 - approach. In Section 5 we note that improper priors may render the reference posterior improper; in this context we suggest a remedy using cross-validation. We provide a summary of our illustrations of the IRD approach with various exa

Jul 12, 2017 - Common measures of risk used in risk management are "value at-risk" (V aR) and "conditional value at-risk" (CV aR) ... portfolio management by deriving the relevant parameters of the copula models from prices of traded assets. Studies

Jan 31, 2007 - terms of an inductive learning task carried out by a recursive neural network. Recursive neural networks are connectionist models capable of solving supervised and non-supervised learning problems represented by directed ordered acycli