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Siv Hilde Houmb, SU-group, NTNU
Status PhD work 19. Nov. Siv Hilde Houmb, SU-group, NTNU
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General info Name: Siv Hilde Houmb
Supervisors: Professor Tor Stålhane, Professor Maria Letizia Jaccheri, Per R. Hokstad Sintef Teknologiledelse, Sikkerhet og pålitelighet Year of Ph.D.: Second year Title of Ph.D.: ‘Quantifying security risks using "all" available data: A risk-based integrated system development and risk management approach’
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Status More or less finished the credit part of the PhD work
Missing one presentation in IT-emner Will take a substitution course for one of the courses (stochastic processes and system theory) Done some work on the background part Published some papers Given a tutorial on Critical Systems Development using MBRA and UMLsec: Methods and Tools Working on two papers Process Algorithm
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Last semester Guest stay at Sintef Tele and Data in Oslo under the supervision of Dr. Ketil Stølen Worked on refining and extending the CORAS MBRA methodology for quantification of risks (SOL) Locked into RA methods from the Safety and Security domain (HazOp, FMEA, FTA, Markov, Monte Carlo Simulation, Attack tree analysis, checklist – will lock into BBN and PN) Adapted these methods to security assessment Evaluate and then combining (taking the “best” and most suitable from each method) methods for description models for subjective expert judgment Working on an extension to UML for security assessment as a platform for communication which is crucial when combining data (same understanding)
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Next semester Papers Integrated system development and risk management process for quantification of risks How to make use of all available data when quantifying risks Extension to UML for quantifying risk using subjective expert judgment – Security assessment Object Language (SOL) Integrated process for secure systems development and how we can use UMLsec to express and test non-functional requirements: co-operation with Jan Jurjens
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Next semester cont. Results from AIBO-lego-project so fare
FIPA agent security Result from the Honepot-project: obtaining, analysing and using “objective” data when quantifying risks
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Next semester: things to do
Refining and extending the process Work on how to best make use of all available data (objective and subjective) Objective data Continue working on establishing a honeynet in corporation with PDS at Økokrim (includes one Honeypot and one IDS at the moment) Investigate what on how required other objective data/information can be obtain (in corporation with SIS?)
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Open issues Trials; how, when and how many? The stay abroad
Professor Dr. Eric Sharf, QMUL Professor Dr. Robert France, Colorado State University Professor Dr. Davis Basin, ETG
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