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Dato Tittel Foreleser Emne
Tommelnegl 9. februar 2016
Kl. 11.15
45 min
C007
IMT4661 Second Class -- Third hour Jose Julio Cabeza Gonzalez IMT4661
Tommelnegl 2. februar 2016
Kl. 15.15
45 min
Lille Eureka, 1/3 Eureka
IMT4661 Day 1 - Fourth hour Jose Julio Cabeza Gonzalez IMT4661
Tommelnegl 9. februar 2016
Kl. 16.15
45 min
Lille Eureka, 1/3 Eureka
IMT4661 Second Class -- Fourth hour Jose Julio Cabeza Gonzalez IMT4661
Tommelnegl 1. mars 2016
Kl. 09.18
42 min
C007
IMT4661 Day 3 - First hour Jose Julio Cabeza Gonzalez IMT4661
Tommelnegl 24. april 2017
Kl. 11.10
50 min
D101
Security Planning and Incident Management: Seminar 6
Wrap-up of course content and information about the exam
Marie Elisabeth Gaup Moe IMT4841
Tommelnegl 17. mars 2017
Kl. 14.15
105 min
K102
Investering og finansiering Per Jacobsen Investering og finansiering
Tommelnegl 10. februar 2017
Kl. 13.10
120 min
K102
Investering og finansiering del 2 Per Jacobsen Investering og finansiering
Tommelnegl 24. februar 2017
Kl. 10.15
345 min
K102
Investering og finansiering Per Jacobsen Investering og finansiering
Tommelnegl 27. januar 2017
Kl. 14.07
45 min
K102
Investering og finansiering del 2 Per Jacobsen Investering og finansiering del 2
Tommelnegl 3. februar 2017
Kl. 10.15
285 min
K102
Investering og finansiering Per Jacobsen Investering og finansiering vår 2017
Tommelnegl 25. oktober 2016
Kl. 13.15
240 min
C007
Jan O. Heimdal Jan O. Heimdal Jan O. Heimdal
Tommelnegl 18. oktober 2016
Kl. 13.15
240 min
C007
Jan O. Heimdal Jan O. Heimdal Jan O. Heimdal
Tommelnegl 15. januar 2016
Kl. 10.30
60 min
Lille Eureka, 1/3 Eureka
Opplæring Paga for ansatte Oddny Hoel Kurs
Tommelnegl 20. august 2016
Kl. 19.00
10 min
Del 12 - Minnekretser Henning Gundersen Kurs i digitalteknikk
Tommelnegl 20. august 2016
Kl. 15.00
34 min
Del 8 - MUX, DEMUX, RAM, ROM Henning Gundersen Kurs i digitalteknikk
Tommelnegl 14. november 2016
Kl. 14.26
105 min
K102
Mikroøkonomi del 2 14.11.2016 Per Jacobsen Mikroøkonomi
Tommelnegl 31. oktober 2016
Kl. 13.15
165 min
K102
Mikroøkonomi 31. 10. 2016 Per Jacobsen Mikroøkonomi
Tommelnegl 11. september 2017
Kl. 14.15
165 min
K102
Forelesning 4 mikro høst 2017 Per Jacobsen Mikroøkonomi
Tommelnegl 15. mai 2017
Kl. 12.15
60 min
K102
Information meeting, 3.semester MiXD Frode Volden MiXD, 3.semester
Tommelnegl 12. oktober 2017
Kl. 10.15
105 min
D101
Gjesteforelesning_Elias Carayannis
Business model innovation for social innovation: design thinking and digital transformation
Elias Carayannis MSUMA
Tommelnegl 24. november 2016
Kl. 08.15
105 min
C007
Divers MHB MTL
Tommelnegl 25. august 2017
Kl. 10.15
225 min
K102
25 Aug MHB MTL
Tommelnegl 8. juni 2016
Kl. 12.10
60 min
K102
NISlab Allmøte Laura Georg NISlab internal
Tommelnegl 27. januar 2017
Kl. 12.10
60 min
K105
Enhancement of human performance in military cyber operations by facilitating the application of behavioral science in cyber defence practice
In cyber operations, we are less directly confronted with the outcomes of our action than in situations of physical or direct engagement. Our anticipation of future outcomes are more abstract or differently specified, less detailed, and typically decision-making processes are conducted under multiple converging and diverging pressures. These circumstances, are assumed but not yet well-understood aspects of cognition, such as an increased tolerance to uncertainty or management of cognitive load, all contribute to how judgements and decisions are made to act and determine the overall performance. The effects of digitisation on decision-making and the contribution of behavioural sciences are largely not investigated within the cyber domain, but this can nonetheless have immediate effects on cyber security at national and international level. In the wake of Cyber Pledge, this calls for an intensified effort in research, training and education of personnel with cyber competence. This talk will focus on human factors in cyber operations. What has been done so far by the research group *PACE-CYBORG*, and the future landscape ahead.
Øyvind Jøsok & Benjamin Knox NISlecture
Tommelnegl 27. oktober 2017
Kl. 12.12
55 min
Store Eureka, 2/3 Eureka
20år med sikkerhetssertifisering – nonstop – fortsatt usikker på om det smaker?
NT har vært sikkerhetssertifisert i 20 år og har arbeidet systematisk med risiko, informasjonssikkerhet og opplæring i en årrekke. Gode sikkerhetstiltak er et avgjørende bidrag til å skape tillit hos kunder, kanskje det viktigste… Temaet for forelesningen gir et innblikk i hvordan NT arbeider med å ha kontroll på risikoer, sikkerheten for sine 400 ansatte og de 2 millioner kundene – og hvorfor Nonstop smaker like godt år etter år…
Trond Laupstad NISlecture
Tommelnegl 26. august 2016
Kl. 12.10
50 min
K102
NISlecture2016/8: Practical Risk Assessments: A Trial by Fire
NISlecture2016/8: Practical Risk Assessments: A Trial by Fire
Gaute Wangen NISlecture
Tommelnegl 19. mai 2017
Kl. 12.12
55 min
K105
A novel Binarization Scheme for Real-valued Biometric Feature
Biometric binarization is the feature-type transformation that converts a specific feature representation into a binary representation. It is a fundamental issue to transform the real-valued feature vectors to the binary vectors in biometric template protection schemes. The transformed binary vectors should be high for both discriminability and privacy protection when they are employed as the input data for biometric cryptosystems. We present a novel binarization scheme based on random projection and random Support Vector Machine (SVM) to further enhance the security and privacy of biometric binary vectors. The proposed scheme can generate a binary vector of any given length as an ideal input for biometric cryptosystems. In addition, the proposed scheme is independent of the biometric feature data distribution. Several comparative experiments are conducted on multiple biometric databases to show the feasibility and efficiency of the proposed scheme.
Jialiang Peng NISseminar
Tommelnegl 15. september 2017
Kl. 12.12
55 min
A146
Big Data Analytics: Topic Modeling for Digital Forensics Investigations and Cyber Threat Intelligence
“Big Data Analytics” has become a high priority topic in Cyber Research and in the field of Cyber Security, Big Data represents a very serious problem. In the domain of Digital Forensics Investigations (DFI), the sheer volume of data to be analyzed impedes police operations that require timely reporting of DFI results to support active criminal investigations in the field. In the domain of Cyber Threat Intelligence (CTI), a rapid assessment of the available threat data is required to enable dissemination of actionable intelligence in a timely manner. Topic Modeling is an unsupervised machine learning method for analyzing large bodies of text data and producing estimates of the topics under discussion in them. To gain some insight into how it works, we reviewed some of the underlying principles of Topic Modeling. Then, I presented experimental results that show how Topic Modeling would work in the specific domains of DFI (using the Enron data set) and CTI (using posts scraped from an online hacker forum).
Carl Stuart Leichter NISseminar
Tommelnegl 23. februar 2017
Kl. 11.20
95 min
K102
NBLAW-2017 Session 2
Norwegian Biometrics Laboratory Annual Workshop - 2017 Theme : Smartphone based biometrics - Opportunities and Challenges Session - 2
Kiran Bylappa Raja Norwegian Biometrics Laboratory
Tommelnegl 23. februar 2017
Kl. 09.25
105 min
K102
NBLAW-2017 Session 1
Norwegian Biometrics Laboratory Annual Workshop - 2017 Theme : Smartphone based biometrics - Opportunities and Challenges Session - 1
Kiran Bylappa Raja Norwegian Biometrics Laboratory