Dette systemet er ikke lenger i aktivt bruk og har blitt erstattet av Panopto i løpet av sommeren 2023. Les mer her.
| Dato | Tittel | Foreleser | Emne | |
|---|---|---|---|---|
 |
9. februar 2016 Kl. 11.15 45 min C007 |
IMT4661 Second Class -- Third hour | Jose Julio Cabeza Gonzalez | IMT4661 |
 |
2. februar 2016 Kl. 15.15 45 min Lille Eureka, 1/3 Eureka |
IMT4661 Day 1 - Fourth hour | Jose Julio Cabeza Gonzalez | IMT4661 |
 |
9. februar 2016 Kl. 16.15 45 min Lille Eureka, 1/3 Eureka |
IMT4661 Second Class -- Fourth hour | Jose Julio Cabeza Gonzalez | IMT4661 |
 |
1. mars 2016 Kl. 09.18 42 min C007 |
IMT4661 Day 3 - First hour | Jose Julio Cabeza Gonzalez | IMT4661 |
 |
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 |
 |
17. mars 2017 Kl. 14.15 105 min K102 |
Investering og finansiering | Per Jacobsen | Investering og finansiering |
 |
10. februar 2017 Kl. 13.10 120 min K102 |
Investering og finansiering del 2 | Per Jacobsen | Investering og finansiering |
 |
24. februar 2017 Kl. 10.15 345 min K102 |
Investering og finansiering | Per Jacobsen | Investering og finansiering |
 |
27. januar 2017 Kl. 14.07 45 min K102 |
Investering og finansiering del 2 | Per Jacobsen | Investering og finansiering del 2 |
 |
3. februar 2017 Kl. 10.15 285 min K102 |
Investering og finansiering | Per Jacobsen | Investering og finansiering vår 2017 |
 |
25. oktober 2016 Kl. 13.15 240 min C007 |
Jan O. Heimdal | Jan O. Heimdal | Jan O. Heimdal |
 |
18. oktober 2016 Kl. 13.15 240 min C007 |
Jan O. Heimdal | Jan O. Heimdal | Jan O. Heimdal |
 |
15. januar 2016 Kl. 10.30 60 min Lille Eureka, 1/3 Eureka |
Opplæring Paga for ansatte | Oddny Hoel | Kurs |
 |
20. august 2016 Kl. 19.00 10 min |
Del 12 - Minnekretser | Henning Gundersen | Kurs i digitalteknikk |
 |
20. august 2016 Kl. 15.00 34 min |
Del 8 - MUX, DEMUX, RAM, ROM | Henning Gundersen | Kurs i digitalteknikk |
 |
14. november 2016 Kl. 14.26 105 min K102 |
Mikroøkonomi del 2 14.11.2016 | Per Jacobsen | Mikroøkonomi |
 |
31. oktober 2016 Kl. 13.15 165 min K102 |
Mikroøkonomi 31. 10. 2016 | Per Jacobsen | Mikroøkonomi |
 |
11. september 2017 Kl. 14.15 165 min K102 |
Forelesning 4 mikro høst 2017 | Per Jacobsen | Mikroøkonomi |
 |
15. mai 2017 Kl. 12.15 60 min K102 |
Information meeting, 3.semester MiXD | Frode Volden | MiXD, 3.semester |
 |
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 |
 |
24. november 2016 Kl. 08.15 105 min C007 |
Divers | MHB | MTL |
 |
25. august 2017 Kl. 10.15 225 min K102 |
25 Aug | MHB | MTL |
 |
8. juni 2016 Kl. 12.10 60 min K102 |
NISlab Allmøte | Laura Georg | NISlab internal |
 |
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 |
 |
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 |
 |
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 |
 |
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 |
 |
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 |
 |
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 |
 |
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 |