Kort om
Jeg er professor for anvendt informasjonssikkerhet. Jeg forsker og underviser i områdene cybersikkerhet, digital personvern, informasjonssikkerhet, digitale identiteter, personvernsteknologi og risikovurdering innenfor personvern og informasjonssikkerhet.
Jeg underviser mange temaområder innen informatikk, blant annet tingenes internett (IoT), nettverkssikkerhet og innebygget personvern (Privacy by design). Jeg veileder bachelor- og masteroppgaver, gjerne i kontakt med industri, foreninger og offentlige organisasjoner.
Les bloggen om informasjonssikkerhet i forskning og undervisning på OsloMET her: https://uni.oslomet.no/SecurityPrivacyTechnology/
Publikasjonene mine fins på Google Scholar: https://scholar.google.com
Publikasjoner og forskningsresultater
Vitenskapelige publikasjoner
Iwaya, Leonardo Horn; Nordin, Anna; Fritsch, Lothar; Børøsund, Elin; Johansson, Margareta; Varsi, Cecilie; Ängeby, Karin
(2023).
Early Labour App: Developing a practice-based mobile health application for digital early labour support.
9 s.
International Journal of Medical Informatics.
Vol. 177.
https://doi.org/10.1016/j.ijmedinf.2023.105139
Fritsch, Lothar; Hassan, Ismail; Paintsil, Ebenezer
(2023).
Secure IT Systems - 28th Nordic Conference, NordSec 2023, Oslo, Norway, November 16–17, 2023, Proceedings.
ISBN: 978-3-031-47747-8.
352 s.
Springer.
https://link.springer.com/book/10.1007/978-3-031-4...
Fritsch, Lothar
(2023).
Electronic identity mass compromize: Options for recovery.
Roßnagel, Heiko; Schunk, Christian H.; Günther, Jochen (Red.).
Open Identity Summit 2023. s. 141-146.
Gesellschaft für Informatik.
https://doi.org/10.18420/OID2023_13
Alzarqawee, Aws Naser Jaber; Fritsch, Lothar
(2023).
Towards AI-powered Cybersecurity Attack Modeling with Simulation Tools: Review of Attack Simulators.
Leonard, Barolli (Red.).
Advances on P2P, Parallel, Grid, Cloud and Internet Computing
Proceedings of the 17th International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2022). s. 249-257.
Springer.
https://doi.org/https://doi.org/10.1007/978-3-031-...
Fritsch, Lothar; Alzarqawee, Aws Naser Jaber; Yazidi, Anis
(2023).
An overview of artificial intelligence used in malware.
Zouganeli, Evi; Yazidi, Anis; Mello, Gustavo Borges Moreno E; Lind, Pedro (Red.).
Nordic Artificial Intelligence Research and Development: 4th Symposium of the Norwegian AI Society, NAIS 2022, Oslo, Norway, May 31-June 1, 2022, Revised Selected Papers.
Springer Nature.
https://link.springer.com/book/9783031170317
Naser Jaber, Aws; Fritsch, Lothar; Haugerud, Hårek
(2022).
Improving Phishing Detection with the Grey Wolf Optimizer.
Associates, Curan (Red.).
2022 International Conference on Electronics, Information, and Communication (ICEIC 2022)
.
IEEE (Institute of Electrical and Electronics Engineers).
https://doi.org/10.1109/ICEIC54506.2022.9748592
Nordin, Anna; Ängeby, Karin; Fritsch, Lothar
(2022).
Body-Area Sensing in Maternity Care: Evaluation of Commercial Wristbands for Pre-birth Stress Management.
Ur Rehman, Masood; Zoha, Ahmed (Red.).
Body Area Networks. Smart IoT and Big Data for Intelligent Health Management.
16th EAI International Conference, BODYNETS 2021, Virtual Event, October 25-26, 2021, Proceedings. s. 168-175.
Springer.
https://doi.org/https://doi.org/10.1007/978-3-030-...
Fritsch, Lothar; Mecaliff, Marie; Opdal, Kathinka; Rundgreen, Mathias; Sachse, Toril S.
(2022).
Towards robustness of keyboard-entered authentication factors with thermal wiping against thermographic attacks.
Roßnagel, Heiko; Schunk, Christian H.; Mödersheim, Sebastian (Red.).
Open Identity Summit 2022, LNI Volume P325. s. 15-26.
Gesellschaft für Informatik.
https://doi.org/10.18420/OID2022_01
Wairimu, Samuel; Fritsch, Lothar
(2022).
Modelling privacy harms of compromised personal medical data - beyond data breach.
Jaber, Bettina (Red.).
ARES 2022: The 17th International Conference on Availability, Reliability and Security. s. 1-9.
Association for Computing Machinery (ACM).
https://doi.org/10.1145/3538969.3544462
Hatamian, Majid; Wairimu, Samuel; Momen, Nurul; Fritsch, Lothar
(2021).
A privacy and security analysis of early-deployed COVID-19 contact tracing Android apps.
Empirical Software Engineering.
Vol. 26.
https://doi.org/10.1007/s10664-020-09934-4
