A Framework for Detecting and Translating User Behavior from Smart Meter Data

Autor: Kidmose, Egon, Ebeid, Emad, Jacobsen, Rune Hylsberg

The European adoption of smart electricity meters triggers the developments of new value-added service for smart energy and optimal consumption. Recently, several algorithms and tools have been built to analyze smart meter's data. This paper introduc

Externí odkaz: http://arxiv.org/abs/1807.03111

An Architecture for Processing a Dynamic Heterogeneous Information Network of Security Intelligence

Autor: Anagnostopoulos, Marios, Kidmose, Egon, Laghaout, Amine, Olsen, Rasmus L., Homayoun, Sajad, Jensen, Christian D., Pedersen, Jens M.

Publikováno v: Anagnostopoulos, M, Kidmose, E, Laghaout, A, Olsen, R L, Homayoun, S, Jensen, C D & Pedersen, J M 2021, An Architecture for Processing a Dynamic Heterogeneous Information Network of Security Intelligence . in M Yang, C Chen & Y Liu (eds), Network and System Security : 15th International Conference, NSS 2021, Tianjin, China, October 23, 2021, Proceedings . Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 13041 LNCS, pp. 185-201, 15th International Conference on Network and System Security, NSS 2021, Tianjin, China, 23/10/2021 . https://doi.org/10.1007/978-3-030-92708-0_11

Security intelligence is widely used to solve cyber security issues in computer and network systems, such as incident prevention, detection, and response, by applying machine learning (ML) and other data-driven methods. To this end, there is a large

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::433a44e231bbec06dcee548e1575d49c
https://vbn.aau.dk/ws/files/474564195/secdns_architecture_paper.pdf

Network-based detection of malicious activities - a corporate network perspective

Autor: Kidmose, Egon

Publikováno v: Kidmose, E 2019, Network-based detection of malicious activities-a corporate network perspective . Ph.d.-serien for Det Tekniske Fakultet for IT og Design, Aalborg Universitet, Aalborg Universitetsforlag . https://doi.org/10.54337/aau300041111

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::8b8621514eae0cb00fdc794fb5df7af0
https://vbn.aau.dk/da/publications/694daea6-e332-4346-9312-1aa38dca250f

Assessing usefulness of blacklists without the ground truth

Autor: Kidmose, Egon, Gausel, Kristian, Brandbyge, Søren, Pedersen, Jens Myrup

Publikováno v: Kidmose, E, Gausel, K, Brandbyge, S & Pedersen, J M 2018, Assessing usefulness of blacklists without the ground truth . in Image Processing and Communications Challenges 10 . Springer, Advances in Intelligent Systems and Computing, vol. 892, pp. 216-223, 10th International Conference on Image Processing & Communications, Bydgoszcz, Poland, 14/11/2018 . https://doi.org/10.1007/978-3-030-03658-4_26

Domain name blacklists are used to detect malicious activity on the Internet. Unfortunately, no set of blacklists is known to encompass all malicious domains, reflecting an ongoing struggle for defenders to keep up with attackers, who are often motiv

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::fe2d1ea55639a7b5cb1ee0b740cc5213
https://vbn.aau.dk/da/publications/449d9f2a-6c19-4153-a542-159db4cf87cd

Correlating intrusion detection alerts on bot malware infections using neural network.

Autor: Kidmose, Egon, Stevanovic, Matija, Pedersen, Jens Myrup

Publikováno v: 2016 International Conference On Cyber Security & Protection Of Digital Services (Cyber Security); 2016, p1-8, 8p