Johannes Olegård

dblp:274/6620 · DBLP profile ↗
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4ranked-venue papers
1as first author
3since 2021 · last 2024
0000-0001-9082-4318ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 3 · 1 first-author · 3 since 2021Artificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1Applied, interdisciplinary, general and emerging computing · 1
YearPublicationVenuePosition
2024 Digital Forensic Acquisition Using Private Internet of Things Cloud Application Programming Interfaces
Johannes Olegård, Stefan Axelsson
IFIP Int. Conf. Digital Forensics1
2023 Penetration testing of connected households
abstract
Connected devices have become an integral part of modern homes and household devices, such as vacuum cleaners and refrigerators, are now often connected to networks. This connectivity introduces an entry point for cyber attackers. The plethora of successful cyber attacks against household IoT indicates that the security of these devices, or the security of applications related to these devices, is often lacking. Existing penetration testing studies usually focus on individual devices, and recent studies often mention the need for more extensive vulnerability assessments. Therefore, this study investigates the cyber security of devices commonly located in connected homes. Systematic penetration tests were conducted on 22 devices in five categories related to connected homes: smart door locks, smart cameras, smart car adapters/garages, smart appliances, and miscellaneous smart home devices. In total, 17 vulnerabilities were discovered and published as new CVEs. Some CVEs received critical severity rankings from the National Vulnerability Database (NVD), reaching 9.8/10. The devices are already being sold and used worldwide, and the discovered vulnerabilities could lead to severe consequences for residents, such as an attacker gaining physical access to the house. In addition to the published CVEs, 52 weaknesses were discovered that could potentially lead to new CVEs in the future. To our knowledge, this is the most comprehensive study on penetration testing of connected household products.
Fredrik Heiding, Emre Süren, Johannes Olegård, Robert Lagerström
Comput. Secur.3
2022 Securing Communication and Identifying Threats in RTUs: A Vulnerability Analysis
abstract
This paper investigates methods to secure Remote Terminal Units (RTUs) which are the building blocks of a smart grid systems - the next generation version to replace the power grid systems that are being used today. RTUs are identified as the heart of automation and control (SCADA) systems by the systems engineers. As such, security and maintaining nominal operability of such devices has prime importance, especially for the industrial automation networks such as the smart grid. A way of measuring the security of systems and networks is executing a series of cybersecurity weakness assessment tests called penetration testing. Another way of such an assessment is called vulnerability analysis by threat modelling which involves careful investigation and modelling of each and every component of a network/system under investigation. This article, aims at marrying these two methodologies for the vulnerability assessment of the RTUs in a methodological and scientific way.
Engla Ling, Jose Eduardo Urrea Cabus, Ismail Butun, Robert Lagerström, Johannes Olegård
ARES5
2020 Smart Home Forensics: An Exploratory Study on Smart Plug Forensic Analysis
abstract
Connectivity as a whole and the Internet of Things (IoT) has influenced a great many things in the past decade. Among those, the most prominent is our daily life routines, which have increasingly started to depend on technology. A Smart Home, being a central part, has gained more importance from a forensic perspective since it affects many lives and can be an easy target for cybercrimes. In this work in progress paper, we explore the feasibility of conducting forensic analysis on different Smart Plugs and what sort of challenges are encountered in such a forensic investigation. We also review current related work for forensic analysis of Smart Plugs.
Asif Iqbal 0012, Johannes Olegård, Ranjana Ghimire, Shirin Jamshir, Andrii Shalaginov
IEEE BigData2