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Mikko Korkiakoski

dblp:311/8486 · DBLP profile ↗
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2ranked-venue papers
1as first author
2since 2021 · last 2023
0000-0001-7851-2012ORCID · corroborated

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

Artificial intelligence and machine learning · 1 · 1 first-author · 1 since 2021Computer networks · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 first-author · 1 since 2021Human-computer interaction and ubiquitous computing · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Network and information security
1 paper
Systems and software security · 100%
Computer graphics and multimedia
1 paper
Virtual and augmented reality · 100%
Human-computer interaction and pervasive computing
1 paper
Ubiquitous computing and smart environments · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Systems and software security › insider threat › insider threat detection
insider attack detection
0.712023
Augmented Reality Integration for Real-Time Security and Maintenance in IoT-Enabled Smart Campuses · ICNP 2023

Methods — techniques the papers use, named apart from their topics

augmented reality visualization · 2.0
YearPublicationVenuePosition
2023 Augmented Reality Integration for Real-Time Security and Maintenance in IoT-Enabled Smart Campuses
abstract
The rapid integration of Internet of Things (loT) systems in public infrastructure like smart campuses has ex-panded the attack surface through edge devices, amplifying the risk of insider attacks. Traditional defense tools use centralized systems, typically located off-campus, for log monitoring to facilitate intrusion detection and security protocol enforcement in smart infrastructures. The limited real-time data access and observability provided to on-site staff in smart buildings under this traditional approach presents an advantage to intruders with physical access to exploit vulnerabilities in the loT sensing and perception layers. In this study, we explore the integration of Augmented Reality (AR) technology to facilitate real-time monitoring of various sensors and loT devices to provide an application for actionable insights for security and maintenance in a smart campus environment. The proposed application aims to enable key non -expert personnel, such as security guards and maintenance staff, to actively participate in cybersecurity defense by providing immediate data access and connectivity between dispersed endpoints throughout the campus. The paper further investigates the potential benefits and challenges of using AR interfaces to visualize complex sensor networks. In addition, we discuss the implications of our findings on the future design and management of smart campuses, emphasising improving the efficiency and effectiveness of operations and maintenance activities.
Khalil Chakal, Mikko Korkiakoski, Hassan Mehmood, Theodoros Anagnostopoulos, Paula Alavesa, Panos Kostakos 0001
ICNP2
2021 Using smart glasses for monitoring cyber threat intelligence feeds
abstract
The surge of COVID-19 has introduced a new threat surface as malevolent actors are trying to benefit from the pandemic. Because of this, new information sources and visualization tools about COVID-19 have been introduced into the workflow of frontline practitioners. As a result, analysts are increasingly required to shift their focus between different visual displays to monitor pandemic related data, security threats, and incidents. Augmented reality (AR) smart glasses can overlay digital data to the physical environment in a comprehensible manner. However, the real-life use situations are often complex and require fast knowledge acquisition from multiple sources. In this study we report results from an experiment with six subjects using an AR overlaid information interface coupled with traditional computer monitors. Our goal was to evaluate a multi tasking setup with traditional monitors and an AR headset where notifications from the new COVID-19 MISP instance were visualized. Our results indicate that better situational awareness does translate to increased task performance, but at the cost of a gender gap that requires further attention.
Mikko Korkiakoski, Fatima Sadiq, Febrian Setianto, Ummi Khaira Latif, Paula Alavesa, Panos Kostakos 0001
ASONAM1