EDBT 2026 Demo / reviewers in the wild / expert
Marin Bugaric
dblp:139/0569
· DBLP profile ↗
4ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0003-4391-6804ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Security and privacy · 2Artificial intelligence and machine learning · 1 · 1 first-authorHuman-computer interaction and ubiquitous computing · 1
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 |
Usable security · 46% Hardware security and side channels · 30% Authentication and access control · 23% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usable security
authentication usability |
0.2 | 1 | 2015 | Timing Attacks on Cognitive Authentication Schemes · IEEE Trans. Inf. Forensics Secur. 2015 |
Authentication and access control › knowledge-based authentication
cognitive authentication |
0.2 | 1 | 2015 | Timing Attacks on Cognitive Authentication Schemes · IEEE Trans. Inf. Forensics Secur. 2015 |
Usable security
security-usability tradeoff |
0.2 | 1 | 2015 | Timing Attacks on Cognitive Authentication Schemes · IEEE Trans. Inf. Forensics Secur. 2015 |
Hardware security and side channels › side-channel attack
timing side channel |
0.2 | 1 | 2015 | Timing Attacks on Cognitive Authentication Schemes · IEEE Trans. Inf. Forensics Secur. 2015 |
Hardware security and side channels
side-channel attack |
0.1 | 1 | 2015 | Timing Attacks on Cognitive Authentication Schemes · IEEE Trans. Inf. Forensics Secur. 2015 |
Methods — techniques the papers use, named apart from their topics
user study · 0.2theoretical analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | On WPA2-Enterprise Privacy in High Education and ScienceabstractA plethora of organizations, companies, and foremost universities and educational institutions are using WPA2-Enterprise protocol to allow their end-users to connect to provided Wi-Fi networks. When both the provider’s and the end-user’s devices are configured properly, it is considered one of the safest Wi-Fi connection protocols with the added benefits of having a unique password for every Wi-Fi user. However, a known evil twin attack can be performed to steal users’ Wi-Fi login credentials, if the devices are not configured correctly. Considering the widespread use of Wi-Fi-enabled smartphones and rising concerns regarding users’ privacy, we focus on the privacy aspects of WPA2-Enterprise vulnerabilities mainly on the widespread Eduroam network. We show that device deanonymization is a concerning liability of many Eduroam networks. More than 87% of 1650 devices collected during a two-month test on our university are vulnerable to MAC address deanonymization attack. Furthermore, by analyzing the Eduroam Configuration Assistant Tool of 1066 different institutions around the world, 67% of exported Eduroam profiles having the Wi-Fi device reveal the user’s identity in the clear, thus linking the users with the device’s MAC address. Indeed, the analysis of the configuration profiles has been confirmed by performing the deanonymization attack on a large-scale international music festival in our country, where 70% of the devices have been vulnerable. Additionally, we showcase the psychological aspects of secure Eduroam users, where some are willing to modify secure configuration profiles to gain aspects to certain blocked features. As a result, the attacker is granted with user credentials and IMSI number and provided with access to all Eduroam-related services. Toni Perkovic, Ante Dagelic, Marin Bugaric, Mario Cagalj |
Secur. Commun. Networks | 3 |
| 2015 | Fortune cookies and smartphones: Weakly unrelayable channels to counter relay attacks
Mario Cagalj, Toni Perkovic, Marin Bugaric, Shujun Li 0001 |
Pervasive Mob. Comput. | 3 |
| 2015 | Timing Attacks on Cognitive Authentication SchemesabstractClassical password/PIN-based authentication methods have proven to be vulnerable to a broad range of observation attacks (such as key-logging, video-recording or shoulder surfing attacks). In order to mitigate these attacks, a number of solutions have been proposed, most of them being cognitive authentication schemes (challenge-response protocols that require users to perform some kind of cognitive operations). In this paper, we show successful passive side-channel timing attacks on two cognitive authentication schemes, a well-known Hopper-Blum (HB) protocol and a U.S. patent Mod10 method, previously believed to be secure against observation attacks. As we show, the main security weakness of these methods comes from detectable variations in the user's cognitive load that results from cognitive operations during the authentication procedure. We carried out theoretical analysis of both Mod10 and HB methods, as well as an experimental user study of Mod10 method with 58 participants to validate the results of our timing attacks. We also propose security enhancements of these schemes aimed to mitigate the timing side-channel attacks. The proposed enhancements show the existence of a strong tradeoff between security and usability, indicating that the security of cognitive authentication schemes comes at a non-negligible usability cost (e.g., increased overall login time). For this reason, the designers of new cognitive authentication schemes should not ignore possible threats induced by side-channel timing attacks. Mario Cagalj, Toni Perkovic, Marin Bugaric |
IEEE Trans. Inf. Forensics Secur. | 3 |
| 2014 | Adaptive estimation of visual smoke detection parameters based on spatial data and fire risk index
Marin Bugaric, Toni Jakovcevic, Darko Stipanicev |
Comput. Vis. Image Underst. | 1 |