Associate Professor

University of Split

Biography

After receiving diploma thesis, in 2007 he was enrolled at PhD studies at University of Split, FESB, led by prof. Mario Cagalj. Toni defended his thesis titled User Friendly Authentication Mechanisms in User-to-Device and Device-to-Device Interactions in April, 2013, and received the Ph.D. degree in Computer Science.

In 2015 Toni joined University Center of Forensic Sciences as Assistant professor, and was promoted to Associate professor in 2019. In 2020 he joined University of Split, FESB as Associate professor.

His research interests include location privacy, usable security and Internet of Things. He is actively involved in courses in the fields of cryptography and network security, wireless security, wireless sensor networks and computer forensics.

Interests

  • Internet of Things
  • Usable Security
  • Location Privacy

Education

  • PhD in Computer Science, 2013

    University of Split, FESB

  • BSc in Telecommunications, 2007

    University of Split, FESB

Experience

 
 
 
 
 

Associate Professor

University of Split, FESB

Mar 2020 – Present Croatia
 
 
 
 
 

Associate Professor

University of Split, University department of forensic sciences

Oct 2019 – Feb 2020 Croatia
 
 
 
 
 

Assistant Professor

University of Split, University department of forensic sciences

Dec 2015 – Oct 2019 Croatia
 
 
 
 
 

Senior Research Assistant

University of Split, FESB

Apr 2013 – Dec 2015 Croatia
 
 
 
 
 

Research Assistant

University of Split, FESB

Jul 2007 – Apr 2013 Croatia

Projects

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Internet of Things - Research and Applications

Investigation of various aspects in applicability and performance of IoT systems.

Recent Publications

IoT-Ready Energy-Autonomous Parking Sensor Device

A hardware-based approach is introduced which aims at building a self-powered and autonomous sensing node equipped with supercapacitors (battery-less) to feel the vehicle presence. For purposes of detection, solar-based energy harvester and wake-up trigger prototype is considered along with a BLE (Bluetooth Low-Energy) radio.
IoT-Ready Energy-Autonomous Parking Sensor Device

On WPA2-Enterprise Privacy in High Education and Science

More than 87% of 1650 devices collected during a two-month test on our university are vulnerable to Eduroam MAC address deanonymization attack. 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.
On WPA2-Enterprise Privacy in High Education and Science

Towards linking social media profiles with user’s WiFi preferred network list

In this paper we work towards finding the name of the person behind the device’s PNL. We introduce a novel SSID - location tag matching function, followed by an algorithm used for intersecting large PNL datasets with localization tags on Instagram social network.
Towards linking social media profiles with user’s WiFi preferred network list

Analysis of Passive RFID Applicability in a Retail Store: What Can We Expect?

The analysis provided in this paper employs the simulation/measurement study on RFID technology advancement and the influence of radio propagation in a realistic model of the retail environment. The results are provided for different types of the retail layouts and materials that influence tag responsiveness.
Analysis of Passive RFID Applicability in a Retail Store: What Can We Expect?

Smart Parking Sensors: State of the Art and Performance Evaluation

Inspired by the limitations of power-hungry and relatively expensive smart parking sensor devices, two strategies for the optimization are proposed. First one is based on the premise where a drop in received signal strength of the LPWA device can serve as the presence of the vehicle in the parking lot, while the second one proposes a big picture on a novel architecture for harvesting the surrounding energy and using the same for circuitry wake-up therefore saving the energy.
Smart Parking Sensors: State of the Art and Performance Evaluation

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