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Dr. Milena Djukanovic
Assistant Professor at University of Montenegro

Basic Info

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Research Keywords & Expertise

0 Data Security
0 Digital Forensics
0 Robotics
0 Artifical Intelligence
0 additive Manufacturing / 3D Printing

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Short Biography

Milena Djukanovic is Assistant Professor at the University of Montenegro. Among her most important awards received are: - The award of the Ministry of Science for the most successful woman in science in 2013; - The Danubius Young Scientist Award in 2015, awarded by the Austrian Federal Ministry of Science, Research and Economy and the Institute for the Danube Region and Central Europe( IDM). Milena Djukanovic has participated in the realization of three national scientific and research projects as a coordinator of one bilateral project, as a researcher in international (FP7, Tempus) projects and as an MC Member of three COST projects. At the moment, she is a leader of one national project, a leader of one bilateral project with Chinese partner Changsha University of Science and Technology, a researcher in one bilateral project with Chinese partner Beijing Institute of Technology, and as an MC Member of two active COST projects. She participated in the writing of an university book as the first author and one international and one national scientific monograph as a co-author. As an author or co-author, she published six papers in prominent international journals from the SCI list, as well as some papers in international, regional, and domestic journals and over twenty papers at international, regional, and domestic conferences.

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Conference paper
Published: 12 May 2021 in Inventive Computation and Information Technologies
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One of the most common cyber-attacks is brute force attack which puts users at a high security risk. This paper deals with statistical analysis and comparison of passwords’ strength between two countries - Montenegro and PR of China through the help of extensive digital survey. In-depth analysis has helped us conclude what is the role of culture and computer literacy while creating stronger passwords and improving cyber security. Also, the results show the passwords’ differences that help the creation of a perfect dictionary that can be used as a starting point for programming a brute force attack. One more purpose of this research is to help employees in law enforcement dealing with digital forensics, to find digital evidence in cyber incidents in the shortest amount of time.

ACS Style

Milena Djukanovic; Lazar Novicevic; LieHuang Zhu; Peng Jiang. Dictionary Based Brute Force Attack – Study Case of Montenegro and China. Inventive Computation and Information Technologies 2021, 647 -652.

AMA Style

Milena Djukanovic, Lazar Novicevic, LieHuang Zhu, Peng Jiang. Dictionary Based Brute Force Attack – Study Case of Montenegro and China. Inventive Computation and Information Technologies. 2021; ():647-652.

Chicago/Turabian Style

Milena Djukanovic; Lazar Novicevic; LieHuang Zhu; Peng Jiang. 2021. "Dictionary Based Brute Force Attack – Study Case of Montenegro and China." Inventive Computation and Information Technologies , no. : 647-652.

Conference paper
Published: 12 May 2021 in Inventive Computation and Information Technologies
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The global pandemic, caused by COVID-19, brought the whole world to its knees in 2020. Medical systems worldwide succumbed due to the disease outbreaks while healthcare workers have been fighting at the forefront. Medical supplies were running out in many countries and countless lives were lost because of it. Engineers, inventors, and creators from around the world have teamed up to help this cause through 3D printing solutions. It is additive manufacturing that became a leading light in the fight against the COVID-19 as a go-to method in case of medical supply shortages.

ACS Style

Milena Djukanovic; Mihailo Jovanovic; Nikola Pejovic; Dejan Lutovac. 3D Printing Solutions in the Fight Against Covid-19 Pandemic. Inventive Computation and Information Technologies 2021, 310 -322.

AMA Style

Milena Djukanovic, Mihailo Jovanovic, Nikola Pejovic, Dejan Lutovac. 3D Printing Solutions in the Fight Against Covid-19 Pandemic. Inventive Computation and Information Technologies. 2021; ():310-322.

Chicago/Turabian Style

Milena Djukanovic; Mihailo Jovanovic; Nikola Pejovic; Dejan Lutovac. 2021. "3D Printing Solutions in the Fight Against Covid-19 Pandemic." Inventive Computation and Information Technologies , no. : 310-322.

Journal article
Published: 04 January 2021 in Applied Sciences
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Shortly after the outbreak of the COVID-19 pandemic, there was a need to provide protective equipment to the medical facilities whose supplies were threatened to be depleted. Just like many countries in Europe, Montenegro responded to the need for medical equipment by using the advantages of 3D printers while establishing a state network of production hubs, ensuring closed connectivity, communication, and the mutual fulfilment of personal protective equipment (PPE) demands whenever and wherever required. With the second wave of the pandemic, Montenegro rose to second place in the world with the number of coronavirus cases, which also led to an increasing number of infected medical staff. Since fever is a frequent symptom of SA+RS-CoV2 infection, a type of innovative 3D-printed thermo-sensored medical gear has been designed and tested in hospital conditions. This medical gear shaped like a bracelet, which changes color in the presence of high human body temperatures, proves to be efficient and easy to use for medical staff as well as patients.

ACS Style

Milena Djukanović; Ardijan Mavrić; Jovana Jovanović; Milovan Roganović; Velibor Bošković. Design of 3D Printing Thermo-Sensored Medical Gear in Detecting COVID-19 Symptoms. Applied Sciences 2021, 11, 419 .

AMA Style

Milena Djukanović, Ardijan Mavrić, Jovana Jovanović, Milovan Roganović, Velibor Bošković. Design of 3D Printing Thermo-Sensored Medical Gear in Detecting COVID-19 Symptoms. Applied Sciences. 2021; 11 (1):419.

Chicago/Turabian Style

Milena Djukanović; Ardijan Mavrić; Jovana Jovanović; Milovan Roganović; Velibor Bošković. 2021. "Design of 3D Printing Thermo-Sensored Medical Gear in Detecting COVID-19 Symptoms." Applied Sciences 11, no. 1: 419.

Journal article
Published: 23 November 2020 in Sustainability
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The technology that allows fully automated driving already exists and it may gradually enter the market over the forthcoming decades. Technology assimilation and automated vehicle acceptance in different countries is of high interest to many scholars, manufacturers, and policymakers worldwide. We model the mode choice between automated vehicles and conventional cars using a mixed multinomial logit heteroskedastic error component type model. Specifically, we capture preference heterogeneity assuming a continuous distribution across individuals. Different choice scenarios, based on respondents’ reported trip, were presented to respondents from six European countries: Cyprus, Hungary, Iceland, Montenegro, Slovenia, and the UK. We found that large reservations towards automated vehicles exist in all countries with 70% conventional private car choices, and 30% automated vehicles choices. We found that men, under the age of 60, with a high income who currently use private car, are more likely to be early adopters of automated vehicles. We found significant differences in automated vehicles acceptance in different countries. Individuals from Slovenia and Cyprus show higher automated vehicles acceptance while individuals from wealthier countries, UK, and Iceland, show more reservations towards them. Nontrading mode choice behaviors, value of travel time, and differences in model parameters among the different countries are discussed.

ACS Style

Shelly Etzioni; Jamil Hamadneh; Arnór Elvarsson; Domokos Esztergár-Kiss; Milena Djukanovic; Stelios Neophytou; Jaka Sodnik; Amalia Polydoropoulou; Ioannis Tsouros; Cristina Pronello; Nikolas Thomopoulos; Yoram Shiftan. Modeling Cross-National Differences in Automated Vehicle Acceptance. Sustainability 2020, 12, 9765 .

AMA Style

Shelly Etzioni, Jamil Hamadneh, Arnór Elvarsson, Domokos Esztergár-Kiss, Milena Djukanovic, Stelios Neophytou, Jaka Sodnik, Amalia Polydoropoulou, Ioannis Tsouros, Cristina Pronello, Nikolas Thomopoulos, Yoram Shiftan. Modeling Cross-National Differences in Automated Vehicle Acceptance. Sustainability. 2020; 12 (22):9765.

Chicago/Turabian Style

Shelly Etzioni; Jamil Hamadneh; Arnór Elvarsson; Domokos Esztergár-Kiss; Milena Djukanovic; Stelios Neophytou; Jaka Sodnik; Amalia Polydoropoulou; Ioannis Tsouros; Cristina Pronello; Nikolas Thomopoulos; Yoram Shiftan. 2020. "Modeling Cross-National Differences in Automated Vehicle Acceptance." Sustainability 12, no. 22: 9765.

Conference paper
Published: 05 May 2020 in Inventive Computation and Information Technologies
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Cyber-attacks and cyber-crimes are growing quickly and users are becoming unsafe on the internet. Cyber threats will put users increasingly at risk. For that reason statistical analysis have been done in order to determine how strong passwords are in the area of Montenegro, and to determine if there is a way to crack them by using brute force attack. Brute force attack or attack by “force” is based on cracking the password with all possible combinations, including cracking Wi-Fi routers, social media account, e-mails, hashes, zip or pdf files protected by password, internet protocols (telnet, ftp, http, https, smb.) etc. We will explain brute force attack for cracking passwords based on statistical analysis data in Montenegro. The first reason we will be doing this is to improve security, password strength, and the conscience of the people in Montenegro. The second reason is to help the people in law enforcement who deal with digital forensics, to find digital evidence in cyber incidents in the shortest amount of time.

ACS Style

Milena Djukanovic; Lazar Novicevic; Mihailo Jovanovic. Montenegrin Dictionary Based Brute Force Attack. Inventive Computation and Information Technologies 2020, 530 -536.

AMA Style

Milena Djukanovic, Lazar Novicevic, Mihailo Jovanovic. Montenegrin Dictionary Based Brute Force Attack. Inventive Computation and Information Technologies. 2020; ():530-536.

Chicago/Turabian Style

Milena Djukanovic; Lazar Novicevic; Mihailo Jovanovic. 2020. "Montenegrin Dictionary Based Brute Force Attack." Inventive Computation and Information Technologies , no. : 530-536.

Conference paper
Published: 05 May 2020 in Inventive Computation and Information Technologies
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Additive manufacturing or 3D printing technology enables building objects using a computer-aided design (CAD) model while successively adding material layer by layer. Recently the number of world’s successfully launched startups based on additive 3D printing process is growing. In this paper we present startup launching in Montenegro based on 3D printing while creating sustainable zero-waste fashion accessories supported by a mobile application that will enable customers to create and order custom-made products.

ACS Style

Milena Djukanovic; Luka Radunovic; Petar Vujovic; Aleksandar Konatar. Importance of Additive Manufacturing Technology for Startup Launching: A Case Study. Inventive Computation and Information Technologies 2020, 276 -284.

AMA Style

Milena Djukanovic, Luka Radunovic, Petar Vujovic, Aleksandar Konatar. Importance of Additive Manufacturing Technology for Startup Launching: A Case Study. Inventive Computation and Information Technologies. 2020; ():276-284.

Chicago/Turabian Style

Milena Djukanovic; Luka Radunovic; Petar Vujovic; Aleksandar Konatar. 2020. "Importance of Additive Manufacturing Technology for Startup Launching: A Case Study." Inventive Computation and Information Technologies , no. : 276-284.