TY  - CHAP
AU  - Holló, Csaba
ED  - Szlávi, Péter
ED  - Zsakó, László
TI  - A túlzott digitális eszközhasználat fontosabb jellemzői és oktatási vonatkozásai
T2  - iNFODIDACT'2023
PB  - Webdidaktika Alapítvány
CY  - Budapest
SN  - 9786158060875
PY  - 2024
SP  - 45
EP  - 63
PG  - 19
UR  - https://m2.mtmt.hu/api/publication/34863410
ID  - 34863410
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Baniata, Hamza
AU  - Kertész, Attila
TI  - Partial Pre-Image Attack on Proof-of-Work based Blockchains
JF  - BLOCKCHAIN: RESEARCH AND APPLICATIONS
J2  - BLOCKCHAIN
VL  - X
PY  - 2024
SP  - 100194
SN  - 2096-7209
DO  - 10.1016/j.bcra.2024.100194
UR  - https://m2.mtmt.hu/api/publication/34847971
ID  - 34847971
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Kiss, T
AU  - Ullah, A
AU  - Terstyanszky, G
AU  - Kao, O
AU  - Becker, S
AU  - Verginadis, Y
AU  - Michalas, A
AU  - Stankovski, V
AU  - Kertész, Attila
AU  - Ricci, E
AU  - Altmann, J
AU  - Egger, B
AU  - Tusa, F
AU  - Kovács, József
AU  - Lovas, Róbert
ED  - Barolli, L
TI  - Swarmchestrate: Towards a Fully Decentralised Framework for Orchestrating Applications in the Cloud-to-Edge Continuum
T2  - Advanced Information Networking and Applications
PB  - Springer Nature Switzerland
CY  - Cham
SN  - 9783031579318
T3  - Lecture Notes on Data Engineering and Communications Technologies, ISSN 2367-4512 ; 203.
PY  - 2024
SP  - 89
EP  - 100
PG  - 12
DO  - 10.1007/978-3-031-57931-8_9
UR  - https://m2.mtmt.hu/api/publication/34795721
ID  - 34795721
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Wilson, Valdez
AU  - Baniata, Hamza
AU  - Márkus, András
AU  - Kertész, Attila
ED  - Zeinalipour, Demetris
ED  - Blanco Heras, Dora
ED  - Pallis, George
ED  - Herodotou, Herodotos
ED  - Trihinas, Demetris
ED  - Balouek, Daniel
ED  - Diehl, Patrick
ED  - Cojean, Terry
ED  - Fürlinger, Karl
ED  - Kirkeby, Maja Hanne
ED  - Nardellli, Matteo
ED  - Di Sanzo, Pierangelo
TI  - Towards a Simulation as a Service Platform for the Cloud-to-Things Continuum
T2  - Euro-Par 2023: Parallel Processing Workshops
PB  - Springer Nature Switzerland
CY  - Cham
SN  - 9783031488030
T3  - Lecture Notes in Computer Science, ISSN 0302-9743 ; 14352.
PY  - 2024
SP  - 65
EP  - 75
PG  - 11
DO  - 10.1007/978-3-031-48803-0_6
UR  - https://m2.mtmt.hu/api/publication/34795664
ID  - 34795664
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Ring, Orsolya
AU  - Szabó, Martina Katalin
AU  - Guba, Csenge
AU  - Váradi, Bendegúz
AU  - Üveges, István
TI  - "Approaches to sentiment analysis of Hungarian political news at the sentence level"
JF  - LANGUAGE RESOURCES AND EVALUATION
J2  - LANG RESOUR EVAL
PY  - 2024
PG  - 29
SN  - 1574-020X
DO  - 10.1007/s10579-023-09717-5
UR  - https://m2.mtmt.hu/api/publication/34753193
ID  - 34753193
AB  - Automated sentiment analysis of textual data is one of the central and most challenging tasks in political communication studies. However, the toolkits available are primarily for English texts and require contextual adaptation to produce valid results—especially concerning morphologically rich languages such as Hungarian. This study introduces (1) a new sentiment and emotion annotation framework that uses inductive approaches to identify emotions in the corpus and aggregate these emotions into positive, negative, and mixed sentiment categories, (2) a manually annotated sentiment data set with 5700 political news sentences, (3) a new Hungarian sentiment dictionary for political text analysis created via word embeddings, whose performance was compared with other available sentiment dictionaries. (4) Because of the limitations of sentiment analysis using dictionaries we have also applied various machine learning algorithms to analyze our dataset, (5) Last but not least to move towards state-of-the-art approaches, we have fine-tuned the Hungarian BERT-base model for sentiment analysis. Meanwhile, we have also tested how different pre-processing steps could affect the performance of machine-learning algorithms in the case of Hungarian texts.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Aladics, Tamás
AU  - Hegedűs, Péter
AU  - Ferenc, Rudolf
TI  - A Comparative Study of Commit Representations for JIT Vulnerability Prediction
JF  - COMPUTERS
J2  - COMPUTERS
VL  - 13
PY  - 2024
IS  - 1
SP  - 22
SN  - 2073-431X
DO  - 10.3390/computers13010022
UR  - https://m2.mtmt.hu/api/publication/34499921
ID  - 34499921
AB  - With the evolution of software systems, their size and complexity are rising rapidly. Identifying vulnerabilities as early as possible is crucial for ensuring high software quality and security. Just-in-time (JIT) vulnerability prediction, which aims to find vulnerabilities at the time of commit, has increasingly become a focus of attention. In our work, we present a comparative study to provide insights into the current state of JIT vulnerability prediction by examining three candidate models: CC2Vec, DeepJIT, and Code Change Tree. These unique approaches aptly represent the various techniques used in the field, allowing us to offer a thorough description of the current limitations and strengths of JIT vulnerability prediction. Our focus was on the predictive power of the models, their usability in terms of false positive (FP) rates, and the granularity of the source code analysis they are capable of handling. For training and evaluation, we used two recently published datasets containing vulnerability-inducing commits: ProjectKB and Defectors. Our results highlight the trade-offs between predictive accuracy and operational flexibility and also provide guidance on the use of ML-based automation for developers, especially considering false positive rates in commit-based vulnerability prediction. These findings can serve as crucial insights for future research and practical applications in software security.
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Sabetta, Antonino
AU  - Ponta, Serena Elisa
AU  - Lozoya, Rocio Cabrera
AU  - Bezzi, Michele
AU  - Sacchetti, Tommaso
AU  - Greco, Matteo
AU  - Balogh, Gergő
AU  - Hegedűs, Péter
AU  - Ferenc, Rudolf
AU  - Paramitha, Ranindya
AU  - Pashchenko, Ivan
AU  - Papotti, Aurora
AU  - Milánkovich, Ákos
AU  - Massacci, Fabio
TI  - Known Vulnerabilities of Open Source Projects: Where Are the Fixes?
JF  - IEEE SECURITY & PRIVACY
J2  - IEEE SECUR PRIV
VL  - 22
PY  - 2024
IS  - 2
SP  - 49
EP  - 59
PG  - 11
SN  - 1540-7993
DO  - 10.1109/MSEC.2023.3343836
UR  - https://m2.mtmt.hu/api/publication/34499877
ID  - 34499877
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Péter, Róbert
AU  - Szántó, Zsolt
AU  - Biacsi, Zoltán
AU  - Berend, Gábor
AU  - Bilicki, Vilmos
TI  - Multilingual Analysis and Visualization of Bibliographic Metadata and Texts with the AVOBMAT Research Tool
JF  - Journal of Open Humanities Data
VL  - 10
PY  - 2024
PG  - 10
SN  - 2059-481X
DO  - 10.5334/johd.175
UR  - https://m2.mtmt.hu/api/publication/34431216
ID  - 34431216
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Alexin, Zoltán
ED  - Répás, József
TI  - Milyen támadások fenyegetik az egészségügyi adatok bizalmasságát?
T2  - I. Alverad-Bánki Nemzetközi Kiberbiztonsági Konferencia
PB  - Óbudai Egyetem
CY  - Budapest
SN  - 9789634493440
PY  - 2023
SP  - 56
EP  - 56
PG  - 1
UR  - https://m2.mtmt.hu/api/publication/34532466
ID  - 34532466
LA  - Hungarian
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Alexin, Zoltán
ED  - Répás, József
TI  - What sorts of attacks are threatening the confidentiality of medical data?
T2  - I. Alverad-Bánki Nemzetközi Kiberbiztonsági Konferencia
PB  - Óbudai Egyetem
CY  - Budapest
SN  - 9789634493440
PY  - 2023
SP  - 57
EP  - 57
PG  - 1
UR  - https://m2.mtmt.hu/api/publication/34532434
ID  - 34532434
LA  - English
DB  - MTMT
ER  -