TY - JOUR AU - Mike, Nimród AU - Krén, Enikő AU - Kecskeméti, Tamás TI - Farkasbiztos téglaház? A KKV-k információbiztonsága Magyarországon JF - VEZETÉSTUDOMÁNY J2 - VEZETÉSTUDOMÁNY VL - 54 PY - 2023 IS - 9 SP - 44 EP - 57 PG - 14 SN - 0133-0179 DO - 10.14267/VEZTUD.2023.09.04 UR - https://m2.mtmt.hu/api/publication/34142535 ID - 34142535 AB - Az informatikai és információbiztonság olyan fontos a KKV-k életében, mint a sivatagban az oázis. A vállalatok versenyképességéhez nagyban hozzájárul a biztonság szintje, amely terület erősen alulreprezentált a KKV-szektorban. A tanulmány arra a kérdésre keresi a választ, miszerint valóban megfigyelhető-e, hogy a sürgetett digitalizáció negatív hatással van az információbiztonsági szintre nézve a KKV-k életében Magyarországon. Az elemzés főként az e-kereskedelemben aktívan részt vevő cégekre terjed ki. Magyarországon és az Európai Unióban összehasonlítva kimutathatók az információbiztonsággal és adatvédelemmel kapcsolatos trendek, amelyekből látható a területet érintő elmaradottság. A tanulmány a Digiméter 2020, 2021 és 2022-es kvantitatív kutatásának eredményét mutatja be, emellett az Európai Unió által biztosított DESI-index (Digital Economy and Society Index) és NCSI (National Cybersecurity Index) nyilvános adatait dolgozza fel. A kutatás várható eredménye igazolja, hogy Magyarországon jól látható az információbiztonság kiforratlansága. LA - Hungarian DB - MTMT ER - TY - THES AU - Mike, Nimród TI - European Privacy by Design PY - 2023 SP - 278 DO - 10.14267/phd.2023003 UR - https://m2.mtmt.hu/api/publication/33720935 ID - 33720935 AB - Three competing forces are shaping the concept of European Privacy by Design (PbD): laws and regulations, business goals and architecture designs. These forces carry their own influence in terms of ethics, economics, and technology. In this research we undertook the journey to understand the concept of European PbD. We examined its nature, application, and enforcement. We concluded that the European PbD is under-researched in two aspects: at organizational level (compared to the individual level); and mainly in the way it is enforced by authorities. We had high hopes especially with regards to the latter, and eager to bring significant scientific contribution on this field. We were interested to learn if data protection authorities are having such impacts looking at European PbD, that can pioneer new approaches to privacy preservation. This is why we elaborated on possible ways to measure their activity, in a manner that both legal and non-legal experts can understand our work. We promised a response to the research question can the enforcement of European PbD be measured and if yes, what are possible ways to do so? We conducted data analytics on quantitative and qualitative data to answer this question the best way possible. Our response is a moderate yes, the enforcement of PbD can be measured. Although, at this point, we need to settle with only good-enough ways of measure and not dwell into choosing the most optimal or best ways. One reason for this is that enforcement of PbD cases are highly customized and specific to their own circumstances. We have shown this while creating models to predict the amount of administrative fines for infringement of GDPR. Clustering these cases was a daunting task. Second reason for not delivering what could be the best way of measure is lack of data availability in Europe. This problem has its roots in the philosophical stance that the European legislator is taking on the topic of data collection within the EU. Lawmakers in Europe certainly dislike programs that collect gigantic amounts of personal data from EU citizens. Third reason is a causal link between the inconsistent approach between the data protection authorities’ practices. This is due to the different levels of competencies, reporting structures, personnel numbers, and experience in the work of data protection authorities. Looking beyond the above limitations, there are certainly ways to measure the enforcement of European PbD. Our measurements helped us formulate the following statements: a. The European PbD operates in ‘data saver’ mode: we argue that analogous to the data saving mode on mobile phones, where most applications and services get background data only via Wi-Fi connection, in Europe data collection and data processing is kept to minimal. Therefore, we argue that European PbD is in essence about data minimization. Our conviction that this concept is more oriented towards data security have been partially refuted. b. The European PbD is platform independent: we elaborated in the thesis on various infrastructures and convergent technologies that found compatibility with the PbD principles. We consider that the indeed the concept is evolutionary and technology –neutral. c. The European PbD is a tool obligation: we argue that the authorities are looking at PbD as a tool utilization obligation. In a simple language, companies should first perform a privacy impact assessment in order to find out which tools are supporting their data processing activities and then implement these, as mandated PbD. d. The European PbD is highly territorial: we reached the conclusion that enforcement of PbD is highly dependent on geographical indicators (i.e. countries and counties). The different level of privacy protection cultures are still present in Europe. On a particular level, what is commonly true across all countries is that European PbD mandates strong EU data sovereignty. LA - English DB - MTMT ER - TY - CHAP AU - Mike, Nimród AU - Krén, E. AU - Kecskeméti, T. ED - Cisic, Dragan ED - Vrcek, Neven ED - Koricic, Marko ED - Gradisnik, Vera ED - Skala, Karolj ED - Car, Zeljka ED - Cicin-Sain, Marina ED - Babic, Snjezana ED - Sruk, Vlado ED - Skvorc, Dejan ED - Jovic, Alan ED - Gros, Stjepan ED - Vrdoljak, Boris ED - Tijan, Edvard ED - Katulic, Tihomir ED - Petrovic, Juraj ED - Galinac, Grbac Tihana ED - Bozicevic, Lovro TI - Information Security among SMEs in Hungary - An Overview T2 - 2023 46th MIPRO ICT and Electronics Convention (MIPRO) PB - Croatian Society for Information and Communication Technology Electronics and Microelectronics (MIPRO) CY - Rijeka SN - 9789532331042 T3 - Proceedings of the International Convention MIPRO, ISSN 2623-8764 PY - 2023 SP - 1521 EP - 1525 PG - 5 DO - 10.23919/MIPRO57284.2023.10159886 UR - https://m2.mtmt.hu/api/publication/34043921 ID - 34043921 LA - English DB - MTMT ER - TY - JOUR AU - Mike, Nimród TI - Exploring the field of privacy-engineering JF - INFOKOMMUNIKÁCIÓ ÉS JOG J2 - INFOKOMMUNIKÁCIÓ JOG VL - 18 PY - 2022 IS - 77 SP - 33 EP - 39 PG - 8 SN - 1786-0776 UR - https://m2.mtmt.hu/api/publication/33543740 ID - 33543740 LA - English DB - MTMT ER - TY - JOUR AU - Mike, Nimród TI - Data Protection Has Entered the Chat. An Analysis of GDPR Fines TS - An Analysis of GDPR Fines JF - MASARYK UNIVERSITY JOURNAL OF LAW AND TECHNOLOGY J2 - MASARYK UNIV J LAW TECHN VL - 16 PY - 2022 IS - 2 SP - 163 EP - 213 PG - 51 SN - 1802-5943 DO - 10.5817/MUJLT2022-2-3 UR - https://m2.mtmt.hu/api/publication/32083352 ID - 32083352 LA - English DB - MTMT ER - TY - CHAP AU - Mike, Nimród ED - Vrcek, N. ED - Koricic, M. ED - Gradisnik, V. ED - Skala, K. ED - Car, Z. ED - Cicin-Sain, M. ED - Babic, S. ED - Sruk, V. ED - Skvorc, D. ED - Jovic, A. ED - Gros, S. ED - Vrdoljak, B. ED - Mauher, M. ED - Tijan, E. ED - Katulic, T. ED - Petrovic, J. ED - Grbac, T.G. ED - Kusen, B. TI - Observations on the regulatory effectiveness of Article 25 GDPR T2 - 2022 45th Jubilee International Convention on Information, Communication and Electronic Technology (MIPRO), May 23-27, 2022, Opatija, Croatia PB - Croatian Society for Information and Communication Technology Electronics and Microelectronics (MIPRO) CY - Rijeka SN - 9789532331035 T3 - Proceedings of the International Convention MIPRO, ISSN 2623-8764 PY - 2022 SP - 1240 EP - 1244 PG - 5 DO - 10.23919/MIPRO55190.2022.9803492 UR - https://m2.mtmt.hu/api/publication/33025628 ID - 33025628 LA - English DB - MTMT ER - TY - JOUR AU - Mike, Nimród TI - A Case Study Discovering the Potential for Algorithmic Decision Making on Setting GDPR Fines JF - ACTA UNIVERSITATIS SAPIENTIAE LEGAL STUDIES J2 - ACTA UNIV SAP LEGAL STUD VL - 10 PY - 2021 IS - 2 SP - 215 EP - 230 PG - 15 SN - 2285-6293 DO - 10.47745/AUSLEG.2021.10.2.04 UR - https://m2.mtmt.hu/api/publication/33543753 ID - 33543753 LA - English DB - MTMT ER - TY - CHAP AU - Mike, Nimród ED - Szakács, Andrea ED - Hlinka, Tibor ED - Mydliarová, Magdaléna ED - Senková, Silvia ED - Durec, Kahounová Michaela TI - Privacy by Research and Design. From Literature to Application TS - From Literature to Application T2 - Zborník príspevkov z online medzinárodnej vedeckej konferencie doktorandov a mladých vedeckých pracovníkov : Míľniky Práva V Stredoeurópskom Priestore [Collection of Papers from online International Academic Conference of PhD. Students and Young Researchers : Milestones of Law in Central Europe] PB - Univerzita Komenského v Bratislave, Právnická fakulta CY - Pozsony SN - 9788071606185 PY - 2021 SP - 368 EP - 376 PG - 9 UR - https://m2.mtmt.hu/api/publication/32546823 ID - 32546823 LA - English DB - MTMT ER - TY - GEN AU - Mike, Nimród TI - Privacy by research and design. From literature to application. PY - 2021 UR - https://m2.mtmt.hu/api/publication/32083364 ID - 32083364 LA - English DB - MTMT ER - TY - CHAP AU - Mike, Nimród ED - Szakács, Andrea ED - Hlinka, Tibor TI - Privacy Compliant Cloud Computing in ERP-solutions T2 - Bratislava Legal Forum 2020 [Bratislavské Právnické Fórum 2020] PB - Univerzita Komenského v Bratislave, Právnická fakulta CY - Bratislava SN - 9788071605676 PY - 2020 SP - 15 EP - 23 PG - 9 UR - https://m2.mtmt.hu/api/publication/32083347 ID - 32083347 LA - English DB - MTMT ER - TY - GEN AU - Mike, Nimród TI - Penalty prediction with data mining PY - 2020 UR - https://m2.mtmt.hu/api/publication/31676259 ID - 31676259 LA - English DB - MTMT ER - TY - GEN AU - Mike, Nimród TI - GDPR infringement: how much you pay? PY - 2020 UR - https://m2.mtmt.hu/api/publication/31676254 ID - 31676254 AB - Controllers, processors, joint-controllers and sub-processors: they are all liable. Up to date these participants have managed to generate a fund of €470 mill. from 240 issued fines. With the help of multivariate statistical methods and machine learning, researchers should be able to scan for correlations between cases and features – if any. This is a promising field to understand the behavior of various data protection authorities (DPAs) across EU. Figures show that certain DPAs are more active than others when it comes to number of fines issued, whereas some DPAs are aiming for less numbered, but greater monetary penalties. This paper shall focus on establishing a prediction algorithm using R programming language. The scope is to study the determining factors for fines issued under various articles of the General Data Protection Regulation (GDPR) and to construct a model, which simply predicts the amount of future fines. To this extent, as the first step data must be collected, structured, cleaned and prepared for analysis. This is a crucial step for the analysis. The next phase should include variable determinations and the construction of regression models. Last, but not least, we will test the accuracy of the models and conclude which one has the best prediction rate. The applicability of the results is still debatable due to the primal stage of the prediction model and future work points into the direction of defining a unified variable catalogue to get most accurate results. LA - English DB - MTMT ER - TY - GEN AU - Mike, Nimród TI - The predicted cost of ignorance PY - 2020 UR - https://m2.mtmt.hu/api/publication/31676252 ID - 31676252 AB - Controllers, processors, joint-controllers and sub-processors: they are all liable. Up to date these participants have managed to generate a fund of €470 mill. from 240 issued fines. With the help of multivariate statistical methods and machine learning, researchers should be able to scan for correlations between cases and features – if any. This is a promising field to understand the behavior of various data protection authorities (DPAs) across EU. Figures show that certain DPAs are more active than others when it comes to number of fines issued, whereas some DPAs are aiming for less numbered, but greater monetary penalties. This paper shall focus on establishing a prediction algorithm using R programming language. The scope is to study the determining factors for fines issued under various articles of the General Data Protection Regulation (GDPR) and to construct a model, which simply predicts the amount of future fines. To this extent, as the first step data must be collected, structured, cleaned and prepared for analysis. This is a crucial step for the analysis. The next phase should include variable determinations and the construction of regression models. Last, but not least, we will test the accuracy of the models and conclude which one has the best prediction rate. LA - English DB - MTMT ER - TY - JOUR AU - Mike, Nimród TI - Security or Privacy?. Shuffling the Puzzle of Blockchain Compatibility with the EU-GDPR TS - Shuffling the Puzzle of Blockchain Compatibility with the EU-GDPR JF - INFOKOMMUNIKÁCIÓ ÉS JOG J2 - INFOKOMMUNIKÁCIÓ JOG VL - 16 PY - 2019 IS - 72 SP - 34 EP - 38 PG - 5 SN - 1786-0776 UR - https://m2.mtmt.hu/api/publication/33543737 ID - 33543737 LA - English DB - MTMT ER - TY - JOUR AU - Mike, Nimród TI - Jönnek a pomogácsok!. A GDPR, mint az online zaklatás egyik új ellenszere TS - A GDPR, mint az online zaklatás egyik új ellenszere JF - ARSBONI J2 - ARSBONI VL - 2019 PY - 2019 SN - 2064-4655 UR - https://m2.mtmt.hu/api/publication/30676035 ID - 30676035 LA - Hungarian DB - MTMT ER - TY - GEN AU - Mike, Nimród TI - "Virtuality Awaits" or Digitizing the Role of Counselling in the Modern Era PY - 2019 UR - https://m2.mtmt.hu/api/publication/30673455 ID - 30673455 LA - English DB - MTMT ER - TY - GEN AU - Mike, Nimród TI - Less data is more information. A perspective of anonymization TS - A perspective of anonymization PY - 2018 UR - https://m2.mtmt.hu/api/publication/30673442 ID - 30673442 LA - English DB - MTMT ER - TY - GEN AU - Mike, Nimród TI - Cyberbulling. crime a rough game? TS - crime a rough game? PY - 2017 UR - https://m2.mtmt.hu/api/publication/30673375 ID - 30673375 LA - English DB - MTMT ER - TY - CHAP AU - Mike, Nimród ED - Pásztorné, Erdős Éva ED - Varga, Zoltán TI - Online zaklatás. bűntény vagy durva játék? TS - bűntény vagy durva játék? T2 - XXXIII. Országos Tudományos Diákköri Konferencia PB - Miskolci Egyetem, Állam- és Jogtudományi Kar CY - Miskolc-Egyetemváros SN - 9789633581315 PY - 2017 SP - 117 UR - https://m2.mtmt.hu/api/publication/30673242 ID - 30673242 LA - Hungarian DB - MTMT ER - TY - CHAP AU - Mike, Nimród ED - Farkas, Ákos László ED - Erdős, Éva ED - Varga, Zoltán TI - Online zaklatás. bűntény vagy durva játék? TS - bűntény vagy durva játék? T2 - Etüdök jogtudományra PB - Miskolci Egyetem, Állam- és Jogtudományi Kar CY - Miskolc SN - 9789633581421 PY - 2017 SP - 194 EP - 199 PG - 6 UR - https://m2.mtmt.hu/api/publication/30673212 ID - 30673212 LA - Hungarian DB - MTMT ER -