dc.contributor.author | Mažeika, Dalius | |
dc.contributor.author | Mikejan, Jevgenij | |
dc.date.accessioned | 2023-09-18T20:20:10Z | |
dc.date.available | 2023-09-18T20:20:10Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/148991 | |
dc.description.abstract | The vulnerability of the social network users becomes a social networking problem. A single vulnerable user might place all friends at risk therefore, it is important to know how the security of the social network users can be improved. In this research, we aim to address issues related to user vulnerability to a phishing attack. Short text messages of the social network site users were gathered, cleaned and analyzed. Moreover, phishing messages were build using social engineering methods and sent to the users. K-means and Mini Batch K-means clustering algorithm were evaluated for the user clustering based on their text messages. A special tool was developed to automate the users clustering process and a phishing attack. Analysis of users responses to the phishing messages built using different datasets and social engineering methods was performed, and corresponding conclusions about user vulnerability were made. | eng |
dc.format | PDF | |
dc.format.extent | p. 219-234 | |
dc.format.medium | tekstas / txt | |
dc.language.iso | eng | |
dc.relation.ispartofseries | Studies in Computational Intelligence vol. 869 1860-949X 1860-9503 | |
dc.relation.isreferencedby | Scopus | |
dc.relation.isreferencedby | SpringerLink | |
dc.relation.isreferencedby | EI Compendex Plus | |
dc.source.uri | https://doi.org/10.1007/978-3-030-39250-5_12 | |
dc.source.uri | https://link.springer.com/chapter/10.1007%2F978-3-030-39250-5_12#citeas | |
dc.title | Investigation of user vulnerability in social networking site | |
dc.type | Monografijos dalis / A part of monograph | |
dcterms.references | 16 | |
dc.type.pubtype | Y1 - Monografijos dalis / A part of monograph | |
dc.contributor.institution | Vilniaus Gedimino technikos universitetas | |
dc.contributor.faculty | Fundamentinių mokslų fakultetas / Faculty of Fundamental Sciences | |
dc.subject.researchfield | T 007 - Informatikos inžinerija / Informatics engineering | |
dc.subject.vgtuprioritizedfields | IK0303 - Dirbtinio intelekto ir sprendimų priėmimo sistemos / Artificial intelligence and decision support systems | |
dc.subject.ltspecializations | L106 - Transportas, logistika ir informacinės ir ryšių technologijos (IRT) / Transport, logistic and information and communication technologies | |
dc.subject.en | user vulnerability | |
dc.subject.en | phishing attack | |
dc.subject.en | social network | |
dcterms.sourcetitle | Data science: new issues, challenges and applications | |
dc.publisher.name | Springer | |
dc.publisher.city | Cham | |
dc.identifier.doi | 10.1007/978-3-030-39250-5_12 | |
dc.identifier.elaba | 53015165 | |