Risk Assessment of Linkedin Profiles

Arzum Aydin; Serif Bahtiyar

doi:10.1109/UBMK59864.2023.10286570

Risk Assessment of Linkedin Profiles

Arzum Aydin, Serif Bahtiyar

Department of Computer Engineering

Istanbul Technical University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Fake or fraudulent accounts are a significant problem in social networking that is often addressed by the users of various social networking platforms involving Linkedin. Fraudulent accounts generally try to convince people about their identity that they are authentic. Adversaries use fake profiles or they impersonate a real identity on social networks to obtain more privileges. Therefore, it is critical to understand problems regarding fraudulent profiles. In this paper, we propose new sustainable framework to assess risks about profiles in social networking platforms. The framework is implemented as a web extension and it is analyzed with ITU alumni profiles in Linkedin. The analyses results show that there are different profiles within one community in Linkedin that may be significant threat for social network users.

Original language	English
Title of host publication	UBMK 2023 - Proceedings
Subtitle of host publication	8th International Conference on Computer Science and Engineering
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	29-33
Number of pages	5
ISBN (Electronic)	9798350340815
DOIs	https://doi.org/10.1109/UBMK59864.2023.10286570
Publication status	Published - 2023
Event	8th International Conference on Computer Science and Engineering, UBMK 2023 - Burdur, Turkey Duration: 13 Sept 2023 → 15 Sept 2023

Publication series

Name	UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering

Conference

Conference	8th International Conference on Computer Science and Engineering, UBMK 2023
Country/Territory	Turkey
City	Burdur
Period	13/09/23 → 15/09/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

Linkedin
Risk
security
social network

Access to Document

10.1109/UBMK59864.2023.10286570

Cite this

Aydin, A., & Bahtiyar, S. (2023). Risk Assessment of Linkedin Profiles. In UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering (pp. 29-33). (UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/UBMK59864.2023.10286570

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title = "Risk Assessment of Linkedin Profiles",

abstract = "Fake or fraudulent accounts are a significant problem in social networking that is often addressed by the users of various social networking platforms involving Linkedin. Fraudulent accounts generally try to convince people about their identity that they are authentic. Adversaries use fake profiles or they impersonate a real identity on social networks to obtain more privileges. Therefore, it is critical to understand problems regarding fraudulent profiles. In this paper, we propose new sustainable framework to assess risks about profiles in social networking platforms. The framework is implemented as a web extension and it is analyzed with ITU alumni profiles in Linkedin. The analyses results show that there are different profiles within one community in Linkedin that may be significant threat for social network users.",

keywords = "Linkedin, Risk, security, social network",

author = "Arzum Aydin and Serif Bahtiyar",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 8th International Conference on Computer Science and Engineering, UBMK 2023 ; Conference date: 13-09-2023 Through 15-09-2023",

year = "2023",

doi = "10.1109/UBMK59864.2023.10286570",

language = "English",

series = "UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "UBMK 2023 - Proceedings",

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}

Aydin, A & Bahtiyar, S 2023, Risk Assessment of Linkedin Profiles. in UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering. UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering, Institute of Electrical and Electronics Engineers Inc., pp. 29-33, 8th International Conference on Computer Science and Engineering, UBMK 2023, Burdur, Turkey, 13/09/23. https://doi.org/10.1109/UBMK59864.2023.10286570

Risk Assessment of Linkedin Profiles. / Aydin, Arzum; Bahtiyar, Serif.
UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering. Institute of Electrical and Electronics Engineers Inc., 2023. p. 29-33 (UBMK 2023 - Proceedings: 8th International Conference on Computer Science and Engineering).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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AU - Aydin, Arzum

AU - Bahtiyar, Serif

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N2 - Fake or fraudulent accounts are a significant problem in social networking that is often addressed by the users of various social networking platforms involving Linkedin. Fraudulent accounts generally try to convince people about their identity that they are authentic. Adversaries use fake profiles or they impersonate a real identity on social networks to obtain more privileges. Therefore, it is critical to understand problems regarding fraudulent profiles. In this paper, we propose new sustainable framework to assess risks about profiles in social networking platforms. The framework is implemented as a web extension and it is analyzed with ITU alumni profiles in Linkedin. The analyses results show that there are different profiles within one community in Linkedin that may be significant threat for social network users.

AB - Fake or fraudulent accounts are a significant problem in social networking that is often addressed by the users of various social networking platforms involving Linkedin. Fraudulent accounts generally try to convince people about their identity that they are authentic. Adversaries use fake profiles or they impersonate a real identity on social networks to obtain more privileges. Therefore, it is critical to understand problems regarding fraudulent profiles. In this paper, we propose new sustainable framework to assess risks about profiles in social networking platforms. The framework is implemented as a web extension and it is analyzed with ITU alumni profiles in Linkedin. The analyses results show that there are different profiles within one community in Linkedin that may be significant threat for social network users.

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Risk Assessment of Linkedin Profiles

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