Profilegen: Generation of automatic and realistic artificial profiles

Abigail Paradise; Dvir Cohen; Asaf Shabtai; Rami Puzis

doi:10.1109/ASONAM.2018.8508242

Profilegen: Generation of automatic and realistic artificial profiles

Abigail Paradise, Dvir Cohen, Asaf Shabtai, Rami Puzis

Department of Software and Information Systems Engineering

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

Abstract

One of the most effective approaches for detecting malicious activity in online social networks (OSNs) involves the use of social network honeypots - artificial profiles. Therefore, there is a growing need for the ability to reliably generate realistic artificial honeypot profiles in OSNs. In this research we present 'ProfileGen' - a method for the automated generation of profiles for professional social networks, giving particular attention to producing realistic education and employment records. 'ProfileGen' creates honeypot profiles that are similar to actual data by extrapolating the characteristics and properties of real data items. Evaluation by 70 domain experts confirms the method's ability to generate realistic artificial profiles that are indistinguishable from real profiles, demonstrating that our method can be applied to generate realistic artificial profiles for a wide range of applications.

Original language	English
Title of host publication	Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018
Editors	Andrea Tagarelli, Chandan Reddy, Ulrik Brandes
Publisher	Institute of Electrical and Electronics Engineers
Pages	581-583
Number of pages	3
ISBN (Electronic)	9781538660515
DOIs	https://doi.org/10.1109/ASONAM.2018.8508242
State	Published - 24 Oct 2018
Event	10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018 - Barcelona, Spain Duration: 28 Aug 2018 → 31 Aug 2018

Publication series

Name	Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018

Conference

Conference	10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018
Country/Territory	Spain
City	Barcelona
Period	28/08/18 → 31/08/18

Keywords

Artificial profiles
Social network
Socialbots

ASJC Scopus subject areas

Sociology and Political Science
Communication
Computer Networks and Communications
Information Systems and Management

Access to Document

10.1109/ASONAM.2018.8508242

Cite this

Paradise, A., Cohen, D., Shabtai, A., & Puzis, R. (2018). Profilegen: Generation of automatic and realistic artificial profiles. In A. Tagarelli, C. Reddy, & U. Brandes (Eds.), Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018 (pp. 581-583). Article 8508242 (Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018). Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ASONAM.2018.8508242

Paradise, Abigail ; Cohen, Dvir ; Shabtai, Asaf et al. / Profilegen : Generation of automatic and realistic artificial profiles. Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018. editor / Andrea Tagarelli ; Chandan Reddy ; Ulrik Brandes. Institute of Electrical and Electronics Engineers, 2018. pp. 581-583 (Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018).

@inproceedings{b6255d92ba1a4b5cb0e16f695d105078,

title = "Profilegen: Generation of automatic and realistic artificial profiles",

abstract = "One of the most effective approaches for detecting malicious activity in online social networks (OSNs) involves the use of social network honeypots - artificial profiles. Therefore, there is a growing need for the ability to reliably generate realistic artificial honeypot profiles in OSNs. In this research we present 'ProfileGen' - a method for the automated generation of profiles for professional social networks, giving particular attention to producing realistic education and employment records. 'ProfileGen' creates honeypot profiles that are similar to actual data by extrapolating the characteristics and properties of real data items. Evaluation by 70 domain experts confirms the method's ability to generate realistic artificial profiles that are indistinguishable from real profiles, demonstrating that our method can be applied to generate realistic artificial profiles for a wide range of applications.",

keywords = "Artificial profiles, Social network, Socialbots",

author = "Abigail Paradise and Dvir Cohen and Asaf Shabtai and Rami Puzis",

note = "Funding Information: This research was supported by the Israeli Ministry of Defense as a part of the Social Network Digestion project. Publisher Copyright: {\textcopyright} 2018 IEEE.; 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018 ; Conference date: 28-08-2018 Through 31-08-2018",

year = "2018",

month = oct,

day = "24",

doi = "10.1109/ASONAM.2018.8508242",

language = "English",

series = "Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018",

publisher = "Institute of Electrical and Electronics Engineers",

pages = "581--583",

editor = "Andrea Tagarelli and Chandan Reddy and Ulrik Brandes",

booktitle = "Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018",

address = "United States",

}

Paradise, A, Cohen, D, Shabtai, A & Puzis, R 2018, Profilegen: Generation of automatic and realistic artificial profiles. in A Tagarelli, C Reddy & U Brandes (eds), Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018., 8508242, Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, Institute of Electrical and Electronics Engineers, pp. 581-583, 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018, Barcelona, Spain, 28/08/18. https://doi.org/10.1109/ASONAM.2018.8508242

Profilegen: Generation of automatic and realistic artificial profiles. / Paradise, Abigail; Cohen, Dvir; Shabtai, Asaf et al.
Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018. ed. / Andrea Tagarelli; Chandan Reddy; Ulrik Brandes. Institute of Electrical and Electronics Engineers, 2018. p. 581-583 8508242 (Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018).

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

TY - GEN

T1 - Profilegen

T2 - 10th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018

AU - Paradise, Abigail

AU - Cohen, Dvir

AU - Shabtai, Asaf

AU - Puzis, Rami

PY - 2018/10/24

Y1 - 2018/10/24

N2 - One of the most effective approaches for detecting malicious activity in online social networks (OSNs) involves the use of social network honeypots - artificial profiles. Therefore, there is a growing need for the ability to reliably generate realistic artificial honeypot profiles in OSNs. In this research we present 'ProfileGen' - a method for the automated generation of profiles for professional social networks, giving particular attention to producing realistic education and employment records. 'ProfileGen' creates honeypot profiles that are similar to actual data by extrapolating the characteristics and properties of real data items. Evaluation by 70 domain experts confirms the method's ability to generate realistic artificial profiles that are indistinguishable from real profiles, demonstrating that our method can be applied to generate realistic artificial profiles for a wide range of applications.

AB - One of the most effective approaches for detecting malicious activity in online social networks (OSNs) involves the use of social network honeypots - artificial profiles. Therefore, there is a growing need for the ability to reliably generate realistic artificial honeypot profiles in OSNs. In this research we present 'ProfileGen' - a method for the automated generation of profiles for professional social networks, giving particular attention to producing realistic education and employment records. 'ProfileGen' creates honeypot profiles that are similar to actual data by extrapolating the characteristics and properties of real data items. Evaluation by 70 domain experts confirms the method's ability to generate realistic artificial profiles that are indistinguishable from real profiles, demonstrating that our method can be applied to generate realistic artificial profiles for a wide range of applications.

KW - Artificial profiles

KW - Social network

KW - Socialbots

UR - http://www.scopus.com/inward/record.url?scp=85057342616&partnerID=8YFLogxK

U2 - 10.1109/ASONAM.2018.8508242

DO - 10.1109/ASONAM.2018.8508242

M3 - Conference contribution

AN - SCOPUS:85057342616

T3 - Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018

SP - 581

EP - 583

BT - Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018

A2 - Tagarelli, Andrea

A2 - Reddy, Chandan

A2 - Brandes, Ulrik

PB - Institute of Electrical and Electronics Engineers

Y2 - 28 August 2018 through 31 August 2018

ER -

Paradise A, Cohen D, Shabtai A , Puzis R. Profilegen: Generation of automatic and realistic artificial profiles. In Tagarelli A, Reddy C, Brandes U, editors, Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018. Institute of Electrical and Electronics Engineers. 2018. p. 581-583. 8508242. (Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2018). doi: 10.1109/ASONAM.2018.8508242

Profilegen: Generation of automatic and realistic artificial profiles

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this