TY - GEN
T1 - Detection of Account Cloning in Online Social Networks
AU - Punkamol, Dechana
AU - Marukatat, Rangsipan
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/3
Y1 - 2020/3
N2 - This research proposes a framework to detect account cloning in online social networks. The main concept is to analyze user profiles, friend and follower networks, and user posting behaviors. The framework consists of 3 parts: Twitter Crawler, Attribute Extractor, and Cloning Detector. Twitter was used as a case study. Experimental results suggested that it was not easy to completely clone profiles and friend/follower networks of the victims. And even the attackers managed to do so or somehow fool other users, posting behaviors and writing styles could help distinguish between fake and authentic (i.e. done by the victims) posts. The average accuracy of classifying whether the posts were fake or authentic was 80%. Decision tree was found to yield the best classification performance.
AB - This research proposes a framework to detect account cloning in online social networks. The main concept is to analyze user profiles, friend and follower networks, and user posting behaviors. The framework consists of 3 parts: Twitter Crawler, Attribute Extractor, and Cloning Detector. Twitter was used as a case study. Experimental results suggested that it was not easy to completely clone profiles and friend/follower networks of the victims. And even the attackers managed to do so or somehow fool other users, posting behaviors and writing styles could help distinguish between fake and authentic (i.e. done by the victims) posts. The average accuracy of classifying whether the posts were fake or authentic was 80%. Decision tree was found to yield the best classification performance.
KW - Twitter.
KW - account cloning attack
KW - detection
KW - online social network
UR - https://www.scopus.com/pages/publications/85085045941
U2 - 10.1109/iEECON48109.2020.229558
DO - 10.1109/iEECON48109.2020.229558
M3 - Conference contribution
AN - SCOPUS:85085045941
T3 - 2020 8th International Electrical Engineering Congress, iEECON 2020
BT - 2020 8th International Electrical Engineering Congress, iEECON 2020
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 8th International Electrical Engineering Congress, iEECON 2020
Y2 - 4 March 2020 through 6 March 2020
ER -