RT info:eu-repo/semantics/conferenceObject
T1 Fuzzy logic system for identity theft detection in social networks
A1 Caballero Gil, Pino Teresa
A1 Concepción Sánchez, José Ángel
A1 Santos González, José Iván
A2 Ingeniería Informática y de Sistemas
A2 CryptULL: Grupo de Criptología
K1 Identity Theft
K1 Security
K1 Fuzzy Logic
K1 Text-Mining
K1 Social Network
AB Social networks are very popular in today’s world and have great importance for the interconnection between people. That is why the theft of access credentials to enter them is the order of the day. Many users are attacked by cybercriminals in various ways to seize their users and passwords, as both are a gateway to get information from the users, claim ransoms for their accounts or perform spamming techniques such as phishing to their contacts. In order to detect identity theft, this paper proposes the use of a text-mining and fuzzy logic-based system to decide if a person is being victimized by this problem. To do so, the natural language of each user is taken into account, considering values such as the total frequency of appearance of words and expressions they do not frequently use. Other factors such as the location from which users log on or the number of messages sent in a short period of time are also taken into account to make the final decision.
YR 2028
FD 2028
LK http://riull.ull.es/xmlui/handle/915/40396
UL http://riull.ull.es/xmlui/handle/915/40396
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 22-dic-2024