摘要
By the year 2026, it is estimated that the number of smartphone users in Mexico will be approximately 118.1 million. Each smartphone has the functionality of sending and receiving SMS (Short Message Service) messages, which pose a significant threat to all users, as it makes any device vulnerable to a malware attack. In particular, worm-type malware takes advantage of this means of communication in order to spread. Studying the dynamics of malware propagation can help understand and prevent massive contagion between mobile devices. In this work, a model based on Network Automata and compartmental epidemiological models is presented, aiming to simulate, analyze and study the spread of worm-like malware through sending SMS on smartphones.
By the year 2026, it is estimated that the number of smartphone users in Mexico will be approximately 118.1 million. Each smartphone has the functionality of sending and receiving SMS (Short Message Service) messages, which pose a significant threat to all users, as it makes any device vulnerable to a malware attack. In particular, worm-type malware takes advantage of this means of communication in order to spread. Studying the dynamics of malware propagation can help understand and prevent massive contagion between mobile devices. In this work, a model based on Network Automata and compartmental epidemiological models is presented, aiming to simulate, analyze and study the spread of worm-like malware through sending SMS on smartphones.
作者
Erick Iván Medina-Salas
Ana Lilia Laureano-Cruces
Ma. Elena Lárraga-Ramírez
Erick Iván Medina-Salas;Ana Lilia Laureano-Cruces;Ma. Elena Lárraga-Ramírez(Posgrado en Ciencia e Ingeniería de la Computación, UNAM, México City, México;Departamento de Sistemas, UAM-A, México City, México;Laboratoire Informatique d’Avignon, Avignon, France;Instituto de Ingeniería, UNAM, México City, México)
