A New Model for Spreading Malware over SMS Using Network Automata  

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)

机构地区：[1]Posgrado en Ciencia e Ingeniería de la Computación, UNAM, México City, México [2]Departamento de Sistemas, UAM-A, México City, México [3]Laboratoire Informatique d’Avignon, Avignon, France [4]Instituto de Ingeniería, UNAM, México City, México

出　　处：《Communications and Network》2023年第4期120-143,共24页通讯与网络（英文）

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.

关 键 词：Cellular Automaton Malware Spread Complex Systems Network Automaton 

分 类 号：TN9[电子电信—信息与通信工程]