Modeling the Spread of Biologically-Inspired Internet Worms

摘要: Infections by malicious software, such as Internet worms, spreading on computer networks can have devastating consequences, resulting in loss of information, time, and money. To better understand how these worms spread, thus to more effectively limit future infections, we apply the household model from epidemiology simulate proliferation adaptive non-adaptive preference-scanning which take advantage biologically-inspired strategies. From scans actual distribution Web servers Internet, find that vulnerable machines seem be highly clustered Protocol version 4 (IPv4) address space, our simulations suggest this organization fosters quick comprehensive worms.