The idea behind the Internet Bad Neighborhood concept is that the probability of a host in behaving badly increases if its neighboring hosts (i.e., hosts within the same subnetwork) also behave badly. This idea, in turn, can be exploited to improve current Internet security solutions, since it provides an indirect approach to predict new sources of attacks (neighboring hosts of malicious ones).
In this context, the main contribution of this dissertation is to present the first systematic and multifaceted study on the concentration of malicious hosts on the Internet. We have organized our study according to two main research questions. In the first research question, we have focused on the intrinsic characteristics of the Internet Bad Neighborhoods, whereas in the second research question we have focused on how Bad Neighborhood blacklists can be employed to better protect networks against attacks.
One of the most important findings of this dissertation is the verification that Internet Bad Neighborhoods are a real phenomenon, which can be observed not only as network prefixes (e.g., /24, in CIDR notation), but also at different and coarser aggregation levels, such as Internet Service Providers (ISPs) and countries.
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