Web Security, Privacy and Commerce
Web Security, Privacy and Commerce
Fuzzy Logic-Based Diagnosis of Traffic Anomalies in Voice Networks
Journal of Network and Systems Management
Incorporating soft computing techniques into a probabilistic intrusion detection system
IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
Proceedings of the 28th Annual Computer Security Applications Conference
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Malicious software (malware) infects large numbers of computers around the world. This malware can be used to promote unwanted products, disseminate offensive content, or provide unauthorized access to personal and financial information. Until recently mobile networks have been relatively isolated from the Internet, so there has been little need to protect them against Botnets. Mobile networks are now well integrated with the internet, so threats on the internet such as Botnets have started to migrate onto mobile networks. Botnets on mobile devices will probably appear very soon, there are already signs that this is happening. This paper studies the potential threat of Botnets based on mobile networks, and proposes the use of computational intelligence techniques to detect Botnets. We then simulate anomaly detection followed by an interpretation of the simulated values.