Cyber security has become a major challenge when detecting and preventing attacks on any self-organizing network. Defining a trust and reputation mechanism is a required feature in these networks to assess whether the alerts shared by their Intrusion Detection Systems (IDS) actually report a true incident. This paper presents a way of measuring the trustworthiness of the alerts issued by the IDSs of a collaborative intrusion detection network, considering the detection skills configured in each IDS to calculate the satisfaction on each interaction (alert sharing) and, consequently, to update the reputation of the alert issuer. Without alert satisfaction, collaborative attack detection cannot be a reality in front of ill-intended IDSs. Conducted experiments demonstrate a better accuracy when detecting attacks.

This work would not have been possible without the inestimable contribution of:

• Manuel Gil Pérez
• Gregorio Martínez Pérez

Manuel Gil Pérez, Félix Gómez Mármol, Gregorio Martínez Pérez, «Improving attack detection in self-organizing networks: A trust-based approach toward alert satisfaction«, 4th International Conference on Advances in Computing, Communications and Informatics (ICACCI’15), Kerala (India), 10-13/08/2015

• Website: 4th International Conference on Advances in Computing, Communications and Informatics (ICACCI’15)
• Date: 10-13/08/2015
• Venue: SCMS Cochin School of Business, Kerala (India)