A Hybrid Approach of Similarity-based and Scenario-based Algorithms in Alert Correlation, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasoul (Supervisor)
Abstract
The rapid growth and increase in complexity of modern network and communication systems have made a demand for protecting organizations’ sensitive data and resources from malicious intrusions. Attackers and intruders perform malicious attacks by exploiting vulnerabilities, weaknesses, and flaws in computer systems using novel and advanced techniques. Traditional security mechanisms, such as authentication, access control, and firewall cannot prevent these attacks. Therefore, Intrusion detection systems (IDSs) are employed to detect abnormal activities and monitor network traffic and hosts’ events. These systems suffer from several limitations, including generating a huge amount of alerts and...
Cataloging briefA Hybrid Approach of Similarity-based and Scenario-based Algorithms in Alert Correlation, M.Sc. Thesis Sharif University of Technology ; Jalili, Rasoul (Supervisor)
Abstract
The rapid growth and increase in complexity of modern network and communication systems have made a demand for protecting organizations’ sensitive data and resources from malicious intrusions. Attackers and intruders perform malicious attacks by exploiting vulnerabilities, weaknesses, and flaws in computer systems using novel and advanced techniques. Traditional security mechanisms, such as authentication, access control, and firewall cannot prevent these attacks. Therefore, Intrusion detection systems (IDSs) are employed to detect abnormal activities and monitor network traffic and hosts’ events. These systems suffer from several limitations, including generating a huge amount of alerts and...
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