Achieving Optimal Firewall Filtering Through Dynamic Rule Reordering
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Latest cutting edge technologies like cloud computing, web services, web architecture have enhanced the business experience. The technologies have increased the demand for bandwidth which in turn has heightened the necessity for routers that can handle large traffic volumes up to thousands of packets per second. However, the greatest challenge is to protect the network from unintended information leakage through unauthorized traffic. Firewall act as a defense against this unauthorized traffic by establishing secure communication in networks. Nevertheless, firewalls are controlled by security policies which are complex and fraught with thousands of conflicting rules written by administrators over a period of time while resolving issues. Therefore, an effective firewall conflict management is required to act as a barrier between the trusted and untrusted network traffic opposing unauthorized access to Internet-based enterprises. In this study, we have proposed a framework to handle the policy conflict in firewalls based on risk assessment of conflicts. We have identified the risk level of the policy conflict on the basis of vulnerability assessment on the secured network. We have utilized Dynamic Rule Reordering to reorder the conflicting rules and achieve optimal solutions for conflict resolution. The proposed method was found to detect and anomalies much faster than the existing methods.
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