2007 IEEE International Conference on Communications 2007
DOI: 10.1109/icc.2007.220
|View full text |Cite
|
Sign up to set email alerts
|

Automatic Conflict Analysis and Resolution of Traffic Filtering Policy for Firewall and Security Gateway

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
14
0

Year Published

2007
2007
2015
2015

Publication Types

Select...
5
3

Relationship

0
8

Authors

Journals

citations
Cited by 18 publications
(14 citation statements)
references
References 8 publications
0
14
0
Order By: Relevance
“…Then, they give sufficient conditions to detect redundancy and inconsistency. Ferraresi et al [10] develop a new firewall anomalies classification of based on the severity concept. Besides, they propose two automatic conflict resolution algorithms.…”
Section: Related Workmentioning
confidence: 99%
“…Then, they give sufficient conditions to detect redundancy and inconsistency. Ferraresi et al [10] develop a new firewall anomalies classification of based on the severity concept. Besides, they propose two automatic conflict resolution algorithms.…”
Section: Related Workmentioning
confidence: 99%
“…Today's practice is to treat firewalls as private information known only to administrators. A firewall may have a large number of conflicting rules 22–24, which can be detected and rectified through policy anomaly detection algorithm 22, 23, visualization 25, or firewall queries 7. Through a SQL‐like query language called the SFQL and decision trees as its underlying data structure, firewall queries can be answered in an efficient way and used to assist human users to understand, analyze, maintain and debug firewalls.…”
Section: Related Workmentioning
confidence: 99%
“…The authors of [4], [20], [21], and [22] have focused on techniques for analyzing legacy firewall policies for networks with centralized and distributed firewalls. All possible firewall rule relations are formally defined and are used to identify and classify policy conflicts (anomalies).…”
Section: Related Workmentioning
confidence: 99%