This document proposes a novel framework for cross-domain firewall policy optimization that preserves privacy. It involves cooperative computation between firewalls from different administrative domains to identify redundant rules without disclosing full policies. Evaluation on real firewall policies found the method could remove up to 49% of rules on average 19.4% with communication costs under a few hundred kilobytes and no online processing overhead.
An Effective Policy Anomaly Management Framework for FirewallsIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
A Novel Management Framework for Policy Anomaly in Firewallijsrd.com
The advent of emerging technologies such as Web services, service-oriented architecture, and cloud computing has enabled us to perform business services more efficiently and effectively. However, we still suffer from unintended security leakages by unauthorized actions in business services. Firewalls are the most widely deployed security mechanism to ensure the security of private networks in most businesses and institutions. The effectiveness of security protection provided by a firewall mainly depends on the quality of policy configured in the firewall. Unfortunately, designing and managing firewall policies are often error-prone due to the complex nature of firewall configurations as well as the lack of systematic analysis mechanisms and tools. In this paper, we represent an innovative policy anomaly management framework for firewalls, adopting a rule-based segmentation technique to identify policy anomalies and derive effective anomaly resolutions. We also discuss a proof-of-concept implementation of a visualization-based firewall policy analysis tool called Firewall Anomaly Management Environment (FAME). In addition, we demonstrate how efficiently our approach can discover and resolve anomalies in firewall policies through rigorous experiments using Automatic rule generation technique.
SURVEY ON COOPERATIVE FIREWALL ANOMALY DETECTION AND REDUNDANCY MANAGEMENTijsrd.com
Network security is essential for protecting the private and public networks such as banking and educational zones. Network can use different kinds of security mechanism. Among this firewall is one of the security mechanisms. The Firewalls are used as a protection barrier among the two different networks. The performance of firewall is mainly based on firewall policies. The firewall policies are used to decide whether the packets can be permitted or to be refused. These rules are crucial for the operation of firewall policies. The firewall policy contains erroneous configurations like rule redundancies, errors and conflicts. Such, conflicts are resolved by various mechanisms based on their errors. The following techniques are used for some error detection and correction process like cross-domain cooperative firewall, firewall compression, firewall decision diagrams, firewall verification tool and anomaly detection tools like FAME(Firewall Anomaly Management Environment),FPA(Firewall Policy Advisor, Fireman etc.
An Effective Policy Anomaly Management Framework for FirewallsIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
A Novel Management Framework for Policy Anomaly in Firewallijsrd.com
The advent of emerging technologies such as Web services, service-oriented architecture, and cloud computing has enabled us to perform business services more efficiently and effectively. However, we still suffer from unintended security leakages by unauthorized actions in business services. Firewalls are the most widely deployed security mechanism to ensure the security of private networks in most businesses and institutions. The effectiveness of security protection provided by a firewall mainly depends on the quality of policy configured in the firewall. Unfortunately, designing and managing firewall policies are often error-prone due to the complex nature of firewall configurations as well as the lack of systematic analysis mechanisms and tools. In this paper, we represent an innovative policy anomaly management framework for firewalls, adopting a rule-based segmentation technique to identify policy anomalies and derive effective anomaly resolutions. We also discuss a proof-of-concept implementation of a visualization-based firewall policy analysis tool called Firewall Anomaly Management Environment (FAME). In addition, we demonstrate how efficiently our approach can discover and resolve anomalies in firewall policies through rigorous experiments using Automatic rule generation technique.
SURVEY ON COOPERATIVE FIREWALL ANOMALY DETECTION AND REDUNDANCY MANAGEMENTijsrd.com
Network security is essential for protecting the private and public networks such as banking and educational zones. Network can use different kinds of security mechanism. Among this firewall is one of the security mechanisms. The Firewalls are used as a protection barrier among the two different networks. The performance of firewall is mainly based on firewall policies. The firewall policies are used to decide whether the packets can be permitted or to be refused. These rules are crucial for the operation of firewall policies. The firewall policy contains erroneous configurations like rule redundancies, errors and conflicts. Such, conflicts are resolved by various mechanisms based on their errors. The following techniques are used for some error detection and correction process like cross-domain cooperative firewall, firewall compression, firewall decision diagrams, firewall verification tool and anomaly detection tools like FAME(Firewall Anomaly Management Environment),FPA(Firewall Policy Advisor, Fireman etc.
Interfirewall optimization across various administrative domain for enabling ...Editor IJMTER
Network security is usually protected by a firewall, which checks in-out packets against
a set of defined policies or rules. Hence, the overall performance of the firewall generally depend on
its rule management. For example, the performance can be decreased when there are firewall rule
anomalies. The anomalies may happen when two sets of firewall rules are overlapped or their
decision parts are both an acceptance and a denial simultaneously. Firewall optimization focuses on
either inter-firewall or intra-firewall optimization within one administrative domain where the
privacy of firewall policies is not a concern. Explore interfirewall optimization across administrative
domain for the first time. The key technical challenge is that firewall policy cannot be shared across
domains because a firewall policy contains confidential information and even potential security
holes, which can be exploited by attackers. Using interfirewall redundant rule which overcome the
prior problem and enable the interfirewall optimization across administrative domains. Also propose
the first cross domain cooperative firewall (CDCF) policy optimization protocol. The optimization
process involves cooperative computation between the two firewall without any party disclosing its
policy to the other.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Interfirewall optimization across various administrative domain for enabling ...Editor IJMTER
Network security is usually protected by a firewall, which checks in-out packets against
a set of defined policies or rules. Hence, the overall performance of the firewall generally depend on
its rule management. For example, the performance can be decreased when there are firewall rule
anomalies. The anomalies may happen when two sets of firewall rules are overlapped or their
decision parts are both an acceptance and a denial simultaneously. Firewall optimization focuses on
either inter-firewall or intra-firewall optimization within one administrative domain where the
privacy of firewall policies is not a concern. Explore interfirewall optimization across administrative
domain for the first time. The key technical challenge is that firewall policy cannot be shared across
domains because a firewall policy contains confidential information and even potential security
holes, which can be exploited by attackers. Using interfirewall redundant rule which overcome the
prior problem and enable the interfirewall optimization across administrative domains. Also propose
the first cross domain cooperative firewall (CDCF) policy optimization protocol. The optimization
process involves cooperative computation between the two firewall without any party disclosing its
policy to the other.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Redundancy removal of rules with reordering them to increase the firewall opt...eSAT Journals
Abstract
Firewalls are widely getting used for securing the private network. Firewalls check each incoming and outgoing packets and according the rules given by network administrator and it will take the decision whether to accept or discard the packet. As per the huge requirement of services on internet the rule set becomes large and takes more time to process one packet and it affects the throughput of firewall. So firewall optimization has a great demand to get good performance. Exiting research efforts developed techniques for either intra-firewall or inter-firewall optimization within a single administrative domain. In addition, existing techniques are inefficient in reducing packet processing delay, because they optimize firewall rules by only reducing the number of rules, but lack the intelligence to decide the order of rules. This paper proposes an adaptive cross-domain firewall policy optimization technique using statistical analysis, while protecting the policy confidentiality. To the best of our knowledge, we are the first to propose a technique that dynamically decides the order of rules based on the network statistics. The proposed technique not only identifies and removes redundant rules but also identifies the order of rules in the rule set to improve the performance of the system. The optimization process involves two tasks: First, collaboratively reduce the number of rules between multiple firewalls, while protecting confidentiality of them. Second, using network usage statistics, identify the order of rules in the rule set The feasibility of the proposed technique is shown with the help of the prototype implementation. The evaluation results show the effectiveness and efficiency of the proposed solution.
Keywords: Civilization, Redundancies, Adjoining, Privacy, Stiff.
A COMBINATION OF THE INTRUSION DETECTION SYSTEM AND THE OPEN-SOURCE FIREWALL ...IJCNCJournal
There are many security models for computer networks using a combination of Intrusion Detection System and Firewall proposed and deployed in practice. In this paper, we propose and implement a new model of the association between Intrusion Detection System and Firewall operations, which allows Intrusion Detection System to automatically update the firewall filtering rule table whenever it detects a weirdo intrusion. This helps protect the network from attacks from the Internet.
A Combination of the Intrusion Detection System and the Open-source Firewall ...IJCNCJournal
There are many security models for computer networks using a combination of Intrusion Detection System and Firewall proposed and deployed in practice. In this paper, we propose and implement a new model of the association between Intrusion Detection System and Firewall operations, which allows Intrusion Detection System to automatically update the firewall filtering rule table whenever it detects a weirdo intrusion. This helps protect the network from attacks from the Internet.
A Complete Guide To Firewall How To Build A Secure Networking System.pptxBluechipComputerSyst
In today's interconnected world, the value of a secure networking system cannot be overstated. In a digital landscape where businesses
https://www.bluechip-gulf.ae/guide-firewall-build-secure-networking-system/
Distributed firewalls have been developed to maintain the networks with a higher level of protection than conventional firewalling mechanisms like gateway and host-based fire-walls. even though distributed firewalls provide higher secu-rity, they too have boundaries. Toovercome those limitations we presenting the design & implementation of a new distrib-uted firewall model, based on stateful Cluster Security Gateway (CSG) architecture[1]. This distributed security model are implemented in bottom-up approach means each cluster of end-user hosts are secured first using the CSG architecture. These different CSGs are then centrally man-aged by the Network Administrator. A file-based firewall update mechanism is used for dynamic real- time security. IPsec protocol is used to secure the firewall policy update distribution while X.509 certificates cater for sender/receiver authentication. The major advantage of this approach is to distributed security include tamper resistance, anti-spoofing, anti-sniffing, secure up to date firewall updating, low overall network load, high scalability and low firewall junction times.
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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1. Cross-Domain Privacy-Preserving Cooperative Firewall
Optimization
ABSTRACT:
Firewalls have been widely deployed on the Internet for securing private networks.
A firewall checks each incoming or outgoing packet to decide whether to accept or
discard the packet based on its policy. Optimizing firewall policies is crucial for
improving network performance. Prior work on firewall optimization focuses on
either intrafirewall or interfirewall optimization within one administrative domain
where the privacy of firewall policies is not a concern. This paper explores
interfirewall optimization across administrative domains for the first time. The key
technical challenge is that firewall policies cannot be shared across domains
because a firewall policy contains confidential information and even potential
security holes, which can be exploited by attackers. In this paper, we propose the
first cross-domain privacy-preserving cooperative firewall policy optimization
protocol. Specifically, for any two adjacent firewalls belonging to two different
administrative domains, our protocol can identify in each firewall the rules that can
be removed because of the other firewall. The optimization process involves
cooperative computation between the two firewalls without any party disclosing its
policy to the other. We implemented our protocol and conducted extensive
experiments. The results on real firewall policies show that our protocol can
remove as many as 49% of the rules in a firewall, whereas the average is 19.4%.
2. The communication cost is less than a few hundred kilobytes. Our protocol incurs
no extra online packet processing overhead, and the offline processing time is less
than a few hundred seconds.
ARCHITECTURE:
AIM:
To provide an innovative policy anomaly management framework for firewalls,
adopting a rule-based segmentation technique to identify policy anomalies and
derive effective anomaly resolutions.
3. SYNOPSIS:
A novel anomaly management framework for firewalls based on a rule-based
segmentation technique to facilitate not only more accurate anomaly detection but
also effective anomaly resolution. Based on this technique, a network packet space
defined by a firewall policy can be divided into a set of disjoint packet space
segments. Each segment associated with a unique set of firewall rules accurately
indicates an overlap relation among those rules. We also introduce a flexible
conflict resolution method to enable a fine grained conflict resolution with the help
of several effective resolution strategies with respect to the risk assessment of
protected networks and the intention of policy definition.
EXISTING SYSTEM:
Prior work on firewall optimization focuses on either intrafirewall optimization, or
interfirewall optimization within one administrative domain where the privacy of
firewall policies is not a concern.
Firewall policy management is a challenging task due to the complexity and
interdependency of policy rules. This is further exacerbated by the continuous
evolution of network and system environments.
4. The process of configuring a firewall is tedious and error prone. Therefore,
effective mechanisms and tools for policy management are crucial to the success of
firewalls.
Existing policy analysis tools, such as Firewall Policy Advisor and FIREMAN,
with the goal of detecting policy anomalies have been introduced. Firewall Policy
Advisor only has the capability of detecting pair wise anomalies in firewall rules.
FIREMAN can detect anomalies among multiple rules by analyzing the
relationships between one rule and the collections of packet spaces derived from
all preceding rules.
However, FIREMAN also has limitations in detecting anomalies. For each firewall
rule, FIREMAN only examines all preceding rules but ignores all subsequent rules
when performing anomaly analysis. In addition, each analysis result from
FIREMAN can only show that there is a misconfiguration between one rule and its
preceding rules, but cannot accurately indicate all rules involved in an anomaly.
DISADVANTAGES OF EXISTING SYSTEM:
The number of rules in a firewall significantly affects its throughput.
Fireman can detect anomalies among multiple rules by analyzing the
relationships between one rule and the collections of packet spaces derived
5. from all preceding rules. For each firewall rule, FIREMAN only examines
all preceding rules but ignores all subsequent rules when performing
anomaly analysis.
PROPOSED SYSTEM:
In this paper, we represent a novel anomaly management framework for firewalls
based on a rule-based segmentation technique to facilitate not only more accurate
anomaly detection but also effective anomaly resolution.
Based on this technique, a network packet space defined by a firewall policy can
be divided into a set of disjoint packet space segments. Each segment associated
with a unique set of firewall rules accurately indicates an overlap relation (either
conflicting or redundant) among those rules.
We also introduce a flexible conflict resolution method to enable a fine-grained
conflict resolution with the help of several effective resolution strategies with
respect to the risk assessment of protected networks and the intention of policy
definition.
6. ADVANTAGES OF PROPOSED SYSTEM:
In our framework conflict detection and resolution, conflicting segments are
identified in the first step. Each conflicting segment associates with a policy
conflict and a set of conflicting rules. Also, the correlation relationships among
conflicting segments are identified and conflict correlation groups are derived.
Policy conflicts belonging to different conflict correlation groups can be resolved
separately, thus the searching space for resolving conflicts is reduced by the
correlation process.
MODULES:
Correlation of Packet Space Segment
Action Constraint Generation
Rule Reordering
Data Package
7. MODULES DESCRIPTION:
Correlation of Packet Space Segment:
The major benefit of generating correlation groups for the anomaly analysis is that
anomalies can be examined within each group independently, because all
correlation groups are independent of each other. Especially, the searching space
for reordering conflicting rules in conflict resolution can be significantly lessened
and the efficiency of resolving conflicts can be greatly improved.
Action Constraint Generation:
In a firewall policy are discovered and conflict correlation groups are identified,
the risk assessment for conflicts is performed. The risk levels of conflicts are in
turn utilized for both automated and manual strategy selections. A basic idea of
automated strategy selection is that a risk level of a conflicting segment is used to
directly determine the expected action taken for the network packets in the
conflicting segment. If the risk level is very high, the expected action should deny
packets considering the protection of network perimeters
Rule Reordering:
The solution for conflict resolution is that all action constraints for conflicting
segments can be satisfied by reordering conflicting rules. In conflicting rules in
8. order that satisfies all action constraints, this order must be the optimal solution for
the conflict resolution.
Data Package:
When conflicts in a policy are resolved, the risk value of the resolved policy should
be reduced and the availability of protected network should be improved
comparing with the situation prior to conflict resolution based on the threshold
value data will be received in to the server.
SYSTEM CONFIGURATION:-
H/W SYSTEM CONFIGURATION:-
Processor -Pentium –III
Speed - 1.1 Ghz
RAM - 256 MB(min)
Hard Disk - 20 GB
Floppy Drive - 1.44 MB
Key Board - Standard Windows Keyboard
9. Mouse - Two or Three Button Mouse
Monitor - SVGA
S/W System Configuration:-
Operating System : Windows95/98/2000/XP
Front End : Java
REFERENCE:
Fei Chen, Bezawada Bruhadeshwar, and Alex X. Liu, “Cross-Domain Privacy-
Preserving Cooperative Firewall Optimization”, IEEE/ACM TRANSACTIONS
ON NETWORKING, VOL. 21, NO. 3, JUNE 2013