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An Internal Intrusion Detection and Protection System by Using Data Mining and Forensic Techniques
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An Internal Intrusion Detection and Protection System by Using Data Mining and Forensic Techniques

Category : Data Mining


Sub Category : JAVA


Project Code : ITJDM06


Project Abstract

An Internal Intrusion Detection and Protection System by Using Data Mining and Forensic Techniques

 

ABSTRACT

 

In this paper, a security system, named the Internal Intrusion Detection and Protection System (IIDPS), is proposed to detect insider attacks at SC level by using data mining and forensic techniques. The IIDPS creates users’ personal profiles to keep track of users’ usage habits as their forensic features and determines whether a valid login user is the account holder or not by comparing his/her current computer usage behaviors with the patterns collected in the account holder’s personal profile.

 

 

EXISTING SYSTEM

PROPOSED SYSTEM

EXISTING CONCEPT:-

When people exploit powerful capabilities and processing power of computer systems, security has been one of the serious problems in the computer domain since attackers very usually try to penetrate computer systems and behave maliciously, e.g., stealing critical data of a company, making the systems out of work or even destroying the systems.

 

 

 

 Attackers may install Trojans to pilfer victims’ login patterns or issue an  large scale of trials with the assistance of a dictionary to acquire users’ passwords

PROPOSED CONCEPT:-

In this paper, we propose a security system, named Internal Intrusion Detection and Protection System (IIDPS), which detects malicious behaviors launched toward a system

at SC level. The IIDPS uses data mining and forensic profiling techniques to mine system call patterns (SC-patterns) defined as the longest system call sequence (SC-sequence) that has repeatedly appeared several times in a user’s log file for the user.

 

· The user’s forensic features, defined as an SC-pattern frequently appearing in a user’s submitted SC-sequences but rarely being used by other users, are retrieved from the user’s computer usage history.

EXISTING TECHNIQUE:-

Firewalls and intrusion detection systems

PROPOSED TECHNIQUE:-

Forensic technique.

TECHNIQUE DEFINITION:-

Insider attack is one of the most difficult ones to be detected because firewalls and intrusion detection systems (IDSs) usually defend against outside attacks.

TECHNIQUE DEFINITION:-

Identify a user’s forensic features by analyzing the corresponding SCs to enhance the accuracy of attack detection. Able to port the IIDPS to parallel system to further shorten its detection response time. Effectively resist insider attack

DRAWBACKAS:-

When successful, they may then log in to the system, access users’ private files, or modify or destroy system settings.

Accuracy of detection is low

ADVANTAGES:-

Techniques used for intrusion detection provide effective attack resistance.

 

Average detection accuracy is higher

 
 
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