Enhancement Graph Analysis Console For Intrusion Database (ACID).
IV
ABSTRACT
Projek Satjana Muda (PSM) is one opportunities for student to implemented all
their studies by developing their own project related on the majoring course. On the
project student can build their capability and self confidence to build up their own
project alone. The project is named Enhancement Graph Analysis Console for Intrusion
Databases (ACID) to work with database. The proposes of this project is to enhance the
graph in the ACID database. The main configuration file for ACID is an acid_conf.php
file located in the ACID directory on a web server. ACID adds extra table to the
database and using ACID is rather simple. ACID also provides the ability to annotate
and logically group related events, delete false positives, or archive alerts among
databases. A variety of statistics and graphs can be generated based on time, IP address,
ports, alert classification, and sensor. It develops by methodology with the phase started
with investigation, analysis, design, implementation, testing and final analysis. Analysis
chapter, to look detail about the current system scenario and situation, problem
statement requirement analysis and technical of requirement. For develop in chapter
design to create graph in ACID for user friendly and easy to use.
ABSTRACT
Projek Satjana Muda (PSM) is one opportunities for student to implemented all
their studies by developing their own project related on the majoring course. On the
project student can build their capability and self confidence to build up their own
project alone. The project is named Enhancement Graph Analysis Console for Intrusion
Databases (ACID) to work with database. The proposes of this project is to enhance the
graph in the ACID database. The main configuration file for ACID is an acid_conf.php
file located in the ACID directory on a web server. ACID adds extra table to the
database and using ACID is rather simple. ACID also provides the ability to annotate
and logically group related events, delete false positives, or archive alerts among
databases. A variety of statistics and graphs can be generated based on time, IP address,
ports, alert classification, and sensor. It develops by methodology with the phase started
with investigation, analysis, design, implementation, testing and final analysis. Analysis
chapter, to look detail about the current system scenario and situation, problem
statement requirement analysis and technical of requirement. For develop in chapter
design to create graph in ACID for user friendly and easy to use.