TY  - JOUR
T1  - Online Intrusion Detection System using C4.5 Algorithm with Honeypot
AU - Aref, Ismael Salih AU - Mustafa, Ziyad Tariq AU - Hussain, Iraq Ali AU - Sabaa, Samah Jalil 
JO  - Journal of Engineering and Applied Sciences
VL  - 15
IS  - 5
SP  - 1127
EP  - 1132
PY  - 2020
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2020.1127.1132
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2020.1127.1132
KW  - Online Intrusion Detection System using C4.5 Algorithm with Honeypot
AB  - The computer security system is a protection for computers which is similar to the immune system
in the human body. It includes the protection of all operations and resources within the computer and it
prevention the abuse of intruders who aim to tamper with the security of the computer system. There are many
important methods to protect computer systems such as intrusion detection system and honeypot system. The
intrusion detection system is divided into abuse detection and anomaly detection. Detection of anomalies is an
important method to detect new or unknown attacks. In this research, a robust and integrated system based on
the detection system depending on the famous classification algorithm (C4.5) and the honeypot system. The
proposed system is used to lure attackers and keep them away from the product system. Intrusion detection
system is built and then several tests are conducted to show the detection capabilities that could be achieved.
The experiment result of proposed system explain which services are most vulnerable to attack and what
weaknesses are present in the product system.
ER  -