@article{2748,
  author = {Samir Bourekkache, Okba Kazar, Ahmed Aloui},
  title = {Computer and Network Security: Ontological and Multi-agent System for Intrusion Detection},
  journal = {Journal of Digital Information Management},
  year = {2019},
  volume = {17},
  number = {3},
  doi = {10.6025/jdim/2019/17/3/133-144},
  url = {http://dline.info/fpaper/jdim/v17i3/jdimv17i3_3.pdf},
  abstract = {Today the security aspect is a backbone of
every computer system, particularly when this system
contains sensitive information. When we use our computers
and connect to the network or use web services,
we trust that our personal and sensitive information (images,
passwords, credit card number ...etc) are confidential
and well secured by the used security system.
Unfortunately, the hackers may succeed to gain access
to the system and misuse our information. Generally, the
aim of the intrusion is to find new ways to annoy, steal
and harm parts of computer systems. Moreover, with the
possibility of connecting several computers and networks,
the necessity of protecting the whole data and machines
from attackers (hackers) that try to get some confident
information to use for their own benefit or just destroy or
modify valuable information was born. At this point IDS
appears to help users, companies or institutions to detect
when they are getting compromised. In this paper,
we develop an intrusion detection system using multi agent
system, ontological techniques (IDSMAO) and misuse
method.},
}