P.  Rajesh Kanna, M.  Murugesan, 
    An Automated to Discover Internal Attacks by using IIDPS,
    International Journal of Soft Computing,
    Volume 16,Issue 4,
    2021,
    Pages 78-81,
    ISSN 1816-9503,
    ijscomp.2021.78.81,
    (https://makhillpublications.co/view-article.php?doi=ijscomp.2021.78.81)
    Abstract: In recent decades the computer use login ID
and credentials scheme to validate handlers. Sharing of
credentials between co users in a company is unavoidable
at certain cases which in turn becomes the vulnerable
ideas of processor security. Insider attackers are the
authorized users who attack the system internally. The
firewalls and IDS protect the system from external
attackers only. The user’s personal profile is created by
IIDPS to preserve path of user’s habits. This system calls
checks user behavior profile, then detect for attackers.
However, the IIDPS system only detects the attacker and
do not perform any actions to deny the service. The
System architecture of improved IIDPS provides high
security performance by investigating third-party shell
commands and analyzes the details of command and
provides security code which is send to authorized user in
wireless network using GSM.
    Keywords: Data mining;insider attack;system calls (SCs);user’s behaviors and intrusion detection