IDS
Category/ Model
Reason
Summary
Function
Example
IDS
1
Network-Based Intrusion
Detection and Prevention
System (NIDPS)
The main reason for
using the network-based
intrusion detection and
prevention system is that
it comes with a lot of
intrusion detection
capabilities and can
effectively analyze as
well as detect suspicious
network packets on a real-
time basis (Azeez et al.,
2020).
The network-based IDPS is
specially designed for
effectively analyzing the
packets at the network,
application, as well as
transport layer of the open
system interconnection
model (Imran, Alghamdi &
Ahmad, 2015). It is
present in the device or
computer system that is
connected to the other
networks within the
organization. It is helpful
in monitoring the network
Antivirus software –
Antivirus software
plays an important role
in protecting computer
systems from harmful
viruses. It not only
detects the viruses but
also helps in removing
it from the computer
systems. It analyzes
the different
components of the
system and identifies
any suspicious
activities. The intrusion
KEMP
Loadmaster is
an ideal
example of a
network-based
intrusion
detection and
prevention
system that
can
significantly
help the
organization.
traffic and searches for
ongoing attacks. It can be
used to monitor the traffic
of the entire network or
particular segments of the
network.
detection capabilities
of antivirus software
make people alert to
potential threats and
ensure optimum online
security.
IDS
2
Wireless Intrusion
Detection and Prevention
System
The main reason why
organizations need to
adopt the WIDPS is that
it is effective in
analyzing and monitoring
the different intrusions
over the wireless
network. It can easily
identify the different
problematic issues, such
Wireless intrusion detection
and prevention system is
another type of NIDPS. It
analyses and monitors the
protocols as well as
packets on the wireless
network. It has the
potential to analyze
network traffic effectively
(Chen, Jaenicke & Volpe,
Firewalls – Firewalls
provide optimum
protection against
different kinds of
routing attacks and IP
spoofing. It also offers
strong protection
against phishing
attacks. It checks all
the incoming and
RogueWatch
and Airdefense
are the
prominent
examples of
the wireless
IDPS that the
organization
can use.
as misconfigurations,
policy violations, and
other potential problems
at the wireless connection
level.
2016).
outgoing information
and allows the
authorized traffic only
(Tiwari et al., 2017).
IDS
3
Network Behavior
Analysis (NBA)
NBA is effective in
identifying the DDoS
attacks as well as
monitoring packets on the
TCP/IP and transport
layer. It also has the
ability to identify the
potential threats that may
arise as a result of
DDoS, policy violations,
and malware.
Network behavior analysis
is yet another type of
NIDPS. NBA has the
potential to analyze as
well as monitor the
network traffic. It helps
the organization in
detecting the unusual
activities that may arise as
a result of DDoS attacks,
policy violations, and
IDS – IDS is effective
in monitoring the
network traffic as well
as computer systems
in order to analyze the
potential hostile attacks
and misuse of different
IT systems. It
enhances the safety of
digital information. zz
Arbor Sightline
is an example
of NBA. zz
malware intrusion.
IDS
4
Host-Based Intrusion
Detection and Prevention
System
The host-based IDPS
provides precise and
reliable information about
the ways in which the
users, as well as
processes, are involved in
a particular attack. It can
even operate in the
encrypted network traffic
environment. The host-
based IDPS remains
unaffected by the
switching of networks.
Host-based IDPS is
specifically designed to
monitor the various events
taking place on the single
host. It is placed on a
specific server or computer
system and monitors the
activities on the same
system. Host-based IDPS
are especially useful for
detecting the local events
on the host system.
Tripwire is a
top example of
host-based
intrusion.
References
Azeez, Nureni & Bada, Taiwo & Misra, Sanjay & Adewumi, Adewole & van der Vyver, Charles & Ahuja, Ravin. (2020). Intrusion
Detection and Prevention Systems: An Updated Review. 10.1007/978-981-32-9949-8_48.
Chen, D., Jaenicke, E. C., & Volpe, R. J. (2016). Food environments and obesity: household diet expenditure versus food deserts.
American journal of public health, 106(5), 881-888.
Imran, M., Alghamdi, &Ahmad, B. (2015). Role of firewall Technology in Network Security. International Journal of Innovation &
advancement in Computer Science. 3-6.
Tiwari, M. & Kumar, R & Bharti, A & Kishan, J. (2017). INTRUSION DETECTION SYSTEM. International Journal of Technical
Research and Applications. 5. 2320-8163.
