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
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
KEMP
Loadmaster is
an ideal
example of a
network-based
intrusion
detection and
prevention
system that
can
significantly
help the
organization.
in monitoring the network
traffic and searches for
ongoing attacks. It can
be used to monitor the
traffic of the entire
network or particular
segments of the network.
activities. The
intrusion 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
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
Firewalls – Firewalls
provide optimum
protection against
different kinds of
routing attacks and IP
spoofing. It also
offers strong
protection against
RogueWatch
and Airdefense
are the
prominent
examples of
the wireless
IDPS that the
organization
identify the different
problematic issues, such
as misconfigurations,
policy violations, and
other potential problems
at the wireless
connection level.
network traffic effectively
(Chen, Jaenicke & Volpe,
2016).
phishing attacks. It
checks all the
incoming and
outgoing information
and allows the
authorized traffic only
(Tiwari et al., 2017).
can use.
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
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
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
Arbor
Sightline is an
example of
NBA. yy
as a result of DDoS,
policy violations, and
malware.
as a result of DDoS
attacks, policy violations,
and malware intrusion.
systems. It enhances
the safety of digital
information. yy
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
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.
switching of networks.
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.
