Exploring the Insights of Intrusion Detection Systems in Cybercrime.pdf

Exploring the Insights of
Intrusion Detection Systems in
Cybercrime

Source: Olemedia
In today’s world, where digitalization is increasing at a massive speed, cyber threats or
crimes are also increasing parallelly. To monitor the network traffic and system activities
for suspicious behavior, enabling organizations to detect and respond to potential
security breaches in real-time, systems like Intrusion Detection Systems play a huge
role in protecting sensitive information or data. As cyber-attacks are becoming more
problematic day by day, understanding the IDS’s functionality and its importance is very
crucial in security measures.

Here, we have provided insights into the Intrusion Detection System and its
components. Let’s dive into the pool of immense info on cybersecurity measures with
IDS.
What is an Intrusion Detection System?
An Intrusion Detection System is a listen-only device and a network security technology
that serves as a defense mechanism, and its key functions are monitoring network
traffic, anomaly detection, alerting administrators, and detecting vulnerability exploits
against a target application or computer. IDS is important to the security ecosystem. It
operates as a defense for systems security when other technologies fail. It Identifies
security incidents, analyzes the quantity and types of attacks, helps to identify bugs or
problems with device configurations, supports regulatory compliance, and improves
security responses.
Types of Intrusion Detection Systems

Network-based, Host-based, Protocol-based, Application protocol-based, and Hybrid
are the five different types of IDS.
1. Network-based IDS
It is a completely protected network that is set up in important areas which are
suspected more to be attacked. It analyzes the content of data and metadata that
transfers to and from devices so that it can detect suspicious acts and timely alert
administrators about the same.
2. Host-based IDS
A host-based IDS monitors the computer infrastructure and is deployed on specific
endpoints to protect it against internal and external cyber threats. It also analyzes traffic
and suspicious activities and notifies authorities.

3. Protocol-based IDS
These IDS are installed on a web server to monitor the behavior and state protocol and
to analyze the protocol between a device and the server.
4. Application protocol-based IDS
The application protocol-based IDS are the systems that sit inside the server party and
monitor and interpret application-specific protocols.
5. Hybrid IDS
The hybrid IDS combines two or more intrusion detection approaches, and by using this
system, host agent data combines with the network information for a comprehensive
view of the system. This system is considered as the most powerful one compared to
others. Prelude is one such example of it.
How does an Intrusion Detection Systems Work?

(www.blog.koorsen.com)
Intrusion Detection Systems only needs to detect potential threats, and it is out of band
on the network infrastructure. As a result, IDS is not in the real-time communication path
between the sender and receiver of information. To analyze the copy of the inline traffic
stream, it often takes advantage of a TAP or SNAP. This ensures that the IDS does not
impact inline network performance.
The depth of analysis required to detect intrusion could not be performed quickly
enough when it was developed. The speed would not keep pace with components on
the direct communications path of the network infrastructure. The detection of
suspicious activity to catch hackers with the help of network IDS is done, so that it can
not damage the network.
There are IDSs. One is network-based, which is on the network itself, and the other is
host-based, which is installed on client computers. An IDS works by looking for
deviations from normal activity and known attack signatures. Anomalous patterns are
sent up the stack and examined at the protocol and application layers. DNS poisonings,
malformed information packets, and Christmas tree scans are the events that are

detected by IDS, it can also be implemented as a network security device or a software
application. It has also cloud-based IDSes so that it can protect data and systems in a
cloud environment.
Intrusion Detection Systems Evasion Techniques Used by
Invaders
(Dragos-Condrea)
There are so many techniques that are used by invaders to get protected from the
detection of IDS. Sometimes, these techniques can create multiple challenges for the
system to monitor them. Here, we will discuss some of these techniques. The first
technique is Fragmentation, which divides it into smaller packets and allows invaders to
remain sheltered, as there will be no attack signature to monitor. These fragmented
packets are later rebuilt by the recipient node at the IP layer then they are forwarded to
the application layer. These types of fragmented attacks are capable of generating
malicious packets by replacing data in fragmented packets with newly formed data.

The second technique is Flooding, which invaders do by spoofing the legitimate UDP
and ICMP. Intruders designed this technique to overwhelm the detector, triggering a
failure of the control mechanism. When a detector fails, all traffic will then be allowed. It
is used to camouflage the suspicious activities of the invader. As a result, IDS face
difficulty in finding packets due to the excess volume of traffic.
The third one is Encryption, which offers several security capabilities such as data
confidentiality, integrity, and privacy. Unfortunately, malicious software creators use
security attributes to conceal attacks and evade detection, so that the attack on an
encrypted protocol cannot be detected by any system. When the IDS cannot match
encrypted traffic to existing database signatures, the encrypted traffic is not encrypted,
which makes it very difficult for detectors to identify cyber-attacks.
The last technique is Obfuscation, which can be used to avoid being identified by
making a message impossible to understand, thereby preserving an attack. It alters the
program code in such a way that keeps it functionally non-differentiable. The objective is
to reduce detectability to reverse engineering or static analysis processes by obscuring
it and compromising readability. Obfuscating malware, for instance, allows it to evade
IDSes.
Conclusion
Intrusion Detection Systems play a crucial role in the ongoing battle against cyber
threats. As cyber crimes are rapidly increasing, taking advanced security measures is
more important than ever. This system provides organizations with the ability to monitor
suspicious activities, such as network traffic, and detect potential intrusions, allowing for
timely responses to minimize risks. By the use of both network-based and host-based
IDS systems, organizations can create a structured defense against negative cyber
activities and will be able to ensure better protection of sensitive data and systems.
Moreover, as technology evolves, so too must the capabilities of IDS. The involvement
of AI and machine learning in IDS increased their effectiveness, enabling them to
identify new attack patterns and adapt to emerging cyber threats. It is clear that
investing in robust intrusion detection not only safeguards individual organizations but
also contributes to a more secure digital landscape for everyone.

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