The network-based intrusion detection system (NIDS) is one of the smartest devices on the network, carefully examining the traffic from the equipment it is located in. NIDS can be hardware or software based systems, and depending on the manufacturer, they can be Ethernet, FDDI, etc. can be connected to various environments. Typically, NIDS has two network interfaces. One for listening to network conversations in random mode and the other for management and reporting.
The Network Based Intrusion Detection System (NIDS) is responsible for monitoring and analyzing network traffic to identify potentially suspicious activity and genuine threats through the utilization of NIDS sensors. It examines the content and header information of all data packets moving on the network.
NIDS sensors are strategically positioned within the network to examine traffic originating from various network devices. As an illustration, these sensors are commonly deployed in the same subnet as the firewall to effectively identify attacks such as denial of service (DoS) and other malicious activities.
How does an IDS work?
* The primary role of an Intrusion Detection System (IDS) is to constantly monitor the traffic within a computer network, diligently searching for any indications of unusual or suspicious activity.
* It analyzes data flowing over the network for abnormal behavior patterns and symptoms.
* An IDS compares network activity against defined criteria and patterns to identify activities that could indicate an attack or intrusion.
* If IDS finds a match for any of these rules or patterns, it sends a notification to the system administrator.
* Administrators can control the warning and prevent further damage or access.
Detection Method of IDS
1. Signature-based intrusion detection
Signature-based intrusion detection aims to identify potential threats by comparing network traffic and log data with existing attack patterns. These patterns are called sequences (hence the name) and may contain sequences of bytes called malicious instruction sequences. Signature-based detection allows you to identify and identify known attacks.
2. Anomaly-based intrusion detection
It is designed to detect unknown attacks, such as new malware and instantly adapt to them using machine learning. Machine learning techniques enable intrusion detection systems (IDS) to build a base of trust (called a trust model) and then compare the new behavior with the trust model. False positives can occur when using a weak IDS, as previously unknown but legitimate communications can be misidentified as malicious.
Comparison of IDS with Firewalls
Both IDSs and firewalls are related to network security, but IDSs are different from firewalls because firewalls look for outside access to prevent this from happening. The firewall restricts the access of networks to block access and does not show the attack if it comes from the network. When an intrusion occurs, IDS discloses the suspected intrusion and then sets up an alert.
Intrusion Prevention System
The utilization of automated IPS solutions is highly beneficial in safeguarding other security devices or controls by effectively filtering out and preventing malicious activity from reaching them. This reduces the manual work of the security team and allows other security products to work more efficiently.
IPS solutions are highly proficient in both detecting and preventing instances of fraud, making them an effective tool for maintaining security and protecting against fraudulent activities. When a vulnerability is discovered, it is usually found before the security is exploited. An immigration prevention system is used here to quickly stop such attacks.
IPS devices were first developed and released as a device in the mid-2000s. This capability is integrated into advanced threat management (UTM) solutions and firewalls. Next IPS solutions now depend on cloud-based computing and networking services.
It can also do more monitoring and analysis, such as intrusion prevention, monitoring, and reacting to bad traffic patterns or packets. Search mechanisms may include:
* HTTP string and substring matching
* TCP/UDP port matching
* Generic pattern matching
* Packet anomaly detection
* Address matching
* Traffic anomaly detection
* TCP connection analysis
An intrusion detection system (IDS) is a powerful tool that can help businesses detect and block unauthorized access to their networks. IDS can detect suspicious activity and alert administrators by analyzing network connectivity patterns. Adding an IDS to an organization's security infrastructure offers substantial benefits by increasing visibility into network operations and enhancing network performance.