An intrusion detection system (IDS) gathers and analyzes information from within a computer or network to identify unauthorized access, misuse, and possible violations.
IDS also can be referred to as a packet sniffer which intercepts packets travel along with various communication mediums. All the packets are analyzed after they are captured.
The main purpose of IDS is they not only prevent intrusion but they also alert administrators immediately when an attack going on.
Intrusion can be identified in three ways.
It is also known as misuse detection, it tries to identify the events that indicate an abuse of the system. It is achieved by creating models of intrusions.
Incoming events are compared with the intrusion models for detection and decision. While making a signature the model should detect the incoming intrusion without making any impact on regular traffic, only malicious traffic should match the model, or else the false alarm will be raised.
It is termed “not-use detection” and it differs from the signature recognization model.
The model consists of a database of Anomalies. Any event that is identified with the database is called an anomaly. Any deviation from normal use is considered an Attack.
This technique is based on the anomalies specific to a protocol, this model was integrated with IDS recently.
This identifies TCP/IP-specific flaws with the network. Protocols are created with specifications, known as RFCs(RFC1192) for dictating proper use and communication.
NIDS checks every packet entering the network for anomalies and incorrect data. Unlike a firewall that is confined to filtering packets malicious packets, IDS inspects every packet thoroughly.
A NIDS captures and inspects all the traffic regardless of whether it is permitted. Based on the content, either the application or IP level, an alert is generated.
Network-based intrusion systems tend to be more distributed than host-based. NIDS is designed basically to identify the anomalies in the network and the host level.
It audits information contained in data packets and logs information of malicious packets.
A threat level is assigned to each packet after the data packet is received. These mechanisms typically consist of a black box that is placed on the network in the promiscuous mode, listening for patterns indicative of an intrusion.
In the host-based system, the IDS analyzes each system’s behavior. The HIDS can be installed on any system ranging from a desktop PC to a server. The HIDS is more versatile than the NIDS.
One example of a host-based system is a program that operates on a system and receives an application or operating system audit logs.
These programs are highly effective in detecting insider abuses. If one of the users attempts unauthorized activity then the host-based system logs and collects the most pertinent information promptly.
In addition to detecting unauthorized insider activity, host-based systems are also effective at detecting
These programs are highly effective for detecting insider abuses. If one of the users attempts unauthorized activity then the host-based system logs and collects the most pertinent information promptly.
In addition to detecting unauthorized insider activity, host-based systems are also effective at detecting unauthorized file modification.
HIDSes are more focused on changing aspects of the local systems.HIDS is also more platform-centric, with more focus on the Windows OS, but there are other HIDSs for UNIX platforms. These mechanisms usually include auditing for events that
These mechanisms usually include auditing for events that occur on a specific host. These are not as common, due to the overhead they incur by having to monitor each system event.
A Log File Monitor (LFM) monitors log files created by network services. The LFT IDS searches through the logs and identifies malicious events.
In a similar manner to NIDS, these systems look for patterns in the log files that suggest an intrusion. These mechanisms are typically programs that parse log files after an event has already occurred, such as failed login attempts.
These mechanisms check for Trojan horses, or files that have otherwise been modified, indicating an intruder has already been there.
• Snort
• Bro Intrusion Detection System
• Cisco Intrusion Prevention System (IPS)
• Juniper Networks Intrusion Detection & Prevention (IDP)
Snort is an open-source network intrusion prevention and detection system (IDS/IPS) created by Martin Roesch and put out by Sourcefire (acquired by Cisco in 2013).
The best deal for the money (it’s free). It does an amazing job of combining the benefits of signature, protocol, and anomaly-based inspection. Snort is without a doubt the most widely deployed IDS/IPS technology across the globe. With millions of downloads and approximately 300,000 registered users.
Bro is an open-source, Unix-based Network Intrusion Detection System (NIDS) that passively monitors network traffic and looks for suspicious activity.
Bro detects intrusions by first parsing network traffic to extract its application-level semantics and then executing event-oriented analyzers that compare the activity with patterns deemed troublesome.
Its analysis includes detection of specific attacks (including those defined by signatures, but also those defined in terms of events) and unusual activities (for example, certain hosts connecting to certain services, or patterns of failed connection attempts).
Besides being one of the most expensive, Cisco IPS is one of the most widely deployed intrusion prevention systems thanks to its acquisition of Surefire. The company’s Firepower network security appliances are based on Snort.
Cisco offers:
Protection against more than 30,000 known threats, Timely signature updates, and Cisco Global Correlation to dynamically recognize, evaluate, and stop emerging Internet threats
Cisco IPS includes industry-leading research and the expertise of Cisco Security Intelligence Operations.
Cisco IPS protects against increasingly sophisticated attacks, including Directed attacks, Worms, Botnets, Malware, and Application abuse.
Juniper Networks IDP Series Intrusion Detection and Prevention Appliances with Multi-Method Detection (MMD), offers an impressive comprehensive coverage by leveraging multiple detection mechanisms.
For one example, by utilizing signatures, as well as other detection methods including protocol anomaly traffic anomaly detection, the Juniper Networks IDP Series appliances can thwart known attacks as well as possible future variations of the attack.
You can follow us on Linkedin, Twitter, and Facebook for daily Cybersecurity updates
The LightSpy threat actor exploited publicly available vulnerabilities and jailbreak kits to compromise iOS devices.…
White House National Cyber Director, CEOs, Key Financial Services Companies, Congressional and Executive Branch Experts…
Cybersecurity experts have identified a new Remote Access Trojan (RAT) named PySilon. This Trojan exploits…
The notorious Konni Advanced Persistent Threat (APT) group has intensified its cyber assault on organizations…
Google has updated its Chrome browser, addressing critical vulnerabilities that posed potential risks to millions…
WrnRAT is a new malware attack that cybercriminals have deployed by using popular gambling games…
View Comments
Wonderful sir!!!! It was a good piece of information!!!!! ;)
Good one.. Impressed with it... Clear and crisp as like your classes...