What is IDS?
Software or hardware device
Monitors network or hosts for:
Malware (viruses, trojans, worms)
Network attacks via vulnerable ports
Host based attacks, e.g. privilege escalation
What is in an IDS?
An IDS normally consists of:
Various sensors based within the network or on hosts
These are responsible for generating the security events
A central engine
This correlates the events and uses heuristic techniques and rules to create alerts
A console
To enable an administrator to monitor the alerts and configure/tune the sensors
Different types of IDS
Network IDS (NIDS)
Examines all network traffic that passes the NIC that the sensor is running on
Host based IDS (HIDS)
An agent on the host that monitors host activities and log files
Stack-Based IDS
An agent on the host that monitors all of the packets that leave or enter the host
Can monitor a specific protocol(s) (e.g. HTTP for webserver)
What is IDS?
Software or hardware device
Monitors network or hosts for:
Malware (viruses, trojans, worms)
Network attacks via vulnerable ports
Host based attacks, e.g. privilege escalation
What is in an IDS?
An IDS normally consists of:
Various sensors based within the network or on hosts
These are responsible for generating the security events
A central engine
This correlates the events and uses heuristic techniques and rules to create alerts
A console
To enable an administrator to monitor the alerts and configure/tune the sensors
Different types of IDS
Network IDS (NIDS)
Examines all network traffic that passes the NIC that the sensor is running on
Host based IDS (HIDS)
An agent on the host that monitors host activities and log files
Stack-Based IDS
An agent on the host that monitors all of the packets that leave or enter the host
Can monitor a specific protocol(s) (e.g. HTTP for webserver)
Intrusion Detection Systems and Intrusion Prevention Systems Cleverence Kombe
Intrusion detection system (IDS) is software that automates the intrusion detection process. The primary responsibility of an IDS is to detect unwanted and malicious activities. Intrusion prevention system (IPS) is software that has all the capabilities of an intrusion detection system and can also attempt to stop possible incidents.
Computer Security and Intrusion Detection(IDS/IPS)LJ PROJECTS
This ppt explain you various type of possible attack, security property, Traffic Analysis, Security mechanism Intrusion detection system, vulnerability, Attack framework etc.
Intrusion Detection System is a software that keeps monitoring system or network state for possible intrusion and alert the administrator, while IPS is capable of blocking such attacks. Together they constitute IDPS.
Database firewall is a useful tool that monitor databases to identify and protect against database specific attacks that mostly seek to access sensitive information stored in the databases. However the commercial database firewalls are expensive and needs specific product knowledge, while the opensource database firewalls are designed for specific opensource database servers.
In order to fulfill the need of inexpensive database firewall, Snort - an opensource IDS/IPS - is possible to achieve the goal in some scenarios with familiar rule writing. The paper will explain the limitation of Snort as a database firewall, constraints in commercial database statement and some example implementation.
www.lifein01.com - for more info
Nmap uses raw IP packets in novel ways to determine what
hosts are available on the network,
services (application name and version) those hosts are offering,
operating systems (and OS versions) they are running,
type of packet filters/firewalls are in use, and dozens of other characteristics.
Intrusion Detection Systems and Intrusion Prevention Systems Cleverence Kombe
Intrusion detection system (IDS) is software that automates the intrusion detection process. The primary responsibility of an IDS is to detect unwanted and malicious activities. Intrusion prevention system (IPS) is software that has all the capabilities of an intrusion detection system and can also attempt to stop possible incidents.
Computer Security and Intrusion Detection(IDS/IPS)LJ PROJECTS
This ppt explain you various type of possible attack, security property, Traffic Analysis, Security mechanism Intrusion detection system, vulnerability, Attack framework etc.
Intrusion Detection System is a software that keeps monitoring system or network state for possible intrusion and alert the administrator, while IPS is capable of blocking such attacks. Together they constitute IDPS.
Database firewall is a useful tool that monitor databases to identify and protect against database specific attacks that mostly seek to access sensitive information stored in the databases. However the commercial database firewalls are expensive and needs specific product knowledge, while the opensource database firewalls are designed for specific opensource database servers.
In order to fulfill the need of inexpensive database firewall, Snort - an opensource IDS/IPS - is possible to achieve the goal in some scenarios with familiar rule writing. The paper will explain the limitation of Snort as a database firewall, constraints in commercial database statement and some example implementation.
www.lifein01.com - for more info
Nmap uses raw IP packets in novel ways to determine what
hosts are available on the network,
services (application name and version) those hosts are offering,
operating systems (and OS versions) they are running,
type of packet filters/firewalls are in use, and dozens of other characteristics.
Utilizar herramientas de monitoreo que permitan aumentar observar vulnerabilidades en una red expuesta al mundo de internet, con el objetivo de que el alumno futuro administrador determine nuevas estrategias de seguridad en una red corporativa y así poder elevar el desempeño y performance de la red de datos.
Securing the organization from cyber crimes cannot be done only by the perimeter defense. One of the most important knowledge is to understand the cyber criminal operations. This presentation explain about 2 common operations those can be found all over the internet and how to defense.
Apache Spark: The Analytics Operating SystemAdarsh Pannu
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This presentation describes how to implement Network based Intrusion Detection System (SNORT) in the network. Detecting and analyzing alerts generated and blocking the Attacker using Access Control List.
An analysis of Network Intrusion Detection System using SNORTijsrd.com
This paper describes the analysis of signature based intrusion detection systems. Snort which is a signature based intrusion detection system are used for this purpose. We use DARPA dataset for the evaluation of Intrusion detection system.
NetSim Webinar on Network Attacks and DetectionDESHPANDE M
Webinar Contents:
Why use a Network Simulator
Introduction to NetSim
Introduction to Sinkhole Attack : Attack scenario in MANET using NetSim
Intrusion Detection System: Detection mechanism in MANET using NetSim
Analyzing Metrics
Areas of R & D in MANET
Q & A
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The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
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We all have good and bad thoughts from time to time and situation to situation. We are bombarded daily with spiraling thoughts(both negative and positive) creating all-consuming feel , making us difficult to manage with associated suffering. Good thoughts are like our Mob Signal (Positive thought) amidst noise(negative thought) in the atmosphere. Negative thoughts like noise outweigh positive thoughts. These thoughts often create unwanted confusion, trouble, stress and frustration in our mind as well as chaos in our physical world. Negative thoughts are also known as “distorted thinking”.
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This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
3. What’s snort?
NIDS:
A network intrusion detection system (NIDS)
is an intrusion detection system that tries to detect
malicious activity such as denial of service attacks, port
scans or even attempts to crack into computers by
monitoring network traffic.
Snort:
Snort:
an open source network intrusion prevention and
detection system. It uses a rule-based language combining
signature, protocol and anomaly inspection methods
the most widely deployed intrusion detection and
prevention technology and it has become the de facto
standard technology worldwide in the industry.
4. Snort
1.
A packet sniffer:
2.
Packet logger: log data in text file
Honeypot monitor: deceiving hostile parties
NIDS: network intrusion detection system
3.
4.
capture and display packets from
the network with different levels of detail on the console
8. Snort components
From: Rafeeq Ur Rehman, Intrusion Detection Systems with Snort: Advanced IDS
Techniques with Snort, Apache, MySQL, PHP, and ACID.
9. Logical components of snort
Packet Decoder:
Preprocessor:
Detection Engine:
takes packets from different types of
network interfaces (Ethernet, SLIP,PPP…), prepare packets for
processing
(1) prepare data for detection engine; (2)
detect anomalies in packet headers; (3) packet defragmentation;(4)
decode HTTP URI; (5) reassemble TCP streams.
the most important part, applies
rules to packets
Logging and Alerting System
Output Modules: process alerts and logs and generate
final output.
11. Detection Engine
※Things need to be done for detection engine:
•The IP header of the packet
•The transport layer header. TCP, UDP, ICMP etc.
•The application layer level header. Header of DNS, FTP, SNMP, SMTP
•Packet payload
※ How to do these?
Apply rules to the packets using a Boyer-Moore string matching
algorithm
※ Requirement
1.
2.
Time critical
Fast
13. Rules
In a single line
Rules are created by known intrusion signatures.
Usually place in snort.conf configuration file.
rule header
rule options
14. Rule examples
destination ip address
Apply to all ip packets
Source ip address
Destination port
Source port #
Rule options
Alert will be generated if criteria met
Rule header
15. Detection engine order to scan the
rules
1.
2.
3.
Snort does not evaluate the rules
in the order that they appear in
the Snort rules file. In default, the
order is:
Alert rules
Pass rules
Log rules
16. Challenges with snort
Misuse detection –
avoid known
intrusions
Rules database is larger and larger
It continues to grow
snort version 2.3.2, there are 2,600 rules
80% of them are signatures
Snort spends 80% work time to do string match
Anomaly detection –
identify new
attacks
Probability of detection is low
17. Snort components
From: Rafeeq Ur Rehman, Intrusion Detection Systems with Snort: Advanced IDS
Techniques with Snort, Apache, MySQL, PHP, and ACID.
18. Attempts to improve
Increasing preprocessing
ability --- offload partial work from detect
engine
Using hardware to reduce
workload - a hybrid
architecture --- software has more flexibility,
hardware has relatively higher throughput
Better detection algorithm
19. Possible ways?
Organize the well-known rules into
better data structure to achieve
better performance
A detector with acceptable detection
probability