Your SlideShare is downloading. ×
Intrusion detection system
Upcoming SlideShare
Loading in...5

Thanks for flagging this SlideShare!

Oops! An error has occurred.


Introducing the official SlideShare app

Stunning, full-screen experience for iPhone and Android

Text the download link to your phone

Standard text messaging rates apply

Intrusion detection system


Published on

Its about intrusion detection system(IDS),types of IDS,different types of intrusion detection system.

Its about intrusion detection system(IDS),types of IDS,different types of intrusion detection system.

Published in: Engineering

1 Like
  • Be the first to comment

No Downloads
Total Views
On Slideshare
From Embeds
Number of Embeds
Embeds 0
No embeds

Report content
Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

No notes for slide


  • 2. INTRUDERS • Many computer security incidents are caused -by insiders • Who could not be blocked by firewalls. • So as a next level of defense – we are using Intrusion detection system.
  • 3. INTRUSION DETECTION SYSTEM • intrusion detection system (IDS) is a device • typically another separate computer, that monitors – activity to identify malicious or suspicious events. • An IDS is a sensor
  • 4. FUNCTIONS • Monitoring users and system activity • auditing system configuration for vulnerabilities and misconfigurations • assessing the integrity of critical system and data files • recognizing known attack patterns in system activity
  • 5. • identifying abnormal activity through statistical analysis • correcting system configuration errors
  • 6. TYPES • Signature-based intrusion detection systems: – perform pattern-matching and – report situations that match a pattern corresponding to a known attack type. • Heuristic intrusion detection systems( anomaly based) build a – detection looks for behavior that is out of the ordinary.
  • 7. • Intrusion detection devices can be – network based or – host based. • network-based IDS is a – stand-alone device attached to the network to monitor traffic throughout that network • host-based IDS runs on a single workstation or client or host, to protect that one host.
  • 8. Signature-Based Intrusion Detection • The problem with signature-based detection is the signatures themselves. • An attacker will try to modify a basic attack in such a way that it will not match the known signature of that attack. • signature-based IDSs cannot detect a new attack for which a signature is not yet installed in the database
  • 9. Heuristic Intrusion Detection • heuristic intrusion detection looks for behavior that is out of the ordinary. • Inference engine perform continuous analysis of the system • Raising an alert when systems dirtiness increase the threshold. • Inference engine works in 2 ways – State based intrusion detection system. – Model based intrusion detection system.
  • 10. State based intrusion detection system: • see the system going through changes of overall state or configuration. • They try to detect when the system moves to unsafe state Model based intrusion detection system: • Map current activity into model of unacceptable activity • Raise an alarm when activity resembles the model.
  • 11. Misuse intrusion detection: • intrusion detection can work from a model of known bad activity. • All heuristic intrusion detection activity is classified in one of three categories: – good/benign, – suspicious, – unknown. • Over time, specific kinds of actions can move from one of these categories to another,
  • 12. Stealth Mode • An IDS is a network device . • Any network device is potentially vulnerable to network attacks. • To counter those problems,: • most IDSs run in stealth mode. • an IDS has two network interfaces: – one for the network being monitored – to generate alerts
  • 13. • The IDS uses the monitored interface as input only – it never sends packets out through that interface. • If the IDS needs to generate an alert, – it uses only the alarm interface on a completely separate control network
  • 14. Goals for Intrusion Detection Systems • an IDS should be – fast, – simple, – accurate, – while at the same time being complete. – It should detect all attacks with little performance penalty
  • 15. • An IDS could use some—or all—of the following design approaches: – filter on packet headers – filter on packet content – maintain connection state – use complex, multipacket signatures – use minimal number of signatures with maximum effect – filter in real time, online – hide its presence – use optimal sliding time window size to match signatures
  • 16. Responding to Alarms • Whatever the type, an intrusion detection system raises an alarm when it finds a match. • The alarm can range from something modest, such as writing a note in an audit log, to something significant, such as paging the system security administrator.
  • 17. • responses fall into three major categories: – monitor – protect – call a human • Monitoring is appropriate for an attack of initial impact. • Perhaps the real goal is to watch the intruder, • to see : – what resources are being accessed or – what attempted attacks are tried. – This approach should be invisible to the attacker.
  • 18. • Protecting can mean – increasing access controls and – even making a resource unavailable • In contrast to monitoring, protecting may be very visible to the attacker. • calling a human allows individual discrimination. • The IDS can take an initial defensive action immediately while also generating an alert to a human.
  • 19. False Results • Intrusion detection systems are not perfect. – and mistakes are their biggest problem. • 2 main false result: – false positive-by raising an alarm for something that is not really an attack – false negative- not raising an alarm for a real attack. • Too many false positives means the administrator will be less confident of the IDS's warnings. • But false negatives mean that real attacks are passing the IDS without action.
  • 20. IDS Strengths and Limitations • Strength: • IDSs detect an ever-growing number of serious problems. – And as we learn more about problems, we can add their signatures to the IDS model. – Thus, over time, IDSs continue to improve. • becoming cheaper • easier to administer.
  • 21. • Limitation: • avoiding an IDS is a first priority for successful attackers. • An IDS that is not well defended is useless. • Similar IDS have identical vulnerabilities so – there selection criteria will miss similar attack. • IDS is sensitive – Which is difficult to measure and adjust. • An IDS does not run itself. • General: • IDS ARE EXCELLENT ADDITION TO NETWORK SECURITY
  • 22. SNORT • It is a light weight open source network – intrusion prevention – Network intrusion detection system(NIDS) • based on signature detection. • It has real time alarming capacity.
  • 23. • When an attack has occurred the alert tells us: – Date and time the attack occurred. – Source and destination IP address with port number. – Type of attack – Priority
  • 24. LOCATION: • The snort have to be installed in those part of the network that have to be protected. • The snort can be distributed to different parts of network infrastructure and can send alarm to one central console. • Snort network interface card(NIC) captures all network traffic that goes by its NIC.
  • 25. TOOLS: • Snort Alert Monitor: – Java based console. – Will give a quick look at the Snort alert – Can be configured to send e-mail when Snort alerts to an attempted exploit on your network. • Snortalog: – It is a Perl based Snort log analyser. – Allows to develop plaint text on HTML summery reports and graph representation of top attack that has been detected by Snort Sensor
  • 26. • SnortFW: – It analyses incoming Snort alerts and updates iptables firewall to block the attacker. • IDSCenter: – It is an all-in-one centralized graphical utility for managing • Snort • Alerts • Rules • Configuration files • Distributing updates • Generate reports • Email • Auditable/visual alarm notification.