This document discusses improving intrusion detection systems through the use of honeypots. It begins by outlining the need for network security due to threats like worms, trojans and DDoS attacks. It then explains how intrusion detection systems work by monitoring network traffic and alerts for suspicious activity. The document also discusses different types of IDS and their disadvantages. It proposes using honeypots, which are decoy systems, to help analyze attacks and reduce false alarms in intrusion detection systems. In conclusion, honeypots are presented as a new security paradigm that can provide valuable research to prevent threats.

1. PRESENTED BY BUSHRA
MUNIR
IMPROVING INTRUSION DETECT
SYSTEM BY HONEYPOT

2. Why Network Security
System Automation, New technologies
 Blackhats
 Worms, Trojan, Dos attacks

3. Intrusion Detection System
Monitors network traffic and suspicious activity
Alerts the system or network administrator.
Respond to anomalous or malicious traffic by taking
action such as blocking the user or source IP
address from accessing the network.
Tracking user policy violation.

4. IDS Categories
 Signature based detection system
 Anomaly based detection system
 Specification based detection system

5. Disadvantages
 Known threats
 False alarm ratio
 Logging and analyzing huge amount of data
 Processing Loads

6. New Threats and Attacks
 Phishing
 Botnets
 Trojan and worms
 Impersonation

7. Honeypot
A New paradigm of Security
A honeypot is an information system resource whose
value lies in unauthorized and illicit use of that
resource

8. Classification based on
Implementation
Server Side Honeypot
Client Side Honeypots
Classification based on Interaction
Low Interactive Honeypots
High Interactive Honeypots

9. Value of Honeypot
 Hybrid Honeypots
 Analysis of attacks
 Reduction in False Alarm Ratio

10. Reduction in False Alarm
Ratio of IDS using Honeypot
Proposed model

11. CONCLUSION
Honeypot is a new paradigm to secure and
provides valuable researches to prevent threats.