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Published byCameron Evangeline Curtis Modified over 9 years ago
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1 Figure 10-4: Intrusion Detection Systems (IDSs) HOST IDSs Protocol Stack Monitor (like NIDS) Collects the same type of information as a NIDS Collects data even if host is in NIDS blind spot Gives data specific to hosts; relevant for diagnosis Might see data after decryption
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2 Figure 10-4: Intrusion Detection Systems (IDSs) HOST IDSs Operating System Monitors Collect data on operating system events Failed logins Attempt to change system executables Attempt to change system configuration (registry keys, etc.)
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3 Figure 10-4: Intrusion Detection Systems (IDSs) HOST IDSs Application Monitors (Monitor Specific Applications) What users did in terms relevant to an application for easy interpretation Filtering input data for buffer overflows Signatures of application-specific attacks
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4 Figure 10-4: Intrusion Detection Systems (IDSs) Recap Protocol monitor Protocol events (suspicious packets, etc.) Operating monitor Operating system events (file changes, etc.) Application monitor Application events (application commands issued)
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5 Figure 10-4: Intrusion Detection Systems (IDSs) HOST IDSs Weaknesses of Host IDSs Limited Viewpoint; Only see events on one host If host is hacked, Host IDS can be attacked and disabled
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6 Figure 10-4: Intrusion Detection Systems (IDSs) HOST IDSs Other host-based tools File integrity checker programs Create baseline message digests for sensitive files After an attack, recompute message digests This tells which files were changed; indicates Trojan horses, etc.
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7 Figure 10-4: Intrusion Detection Systems (IDSs) HOST IDSs Other host-based tools Operating system lockdown tools Limits changes possible during attacks Limits who may make crucial changes May interfere with software functioning
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8 Figure 10-4: Intrusion Detection Systems (IDSs) Log Files Flat files of time-stamped events Individual logs Integrated logs Aggregation of event logs from multiple IDS agents (Figure 10-7) Difficult to create because of format incompatibilities Time synchronization of IDS event logs is crucial (NTP) Can see suspicious patterns in a series of events across multiple devices
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9 Figure 10-7: Event Correlation for an Integrated Log File Sample Log File (Many Irrelevant Log Entries Not Shown) 1. 8:45:05. Packet from 1.15.3.6 to 60.3.4.5 (network IDS log entry) 2. 8:45:07. Host 60.3.4.5. Failed login attempt for account Lee (Host 60.3.4.5 log entry) 3. 8:45:08. Packet from 60.3.4.5 to 1.15.3.6 (network IDS log entry) 4. 8:49:10. Packet from 1.15.3.6 to 60.3.4.5 (network IDS log entry) 5. 8:49:12. Host 60.3.4.5. Failed login attempt for account Lee (Host 60.3.4.5 log entry) External Host Internal Host
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10 Figure 10-7: Event Correlation for an Integrated Log File Sample Log File (Many Irrelevant Log Entries Not Shown) 6. 8:49:13. Packet from 60.3.4.5 to 1.15.3.6 (network IDS log entry) 7. 8:52:07. Packet from 1.15.3.6 to 60.3.4.5 (network IDS log entry) 8. 8:52:09. Host 60.3.4.5. Successful login attempt for account Lee (Host 60.3.4.5 log entry) 9. 8:52:10. Packet from 60.3.4.5 to 1.15.3.6 (network IDS log entry) 10. 8:56:12. Packet from 60.3.4.5 to 123.28.5.210. TFTP request (network IDS log entry) 11. (no corresponding host log entry) 12. 8:56:28. Series of packets from 123.28.5.210 to 60.3.4.5. TFTP response (network IDS) 13. (no more host log entries)
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11 Figure 10-7: Event Correlation for an Integrated Log File Sample Log File (Many Irrelevant Log Entries Not Shown) 14. 9:03:17. Packet from 60.3.4.5 to 1.17.8.40. SMTP (network IDS) 15. 9:06:12. Packet from 60.3.4.5 to 1.40.22.8. SMTP (network IDS) 16. 9:10:12. Packet from 60.3.4.5 to 60.0.1.1. TCP SYN=1, Destination Port 80 (network IDS) 17. 9:10:13: Packet from 60.3.4.5 to 60.0.1.2. TCP SYN=1, Destination Port 80 (network IDS)
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12 Figure 10-4: Intrusion Detection Systems (IDSs) Analysis Methods Static packet filtering Stateful filtering Full protocol decoding (filters based upon stage in dialogue—login, etc.) Statistical analysis (frequency thresholds for reporting) Anomaly detection (compares normal and current operation) Creates many false positives
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