Master'sOpen Access

Evasion techniques efficiency over the intrusion prevention and detection technology

Is this your thesis?

This record came from a bulk archive import. If it’s yours, link it to your profile.

2019
0 views
0 downloads

Abstract (EN)

Intrusion Prevention Systems (IPS) and Intrusion Detection Systems (IDS) are the first line of the defense of cyber-environment. This technology is made for capturing and preventing breaches and attacks for perimeter and three-tiered architecture security. Besides intrusion detection and prevention system provides an remarkable of centralized security management and reporting. Evading of an intrusion detection and prevention system creates a large gap in cyber-security. This research examines seven common evasion techniques and success rates of these over the intrusion detection and prevention system. The success rates was measured that firstly attacks without evasion was sent to the victim machines and observed the number of alarm that was triggered by Snort intrusion detection and prevention system. Then attacks were combined with the seven evasion techniques and they were sent to the victim machines and observed the number of alarm. The statistical difference between first and the second situation determines the success rate of the evasion technique. These techniques are TTL evasion, fragmentation with MTU modification evasion, tampering time – agent name and port name evasion, encoding and obfuscation evasion, bad checksum evasion, file header manipulation evasion, file and path change evasion. The test results are shared in tables to demonstrate the exact success rates. There are some trials that gives negative success on evasion, these are also shared to evaluate the test results objectively. The last part include have suggestions to avoid the seven evasion techniques. There are some countermeasures to mitigate the seven evasion attacks in which there remarkable solutions only for three of them. The rest of evasion techniques have no feasible mitigations. The last version of Snort intrusion detection and prevention system was used to test attacks and evasion techniques. The whole attack and evasion dataset created by contemporary attack techniques during the research. Test results demonstrate that the intrusion detection and prevention system can be bypassed with evasion techniques.

Author

Hakan Kılıç

How to Cite

Hakan Kılıç (Master Thesis). Evasion techniques efficiency over the intrusion prevention and detection technology, 2019, TOBB Economics and Technology University.

Keywords

License

Tüm Hakları Saklıdır

This work is shared under the specified license terms.

More theses from TOBB Economics and Technology University