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Detection of malicious consumer interest packet with dynamic threshold values.

Adnan Mahmood Qureshi¹, Nadeem Anjum¹, Rao Naveed Bin Rais²

¹Computer Science, Capital University of Science and Technology, Islamabad, Pakistan.

Peerj. Computer Science

|April 9, 2021

Summary

This study enhances Named Data Networking (NDN) security by introducing a mechanism to combat content poisoning attacks. It effectively detects and blocks malicious nodes exploiting interest flooding, improving network robustness.

Keywords:

Content poisoning attacks Dynamic threshold Malicious consumer interest packet Mitigation techniques Named data networking

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Area of Science:

Computer Science
Network Security

Background:

Named Data Networking (NDN) offers efficient content retrieval via name-based routing and in-network caching.
Existing NDN research primarily focuses on optimizing caching and routing, neglecting security vulnerabilities.
Content Poisoning Attacks (CPA) threaten NDN by corrupting caches and isolating content.

Purpose of the Study:

To address the emerging threat of interest flooding attacks in NDN.
To enhance existing CPA mitigation schemes for improved security and robustness.
To propose a novel security mechanism for NDN.

Main Methods:

Introduced a security mechanism augmenting Name-Key Based Forwarding and Multipath Forwarding Based Inband Probe.
Monitored Cache-Miss Ratio and Queue Capacity at Edge Routers to detect malicious nodes.
Dynamically adjusted the cache-miss ratio threshold based on network conditions.

Main Results:

Successfully mitigated CPA vulnerabilities by detecting and blocking flooding interfaces.
Demonstrated effective defense against interest flooding attacks.
Achieved mitigation with minimal verification overhead at NDN routers.

Conclusions:

The proposed security mechanism enhances the effectiveness and robustness of CPA mitigation in NDN.
Monitoring edge router metrics provides an efficient way to identify and block malicious consumers.
This approach offers a practical solution to a critical NDN security challenge.