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arXiv · 2503.11777

Enhancing Resiliency of Sketch-based Security via LSB Sharing-based Dynamic Late Merging

Seungsam Yang·Seyed Mohammad Mehdi Mirnajafizadeh·Sian Kim·Rhongho Jang·DaeHun Nyang
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Abstract

With the exponentially growing Internet traffic, sketch data structure with a probabilistic algorithm has been expected to be an alternative solution for non-compromised (non-selective) security monitoring. While facilitating counting within a confined memory space, the sketch's memory efficiency and accuracy were further pushed to their limit through finer-grained and dynamic control of constrained memory space to adapt to the data stream's inherent skewness (i.e., Zipf distribution), namely small counters with extensions. In this paper, we unveil a vulnerable factor of the small counter design by introducing a new sketch-oriented attack, which threatens a stream of state-of-the-art sketches and their security applications. With the root cause analyses, we propose Siamese Counter with enhanced adversarial resiliency and verified feasibility with extensive experimental and theoretical analyses. Under a sketch pollution attack, Siamese Counter delivers 47% accurate results than a state-of-the-art scheme, and demonstrates up to 82% more accurate estimation under normal measurement scenarios.

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Seungsam Yang, Seyed Mohammad Mehdi Mirnajafizadeh, Sian Kim, Rhongho Jang, DaeHun Nyang. 2025-03-14. Enhancing Resiliency of Sketch-based Security via LSB Sharing-based Dynamic Late Merging. https://arxiv.org/abs/2503.11777

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