FeCBF: A Novel Sub-Optimal Cascaded Bloom Filter Structure Based on Feature Extraction

FeCBF: A Novel Sub-Optimal Cascaded Bloom Filter Structure Based on Feature Extraction

This work presents the Feature extraction Cascaded Bloom Filter (FeCBF), a novel probabilistic data structure formed by cascading multiple Bloom filters in an optimum sequence. The FeCBF’s distinctive design of alternating positive and negative filter layers effectively suppresses False P...

Full description

Bibliographic Details
Main Authors: Quang-Manh Duong, Khoa-Sang Nguyen, Hai-Duong Nguyen, Xuan-Uoc Dao, Anh-Tuan do, Quang-Kien Trinh
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Bloom filter
feature extraction
pattern matching
big-data filter
probabilistic filter
hardware acceleration
Online Access:https://ieeexplore.ieee.org/document/10526248/

Internet

https://ieeexplore.ieee.org/document/10526248/

Similar Items