@Article{cmc.2020.010190,
AUTHOR = {Chu Chu, Zhong Huang, Rui Xu, Guangjun Wen, Lilan Liu},
TITLE = {A Cross Layer Protocol for Fast Identification of Blocked Tags in  Large-Scale RFID Systems},
JOURNAL = {Computers, Materials \& Continua},
VOLUME = {64},
YEAR = {2020},
NUMBER = {3},
PAGES = {1705--1724},
URL = {http://www.techscience.com/cmc/v64n3/39454},
ISSN = {1546-2226},
ABSTRACT = {Blocker tag attack is one of the denial-of-service (DoS) attacks that threatens
the privacy and security of RFID systems. The attacker interferes with the blocked tag by 
simulating a fake tag with the same ID, thus causing a collision of message replies. In 
many practical scenarios, the number of blocked tags may vary, or even be small. For
example, the attacker may only block the important customers or high-value items. To 
avoid the disclosure of privacy and economic losses, it is of great importance to fast 
pinpoint these blocked ones. However, existing works do not take into account the impact 
of the number of blocked tags on the execution time and suffer from incomplete 
identification of blocked tags, long identification time or privacy leakage. To overcome 
these limits, we propose a cross layer blocked tag identification protocol (CLBI). CLBI 
consists of multiple rounds, in which it enables multiple unblocked tags to select one time
slot and concurrently verify them by using tag estimation in physical layer. Benefiting 
from the utilization of most collision slots, the execution time can be greatly reduced. 
Furthermore, for efficient identification of blocked tags under different proportions, we 
propose a hybrid protocol named adaptive cross layer blocked tag identification protocol
(A-CLBI), which estimates the remaining blocked tag in each round and adjusts the
identification strategy accordingly. Extensive simulations show that our protocol 
outperforms state-of-the-art blocked tags identification protocol.},
DOI = {10.32604/cmc.2020.010190}
}