title: A Novel Multilayered RFID Tagged Cargo Integrity Assurance Scheme.
abstract: To minimize cargo theft during transport, mobile radio frequency identification (RFID) grouping proof methods are generally employed to ensure the integrity of entire cargo loads. However, conventional grouping proofs cannot simultaneously generate grouping proofs for a specific group of RFID tags. The most serious problem of these methods is that nonexistent tags are included in the grouping proofs because of the considerable amount of time it takes to scan a high number of tags. Thus, applying grouping proof methods in the current logistics industry is difficult. To solve this problem, this paper proposes a method for generating multilayered offline grouping proofs. The proposed method provides tag anonymity; moreover, resolving disputes between recipients and transporters over the integrity of cargo deliveries can be expedited by generating grouping proofs and automatically authenticating the consistency between the receipt proof and pick proof. The proposed method can also protect against replay attacks, multi-session attacks, and concurrency attacks. Finally, experimental results verify that, compared with other methods for generating grouping proofs, the proposed method can efficiently generate offline grouping proofs involving several parties in a supply chain using mobile RFID.
authors.affiliation: Chung Yuan Christian University, Chung Pei Road, Chung Li District, Taoyuan 32023, Taiwan. mhyang@cycu.edu.tw.
authors.forename: Ming Hour
authors.initials: MH
authors.lastname: Yang
authors.affiliation: Ming Chuan University, Deming Road, Guishan District, Taoyuan 33348, Taiwan,. deer@mail.mcu.edu.tw.
authors.forename: Jia Ning
authors.initials: JN
authors.lastname: Luo
authors.affiliation: Chung Yuan Christian University, Chung Pei Road, Chung Li District, Taoyuan 32023, Taiwan. lumosac@gmail.com.
authors.forename: Shao Yong
authors.initials: SY
authors.lastname: Lu
keywords: anonymity; concurrency attacks; multi-session attacks; multilayered grouping proof; radio-frequency identification; supply chain management