title: An efficient and anonymous buyer-seller watermarking protocol.
abstract: For the purpose of deterring unauthorized duplication and distribution of multimedia contents, a seller may insert a unique digital watermark into each copy of the multimedia contents to be sold. When an illegal replica is found in the market sometime later, the seller can determine the responsible distributor by examining the watermark embedded. However, the accusation against the charged distributor, who was the buyer in some earlier transaction, is objectionable because the seller also has access to the watermarked copies and, hence, is able to release such a replica on her own. In this paper, a watermarking protocol is proposed to avoid such difficulties, known as the customer's right problem, in the phase of arbitration. The proposed watermarking protocol also provides a fix to Memon and Wong's scheme by solving the unbinding problem. In addition, the buyer is no longer required to contact the watermark certification authority during transactions, and the anonymity of the buyer can be retained through a trusted third party. The result is an efficient and anonymous buyer-seller watermarking protocol.
authors.affiliation: Department of Electrical Engineering, National Taiwan University, Taipei 106, Taiwan, ROC. lei@cc.ee.ntu.edu.tw
authors.forename: Chin-Laung
authors.initials: CL
authors.lastname: Lei
authors.forename: Pei-Ling
authors.initials: PL
authors.lastname: Yu
authors.forename: Pan-Lung
authors.initials: PL
authors.lastname: Tsai
authors.forename: Ming-Hwa
authors.initials: MH
authors.lastname: Chan
mesh_terms: D000465:Algorithms; D003196:Computer Graphics; D016494:Computer Security; D003257:Consumer Product Safety; D019146:Hypermedia; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010330:Patents as Topic; D010363:Pattern Recognition, Automated / Q000379:methods*; D018907:Privacy; D011356:Product Labeling / Q000379:methods; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted