Carlo BLUNDO

Prof. Carlo BLUNDO

Dipartimento di Scienze Aziendali, Management e Innovation Systems, Università degli Studi di Salerno, Via Giovanni Paolo II, 132, 84084 Fisciano, SA, Italy
orcid

Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 September 1996 in Information and Computation
Verified
Journal Article
Closed access
GAGiuseppe Ateniese
Giuseppe Ateniese
Carlo BLUNDOCarlo BLUNDO
Carlo BLUNDO
ASAlfredo De Santis
Alfredo De Santis
DSDouglas R. Stinson
Douglas R. Stinson

1 January 2001 in Theoretical Computer Science
Verified
Journal Article
Closed access
GAGiuseppe Ateniese
Giuseppe Ateniese
Carlo BLUNDOCarlo BLUNDO
Carlo BLUNDO
ASAlfredo De Santis
Alfredo De Santis
DSDouglas R. Stinson
Douglas R. Stinson

1 September 1999 in Journal of Cryptology
Verified
Journal Article
Closed access
PDF file
Carlo BLUNDOCarlo BLUNDO
Carlo BLUNDO
ASAlfredo De Santis
Alfredo De Santis
DSDouglas R. Stinson
Douglas R. Stinson

1 November 2000 in Information Processing Letters
Verified
Journal Article
Closed access
Carlo BLUNDOCarlo BLUNDO
Carlo BLUNDO
ASAlfredo De Santis
Alfredo De Santis
MNMoni Naor
Moni Naor

1 October 1998 in Information and Computation
Verified
Journal Article
Closed access
Carlo BLUNDOCarlo BLUNDO
Carlo BLUNDO
ASAlfredo De Santis
Alfredo De Santis
AHAmir Herzberg
Amir Herzberg
SKShay Kutten
Shay Kutten
UVUgo Vaccaro
Ugo Vaccaro
MYMoti Yung
Moti Yung

1 January 2003 in SIAM Journal on Discrete Mathematics
Verified
Journal Article
Closed access
Carlo BLUNDOCarlo BLUNDO
Carlo BLUNDO
PDP. D'Arco
P. D'Arco
ASA. De Santis
A. De Santis
DSD. R. Stinson
D. R. Stinson
A (k,n)-threshold visual cryptography scheme (VCS) is a method to encode a secret image SI into n shadow images called shares such that any k or more shares enable the "visual" recovery of the secret image. However, by inspecting less than k shares one cannot gain any information on the secret image. The "visual" recovery consists of copying the shares onto transparencies and then stacking them. Any k shares will reveal the secret image without any cryptographic computation. In this paper we analyze the contrast of the reconstructed image for a (k,n)-threshold VCS. We define a canonical form for a (k,n)-threshold VCS and provide a characterization of a (k,,n)-threshold VCS. We completely characterize a contrast optimal (n-1,n)-threshold VCS in canonical form. Moreover, for $n\geq 4$, we provide a contrast optimal (3,n)-threshold VCS in canonical form. We first describe a family of (3,n)-threshold VCS achieving various values of contrast and pixel expansion. Then we prove an upper bound on the contrast of any (3,n)-threshold VCS and show that a scheme in the described family has optimal contrast. Finally, for k=4,5 we present two schemes with contrast asymptotically equal to 1/64 and 1/256, respectively.