Information Hiding 10th International Workshop IH 2008 Santa Barbara CA USA May 19 21 2008 Revised Selected Papers 1st Edition by Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow ISBN 3540889604 9783540889601 by Takashi Watanabe, Hiroto Nagayoshi, Hiroshi Sako (auth.), Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow (eds.) 9783540889601, 3540889604 instant download after payment.

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ISBN 10: 3540889604 
ISBN 13: 9783540889601
Author: Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow

th It is our great pleasure to present this volume of the proceedings of the 10 edition of Information Hiding (IH 2008). The conference was held in Santa Barbara - the Ame- can Riviera, California, USA, during May 19–21, 2008. It was organized by three Santa Barbarans on fire, from both industry (Mayachitra) and academia (UCSB). Over the years, Information Hiding (IH) has established itself as a premier forum for presenting research covering various aspects of information hiding. Continuing the tradition, this year, we provide a balanced program including topics such as anonymity and privacy, forensics, steganography, watermarking, fingerprinting, other hiding domains, and novel applications. We received a total of 64 papers from all over the globe, and would like to take this opportunity to thank all the authors who submitted their paper to IH 2008 and thus contributed to the consolidation of the reputation of the conference. The papers were refereed by at least three revi- ers who provided detailed comments, which was followed by discussion amongst the Program Committee members. Only 25 papers were selected for presentation. This rigorous review process will certainly strengthen Information Hiding’s po- tion as the top forum of our community.

Information Hiding 10th International Workshop IH 2008 Santa Barbara CA USA May 19 21 2008 Revised Selected Papers 1st Table of contents:

1. Anonymity and Privacy
2. A Display Technique for Preventing Electromagnetic Eavesdropping Using Color Mixture Characteristic
3. Introduction
4. Leakage Model and Test Setup
5. Leakage Source
6. Leakage Model
7. Test Setup
8. Preliminary Test Result
9. Proposed Countermeasure and Test Results
10. Proposed Countermeasure
11. Test Results
12. Conclusion
13. References
14. Hiding a Needle in a Haystack Using Negative Databases
15. Introduction
16. Description
17. Generating a Negative Database
18. Properties
19. The Code
20. Implementation
21. Related Work
22. Discussion
23. References
24. Information Leakage in Optimal Anonymized and Diversified Data
25. Introduction
26. Related Work
27. Background and Notations
28. Generalization
29. $k$-Anonymity
30. $l$-Diversity
31. Utility Function
32. Optimal Generalized Table
33. Information Leakage
34. Formulation of Leakage in k-Anonymized Tables
35. Examples for $k$-Anonymized Table
36. Formulation of Leakage in $l$-Diversified Tables
37. Results for $l$-Diversified Tables
38. Conclusion
39. References
40. Steganography I
41. Perturbation Hiding and the Batch Steganography Problem
42. Introduction
43. The Batch Steganography Problem
44. Kerckhoffs’ Principle in Steganography
45. Notation
46. The Perturbation Hiding Problem
47. Connection with Batch Steganography
48. Solution for Suitably Convex Exponential Families
49. Explorations with Student t-Families
50. Asymptotic Results
51. Conclusions
52. References
53. Maximizing Steganographic Embedding Efficiency by Combining Hamming Codes and Wet Paper Codes
54. Introduction
55. Notation
56. Stego-Code Families
57. Basic Hamming Wet Paper Channel
58. General Framework
59. SCFs of Random Codes
60. Computational Complexity
61. ModifiedSCFs for $pm$1 Steganography
62. Conclusions
63. References
64. Forensics
65. Detecting Re-projected Video
66. Introduction
67. Methods
68. Projective Geometry: Non-planar
69. Projective Geometry: Planar
70. Re-projection
71. Camera Skew
72. Results
73. Simulation (Skew Estimation I)
74. Simulation (Skew Estimation II)
75. Real Video
76. Discussion
77. References
78. Residual Information of Redacted Images Hidden in the Compression Artifacts
79. Introduction
80. Problem Formulation
81. Process of Redaction
82. Goal of the Adversary
83. Proposed Methods
84. First Method - Comparison in the Spatial Domain
85. Second Method - Comparison in the Transformed Domain
86. Experiment
87. Random JPEG Images
88. Random JPEG2000 Images
89. Document Image
90. Mobile Phone Camera Test
91. Counter Measure
92. Conclusion
93. References
94. Novel Technologies/Applications
95. Trusted Integrated Circuits: A Nondestructive Hidden Characteristics Extraction Approach
96. Introduction
97. Related Work
98. Preliminaries
99. Background
100. Flow
101. Nondestructive Extraction of IC Characteristics
102. Formation and Analysis of IDs
103. Robust Coding for IDs
104. Probabilistic Analysis
105. Statistical Analysis
106. Experimental Results
107. Nondestructive Extraction of Chip Characteristics
108. Evaluation of the Collision Probability
109. Conclusions
110. References
111. Reversible Watermarking with Subliminal Channel
112. Introduction
113. Subliminal Channel in RSA-PSS
114. Various Subliminal Channels
115. Tailored Subliminal Channel in RSA-PSS
116. R-S Scheme Using Subliminal Channel
117. R-S Scheme
118. R-S Scheme with Subliminal Channel
119. Analysis of the New Scheme
120. Experimental Results
121. Conclusions
122. References
123. Watermarking I
124. Watermarking Security Incorporating Natural Scene Statistics
125. Introduction
126. The Gaussian Scale Mixture Model and Its Performance
127. Security Analysis of Add-SS Watermarking Based on NSS Model
128. Notation and Mathematical Model
129. Known Message Attack
130. Watermark Only Attack
131. Development of Efficient Attack Algorithm with VB ICA
132. Problem Formulation and Model
133. The Models for Host and Spreading Vector
134. The Generative Model
135. The Development Efficient Attack Algorithm with VB ICA
136. Simulation Results and Analysis
137. Conclusions
138. References
139. Block-Chain Based Fragile Watermarking Scheme with Superior Localization
140. Introduction
141. Block-Chain Based Fragile Watermarking Scheme
142. Block-Chain Generation
143. Watermark Embedding
144. Image Verification
145. Relationship between the Security Strength and the Block Size
146. Experimental Results
147. Conclusion
148. References
149. Steganalysis
150. Generic Adoption of Spatial Steganalysis to Transformed Domain
151. Steganography in JPEG Files
152. Methods
153. Local Correlation
154. Scanning Orders for DCT Coefficients
155. Prior Attacks to Jsteg-Like Embedding
156. Method by Zhang and Ping
157. Method by Yu et al.
158. Attacks Derived from Prior Spatial Domain Methods
159. Preprocessing of Coefficients
160. JRS
161. JPairs
162. JSPA
163. JWS
164. Weighted Nonsteganographic Borders Attack (WB)
165. Results and Discussion
166. Reliability
167. Precision
168. Conclusion and Further Work
169. References
170. Weighted Stego-Image Steganalysis for JPEG Covers
171. Introduction
172. Preliminaries
173. Results for Spatial Domain Steganalysis
174. Improved Local Predictor for JPEG Covers
175. Performance Evaluation
176. Estimation of the JPEG Compression Quality before Embedding
177. Results for Transformed Domain Steganalysis
178. Why WS-Like Detectors Work in the Transformed Domain
179. Performance Evaluation
180. The Role of Weights
181. Lessons Learned and Generalisation
182. Concluding Remarks
183. References
184. Practical Insecurity for Effective Steganalysis
185. Introduction
186. Notations and Definitions
187. Overview of Traditional Models of Security
188. IND-SSA and IND-USA Models
189. Specific Steganalysis
190. Universal Steganalysis
191. Practical Bound on the Insecurity
192. Conclusion
193. References
194. Other hiding Domains I
195. Authorship Proof for Textual Document
196. Introduction
197. Our Contributions
198. Authorship Proof Scheme
199. Functionalities and Security
200. APS Evaluation
201. Related Works
202. Natural Language Watermarking
203. Previous Schemes
204. Proposed Schemes
205. APS2
206. APS3
207. Conclusion
208. References
209. Linguistic Steganography Detection Using Statistical Characteristics of Correlations between Words
210. Introduction
211. Important Notions
212. N-Window Mutual Information (N-WMI)
213. N-Window Variance of Mutual Information (N-WVMI)
214. Partial Average Distance (PAD)
215. Method
216. Results and Discussion
217. Conclusion
218. References
219. Steganography II
220. A Data Mapping Method for Steganography and Its Application to Images
221. Introduction
222. A Data Mapping Method for Steganography
223. LSB+ Algorithm
224. The Generic Method
225. Bounds of Hiding Rate and Perceptual Distortion
226. Image Steganography with the LSB+ Algorithm
227. Evaluation
228. Distortion
229. Hiding Rate
230. The Prevented Steganalytic Algorithms
231. Other Steganalysis Using the High-Order Statistics
232. Conclusion
233. References
234. Benchmarking for Steganography
235. Introduction
236. Steganographic Security and Cover Models
237. Benchmarking Steganographic Schemes
238. Model Selection
239. Stego Images
240. KL Divergence as Benchmark Statistics
241. The kNN Estimator of KL Divergence
242. Maximum Mean Discrepancy (MMD)
243. Reproducing Kernel Hilbert Spaces
244. MMD
245. Analytical Calculation of MMD
246. Experiments
247. Experiments on Artificial Data Sets
248. Benchmarking Steganographic Methods
249. Conclusions
250. References
251. Other Hiding Domains II and Network Security
252. Other Hiding Domains
253. Information Hiding through Variance of the Parametric Orientation Underlying a B-rep Face
254. Introduction
255. Requirements for Digital Watermarking
256. Previous Work on 3D-Watermarking
257. Boundary Representation
258. Method Overview
259. Proposed Scheme
260. Fragile Watermarking
261. Robust Watermarking
262. Testing and Results
263. Discussion
264. Conclusion
265. References
266. A Supraliminal Channel in a Videoconferencing Application
267. Introduction
268. Supraliminal Channels
269. A Two-Image Protocol for Supraliminal Encoding
270. Public Key Encoding
271. Manufacturing a Stego-Friendly Channel
272. Apple iChat
273. Cultural Engineering
274. SoftwareOverview
275. Quartz Composer Animations
276. Receiver Architecture and Implementation Issues
277. Results
278. Discussions and Conclusions
279. References
280. Network Security
281. C-Mix: A Lightweight Anonymous Routing Approach
282. Introduction
283. System and Attack Model
284. Polynomial Interpolation and Secret Sharing
285. Attack Model
286. C-Mix Anonymous Routing Scheme
287. Security, Anonymity, and Performance Analysis
288. Anonymity and Security Analysis of the C-Mix Scheme against Attacks
289. Computational Performance Assessment of C-Mix Based on Experimental Results
290. Communication Performance Analysis of C-Mix
291. Storage Performance Analysis of C-Mix
292. Conclusion
293. References
294. Watermarking II
295. Strengthening QIM-Based Watermarking by Non-uniform Discrete Cosine Transform
296. Introduction
297. Related Work and Existing Problems
298. QIM Based Watermarking and Representative Low-Priced Attacks
299. Existing Key-Controlled Transforms and Their Limitations
300. NDCT and Its Inverse
301. Construction of NDCT
302. INDCT and Its Stable Existence
303. NDCT-QIM Watermarking Scheme
304. Analysis of the Properties
305. Dispersion of Attacking Signal and Watermark Signal
306. Uncertainty of Attacking Energy
307. Variation of Watermark PSDs
308. Practical Security
309. Other Properties
310. Experimental Results
311. Conclusions
312. References
313. Distortion Optimization of Model-Based Secure Embedding Schemes for Data-Hiding
314. Introduction
315. Secure Watermarking Schemes
316. Notations and Definitions
317. Unsecure SS Modulations
318. Secure Modulations
319. A New Secure Embedding Based on the $ chi^2$ Distribution
320. Minimisation of the Embedding Distortion
321. Minimal Cost Perfect Matching in a Bipartite Graph
322. The Hungarian Method for the AP
323. Application for NW and CW Embedding
324. Application for $ chi ^ 2$ Watermarking
325. Experiments
326. Numerical Values and Assessments
327. Distribution Preservation after the Hungarian Method
328. Distortion Minimisation
329. Robustness
330. Conclusion
331. References
332. Fingerprinting
333. On the Design and Optimization of Tardos Probabilistic Fingerprinting Codes
334. In Gabor Tardos’ Shoes
335. A Pedagogical Approach
336. Probabilistic Codes
337. The Marking Assumption and the Four Classes of Collusion
338. The Blind Colluders
339. The Sighted Colluders
340. The Cryptographic Colluders
341. The Omniscient Colluders
342. An Open Issue about Multimedia Fingerprint
343. User $j$ Is an Innocent
344. Expectation of $S_j$
345. Variance of $S_j$
346. Cross-Correlation
347. User $j$ Is a Colluder
348. Variance of $S_j$
349. Expectation of $S_j$
350. Independence from the Collusion Strategy
351. Rediscovering Tardos’ Solution
352. How to Make a Better Choice?
353. Fixed Size of Collusion
354. Unique Collusion Process
355. Conclusion
356. References
357. Iterative Detection Method for CDMA-Based Fingerprinting Scheme
358. Introduction
359. CDMA-Based Fingerprinting
360. Basic Idea
361. Hierarchical Embedding Procedure
362. Detection
363. Proposed Detection Method
364. Modeling
365. Removal Operation
366. Two Kinds of Thresholds
367. Computer Simulated Results
368. Concluding Remarks
369. References
370. Author Index

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Tags: Kaushal Solanki, Kenneth Sullivan, Upamanyu Madhow, Information, International