N. Provos, "Defending Against Statistical Steganalysis", 10th USENIX Security Symposium. Washington, DC, August 2001.  Home/Search Document Details and Download
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Detecting Hidden Messages Using Higher-Order Statistics and.. - Lyu, Farid (2002) (1 citation) (Correct)
....Jsteg and OutGuess are transform based systems that embed messages by modulating the DCT coefficients. Unique to OutGuess is a technique for embedding into only one half of the redundant bits and then using the remaining redundant bits to preserve the first order distribution of DCT coe#cients [16]. Messages are embedded into GIF images using EzStego which modulates the least significant bits of the sorted color palette index. Messages are embedded into the TIFF images using a generic LSB embedding that modulates the least significant bit of a random subset of the pixel intensities. In ....
N. Provos. Defending against statistical steganalysis. In 10th USENIX Security Symposium, Washington, DC, 2001.
Thwarting Web Censorship with Untrusted Messenger.. - Feamster, Balazinska.. (2003) (4 citations) (Correct)
....In this case, the responder can use the same key to encrypt and steganographically embed the content. However, because the messenger is not necessarily a trusted entity (i.e. it could in fact be Technically, encryption of the content to be hidden is a part of the steganographic embedding [10], but we mention both operations separately for clarity. a malicious node) the responder must rst separately encrypt the requested content under a key that is unknown to the messenger. However, the messenger must steganographically embed the requested content in its own visible HTTP responses, ....
N. Provos. Defending against statistical steganalysis. In Proceedings of the 10th USENIX Security Symposium, Washington, D.C., August 2001.
Best Practices for Secure Development - Peteanu (2001) (Correct)
....is revealed. Also, steganographic communication is potentially vulnerable to traffic analysis (it is suspect if two parties suddenly exchange many pictures and MP3s) and there are mathematical attacks designed to identify whether a communication contains hidden messages (see [Honeyman2001] [Provos2001]) Thus encryption becomes necessary and, except for specialized applications where the covert communication is needed (intelligence agencies or watermarking of digital art works) most readers will find encryption suitable for their needs. 5.4 Integrity Integrity plays an important role in ....
Niels Provos, Defending Against Statistical Steganalysis,
Attacking the OutGuess - Fridrich, Goljan, Hogea (2002) (2 citations) (Correct)
....most common format for storing image data. It is also supported by virtually all software applications that allow viewing and working with digital images. Recently, several steganographic techniques for data hiding in JPEGs have been developed: J Steg [1] JP Hide Seek [1] F5 [2] and OutGuess [3]. In all programs, message bits are embedded by manipulating the quantized DCT coefficients. JSteg and OutGuess embed message bits into the LSBs of quantized DCT coefficients. J Steg with sequential message embedding is detectable using the chi square attack [4] J Steg with random straddling as ....
....our attention to the measure of discontinuities along the boundaries of 8x8 pixel blocks. Also, we utilize the fact that the embedding process and the correction step are simple LSB flipping operations. 3. BREAKING OUTGUESS The OutGuess steganographic algorithm was proposed by Neils Provos [3] to counter the statistical chi square attack [4] In the first pass, similar to J Steg, OutGuess embeds message bits along a random walk into the LSBs of coefficients while skipping O s and l s. After embedding, the image is processed again using a second pass. This time, corrections are made to ....
Provos, N. Defending Against Statistical Steganalysis. Proc. 10th USENIX Security Symposium. Washington, DC, 2001
Infranet: Circumventing Web Censorship and Surveillance - Feamster, Balazinska.. (2002) (9 citations) (Correct)
....the shared secret SKEY as a seed to a pseudorandom number generator that determines which subset of these bits will contain the message. Therefore, without knowing the secret key, an adversary cannot determine which bits hold information. Previous work describes this process in greater detail [17]. Steganography is designed to hide a message in a cover image, where the adversary does not have access to the original cover and thus cannot detect the presence of a hidden message. However, because a Web server typically serves the same content to many different users (and even to the same ....
N. Provos. Defending against statistical steganalysis. In Proc. 10th USENIX Security Symposium, Washington, D.C., August 2001.
Detecting Steganographic Content on the Internet - Provos, Honeyman (2001) (15 citations) Self-citation (Provos) (Correct)
....bits to be replaced with data from a secret message. The stego medium is created by replacing the selected redundant bits with message bits. The modi cation of redundant bits can change the statistical properties of the cover medium. As a result, statistical analysis may reveal the hidden content [3, 15, 20]. In Section 4, we explain this in detail. 3 Information Hiding in JPEG Images JPEG images are commonly used on Internet web sites. This section brie y explains the JPEG format and how it can be used for information hiding. The JPEG image format uses a discrete cosine transform (DCT) to ....
....probability is not as high as with JSteg. 5.3 Outguess OutGuess is a steganographic system available as UNIX source code. There are two released versions: OutGuess 0.13b, which is vulnerable to statistical analysis, and OutGuess 0. 2, which includes the ability to preserve statistical properties [15] and can not be detected by the statistical tests used in this paper. OutGuess is di erent from the systems described in the previous sections in that its chooses the DCT coef cients with a pseudo random number generator. A user supplied pass phrase initializes a stream cipher and a ....
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Niels Provos. Defending Against Statistical Steganalysis. In Proceedings of the 10th USENIX Security Symposium, pages 323-335, August 2001.
Detecting Steganographic Content on the Internet - Provos, Honeyman (2001) (15 citations) Self-citation (Provos) (Correct)
....bits to be replaced with data from a secret message. The stego medium is created by replacing the selected redundant bits with message bits. The modi cation of redundant bits can change the statistical properties of the cover medium. As a result, statistical analysis may reveal the hidden content [11, 16]. In Section 4, we explain in detail how this is possible. 3 Information Hiding in JPEG Images JPEG images [15] are commonly used on Internet web sites. This section brie y explains the JPEG format and how it can be used for information hiding. The JPEG image format uses a discrete cosine ....
....probability is not as high as with JSteg. 5.3 Outguess OutGuess is a steganographic system available as UNIX source code. There are two released versions: OutGuess 0.13b, which is vulnerable to statistical analysis, and OutGuess 0. 2, which includes the ability to preserve statistical properties [11] and can not be detected by the statistical tests used in this paper. OutGuess is di erent from the systems described in the previous sections in that its chooses the DCT coe cients with a pseudo random number generator. A user supplied pass phrase initializes a stream cipher and a pseudo random ....
[Article contains additional citation context not shown here]
Niels Provos. Defending Against Statistical Steganalysis. In Proceedings of the 10th USENIX Security Symposium, pages 323-335, August 2001.
Towards Eliminating Steganographic Communication - Anthony Whitehead Carleton (2005) (Correct)
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Locating Secret Messages in Images - Davidson, Paul (2004) (Correct)
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LLRT Based Detection of LSB Hiding - Sullivan, Dabeer, Madhow.. (2003) (Correct)
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N. Provos, "Defending against statistical steganalysis, " in In 10th USENIX Security Symposium, Washington
Hydan: Hiding Information in Program Binaries - El-Khalil, Keromytis (Correct)
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Provos, N.: Defending Against Statistical Steganalysis. In: Proceedings of the 10th USENIX Security Symposium. (2001)
LLRT Based Detection of LSB Hiding - Sullivan, Dabeer, Madhow.. (2003) (Correct)
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N. Provos, "Defending against statistical steganalysis, " in In 10th USENIX Security Symposium, Washington
Hide and Seek: Introduction to Steganography - Provos, al. (2003) (1 citation) (Correct)
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N. Provos, "Defending Against Statistical Steganalysis," Proc. 10th Usenix Security Symp., Usenix Assoc., 2001, pp. 323--335.
Detecting Hidden Messages Using Higher-Order Statistical.. - Hany Farid Department (2002) (5 citations) (Correct)
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N. Provos. Defending against statistical steganalysis. In 10th USENIX Security Symposium, Washington, DC, 2001.
Detecting Steganographic Messages in Digital Images - Farid (8 citations) (Correct)
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N. Provos. Defending against statistical steganalysis. In 10th USENIX Security Symposium, Washington, DC, 2001.
Implementation and Security Analysis of the Infranet.. - Wang (2003) (1 citation) (Correct)
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Niels Provos. Defending against statistical steganalysis. Proceedings of the 10th USENIX Security Symposium, August 2001.
A Communications Approach to Image Steganography - Eggers, Bäuml, Girod (2002) (3 citations) (Correct)
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N. Provos, "Defending against statistical steganalysis," in loth USENIX Security Symposium, (Washington DC, USA), August 2001.
A Communications Approach to Image Steganography - Eggers, Bäuml, Girod (2002) (3 citations) (Correct)
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N. Provos, "Defending against statistical steganalysis," tech. rep., Center for Information Technology Integration, University of Michigan, 2001. CITI Techreport 01-4.
Practical Steganalysis of Digital Images - State of the Art - Fridrich, Goljan (2002) (9 citations) (Correct)
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N. Provos, "Defending Against Statistical Steganalysis", loth USENLYSecurity Symposium, Washington, DC, 2001.
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