Security issues in computer networks and stegnography

Saravanan, V.; Neeraja, A.

doi:10.1109/isco.2013.6481180

Cited by 4 publications

(8 citation statements)

References 12 publications

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“…Normally capacity of the Steganography (Saravanan and Neeraja, 2013) will be enhanced by sterilizing additional LSBs of a constituent. For instance rather than ever-changing just 1 LSB of a constituent, if we tend to alter 2 LSBs then the capacity can become double.…”

Section: ( )mentioning

confidence: 99%

“…As discussed by (Saravanan and Neeraja, 2013), nowadays everybody use computer networks and Internet to share resources and to exchange data between the connected nodes. This network will be classified into many sorts by supporting the properties like protocol, topology and design.…”

Section: Security Issues In Computer Networkmentioning

confidence: 99%

“…By doing this the capacity of the steganography process Science Publications JCS will be improved without increasing VD. But, still more bits can be embedded and VD can be improved further by adding the idea proposed by (Saravanan and Neeraja, 2013), with this existing idea. The proposed idea is to examine the blocks in each frame of the video.…”

Section: Regions With Variationsmentioning

confidence: 99%

“…Steganography is an art of hiding secret information in transmission components like text, image, audio, video and animation (Saravanan and Neeraja, 2013;Saravanan et al, 2013;Solanki et al, 2006). Generally, all the transmission components are stored in the storage devices as binary values.…”

Section: Introductionmentioning

confidence: 99%

“…Let us think about a scenario (Saravanan and Neeraja, 2013) that someone "A" needs to send secret information to a different person "B" and also the secret information is "Bring Files on Sunday". This information mustn't be identified by "C" who is knowledgeable in hacking.…”

Section: Introductionmentioning

confidence: 99%

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Human Visual Sensitivity Guided Bit Embedding for Video Steganography

Sridevi¹,

Amudha²,

Babu³

2013

Journal of Computer Science

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While watching a video human visual system gives more attention on the foreground objects than background objects. That is, human vision system pays more attention to the region of interest, such as the human faces in the video content. Most of the video steganography algorithms embed secret information in video by considering every part of the video frames with equal importance. So the capacity of the steganography could not be increased to maintain low visual distortion. The proposed system will detect the foreground and it will allocate different bit rates for different regions. By doing this the visual distortion will be maintained and the capacity can be increased up to 33%.

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Section: ( )mentioning

confidence: 99%

Section: Security Issues In Computer Networkmentioning

confidence: 99%

Section: Regions With Variationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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