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DESCRIPTION:   'Title: Positive Identification of Least Significant Bit Ima
 ge\n   Steganography\n   When: Friday\, Aug 12\, 11:00 - 11:30 PDT\n   Whe
 re: Flamingo - Sunset-Vista Ballroom (Crypto Privacy Village) - [1]Map\n\n
    SpeakerBio:Michael Pelosi\n   Michael Pelosi is associate professor of 
 computer science at Texas A&M\n   University Texarkana. His research publi
 cations include artificial\n   intelligence\, computer security\, steganog
 raphy and\n   counter-steganography applications.\n\n   Description:\n   S
 teganography has long been used to counter forensic investigation.\n   Thi
 s use of steganography as an anti-forensics technique is becoming\n   more
  widespread. This requires forensic examiners to have additional\n   tools
  to more effectively detect steganography. In this talk we\n   introduce a
  new software concept specifically designed to allow the\n   digital foren
 sics professional to clearly identify and attribute\n   instances of least
  significant bit (LSB) image steganography by using\n   the original cover
  image in side-by-side comparison with a suspected\n   steganographic payl
 oad image. This technique is embodied in a software\n   implementation nam
 ed CounterSteg.\n\n   The CounterSteg software allows detailed analysis an
 d comparison of\n   both the original cover image and any modified image\,
  using\n   sophisticated bit- and color-channel visual depiction graphics.
  In\n   certain cases\, the steganographic software used for message\n   t
 ransmission can be identified by the forensic analysis of LSB and\n   othe
 r changes in the payload image. This paper demonstrates usage and\n   typi
 cal forensic analysis with eight commonly available steganographic\n   pro
 grams.\n\n   Future work will attempt to automate the typical types of ana
 lysis and\n   detection. This is important\, as currently there is a steep
  rise in\n   the use of image LSB steganographic techniques to hide the pa
 yload\n   code used by malware and viruses\, and for the purposes of data\
 n   exfiltration. This results because of the fact that the hidden code\n 
   and/or data can more easily bypass virus and malware signature\n   detec
 tion in such a manner as being surreptitiously hidden in an\n   otherwise 
 innocuous image file.\n\n   '\n\n   1. https://defcon.outel.org/consolidat
 ed_page.html#FlamingoThirdFloor\n\n\n
DTEND:20220812T183000Z
DTSTART:20220812T180000Z
LOCATION:CPV - Flamingo - Sunset-Vista Ballroom  (Crypto Privacy Village)
SUMMARY:Positive Identification of Least Significant Bit Image Steganograph
 y
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