Title :

The ALASKA Steganalysis Challenge: A First Step Towards Steganalysis "Into The Wild"

Author(s) :

Cogranne, Rémi [Auteur]
Laboratoire Modélisation et Sûreté des Systèmes [LM2S]
Giboulot, Quentin [Auteur]
Laboratoire Modélisation et Sûreté des Systèmes [LM2S]
Bas, Patrick [Auteur]
LAGIS-SI

Conference title :

ACM IH&MMSec (Information Hiding & Multimedia Security)

City :

Paris

Country :

France

Start date of the conference :

2019-07-03

Journal title :

ACM IH&MMSec (Information Hiding & Multimedia Security)

English keyword(s) :

steganography
steganalysis
contest
forensics
Security and privacy

HAL domain(s) :

Sciences de l'ingénieur [physics]/Traitement du signal et de l'image [eess.SP]
Informatique [cs]/Traitement des images [eess.IV]

English abstract : [en]

This paper presents ins and outs of the ALASKA challenge, a ste-ganalysis challenge built to reflect the constraints of a forensic steganalyst. We motivate and explain the main differences w.r.t. the BOSS challenge (2010), ...
Show more >This paper presents ins and outs of the ALASKA challenge, a ste-ganalysis challenge built to reflect the constraints of a forensic steganalyst. We motivate and explain the main differences w.r.t. the BOSS challenge (2010), specifically the use of a ranking metric prescribing high false positive rates, the analysis of a large diversity of different image sources and the use of a collection of steganographic schemes adapted to handle color JPEGs. The core of the challenge is also described, this includes the RAW image data-set, the implementations used to generate cover images and the specificities of the embedding schemes. The very first outcomes of the challenge are then presented, and the impacts of different parameters such as demosaicking, filtering, image size, JPEG quality factors and cover-source mismatch are analyzed. Eventually, conclusions are presented, highlighting positive and negative points together with future directions for the next challenges in practical steganalysis.Show less >

Language :

Anglais

Peer reviewed article :

Oui

Audience :

Internationale

Popular science :

Non

ANR Project :

Utilisation de grandes bases d'images hétérogènes en stéganalyse pour se rapprocher d'un contexte opérationnel

Collections :

• Centre de Recherche en Informatique, Signal et Automatique de Lille (CRIStAL) - UMR 9189

Source :

Harvested from HAL