Camera identification based on sensor noise pattern: a practical procedure for open scenarios

2013 ◽  
Author(s):  
Hermeson Costa ◽  
Ronaldo Zampolo ◽  
Adalbery Castro ◽  
Eurípedes Santos ◽  
Diego Carmo
Keyword(s):  
Sensor Noise ◽  
Noise Pattern ◽  
Practical Procedure ◽  
Camera Identification

scholarly journals ANTI-FORENSICS: COUNTERING SENSOR NOISE CAMERA IDENTIFICATION

2020 ◽  
pp. 45-51
Author(s):  
Nikhith Suvarna
Keyword(s):  
Data Hiding ◽  
Forensic Analysis ◽  
Sensor Noise ◽  
Analysis Techniques ◽  
Camera Identification ◽  
Source Data ◽  
Highly Effective ◽  
Evidence Source ◽  
Noise Signature ◽  
Tools And Techniques

In simple terms, Anti-Forensics can be told as the techniques used to counter forensic analysis done by forensic investigators. This paper mainly focuses on some of the most used anti-forensics techniques along with the challenges the forensics investigator faces. There are many tools and techniques available that when used properly can be highly effective against the forensic analysis techniques. Various tools assist you against various anti-forensics techniques like Elimination of evidence source, Data hiding, and Trail obfuscation. These techniques are used mainly to make the investigation consume more time and money. Sensor Noise Camera Identification is a way to link a photo with the camera the photo was taken from using a noise signature that is unique for every camera. KEYWORDS: Anti-Forensics (AF), Forensic Analysis, Anti-Forensic Techniques, Sensor Noise Camera Identification

scholarly journals Sensor noise camera identification: countering counter-forensics

2010 ◽  
Author(s):  
Miroslav Goljan ◽  
Jessica Fridrich ◽  
Mo Chen
Keyword(s):  
Sensor Noise ◽  
Camera Identification

Camera identification based on very low bit rate videos with overall noise pattern having time varying statistics

2017 ◽  
Vol 77 (1) ◽  
pp. 1299-1322
Author(s):  
Nili Tian ◽  
Bingo Wing-Kuen Ling ◽  
Chunmei Qing ◽  
Zhijing Yang
Keyword(s):  
Time Varying ◽  
Bit Rate ◽  
Noise Pattern ◽  
Low Bit Rate ◽  
Camera Identification

A New AID for Interpolating and Assessing Collision Strengths and Rate Coefficients

1988 ◽  
Vol 102 ◽  
pp. 107-110
Author(s):  
A. Burgess ◽  
H.E. Mason ◽  
J.A. Tully
Keyword(s):  
Significant Loss ◽  
Impact Excitation ◽  
Rate Coefficients ◽  
Electron Impact Excitation ◽  
Graphical Display ◽  
Practical Procedure ◽  
Positive Ions ◽  
Allowed Transition ◽  
Computational Errors ◽  
Existing Data

AbstractA new way of critically assessing and compacting data for electron impact excitation of positive ions is proposed. This method allows one (i) to detect possible printing and computational errors in the published tables, (ii) to interpolate and extrapolate the existing data as a function of energy or temperature, and (iii) to simplify considerably the storage and transfer of data without significant loss of information. Theoretical or experimental collision strengths Ω(E) are scaled and then plotted as functions of the colliding electron energy, the entire range of which is conveniently mapped onto the interval (0,1). For a given transition the scaled Ω can be accurately represented - usually to within a fraction of a percent - by a 5 point least squares spline. Further details are given in (2). Similar techniques enable thermally averaged collision strengths upsilon (T) to be obtained at arbitrary temperatures in the interval 0 < T < ∞. Application of the method is possible by means of an interactive program with graphical display (2). To illustrate this practical procedure we use the program to treat Ω for the optically allowed transition 2s → 2p in ArXVI.

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