Creation and Maintenance of MD5 Hash Libraries, and Their Application in Cases of Child Pornography

2011 ◽  
Author(s):  
Alexandre Vrubel
Keyword(s):  
Child Pornography

Preventing child sexual abuse and the use of child abuse images: the Prevention Project Dunkelfeld as an international perspective

2019 ◽  
Vol 1 (1) ◽  
pp. 61-66 ◽  
Author(s):  
Klaus M. Beier
Keyword(s):  
Sexual Abuse ◽  
Child Sexual Abuse ◽  
Sex Offenders ◽  
Mental Health Professionals ◽  
Child Pornography ◽  
Sexual Exploitation ◽  
International Perspective ◽  
The Body ◽  
World Health ◽  
Sexual Offences

Paedophilia—a sexual preference for the body scheme of pre-pubescent children—is defined as a disorder within the International Classification of Diseases (ICD) of the World Health Organization as well as within the Diagnostic and Statistical Manual of Mental Disorders (DSM) of the American Psychiatric Association. Contrary to popular belief, not all sex offenders who target children are paedophiles, and not all paedophiles commit sexual offences. But quite obviously paedophilia is an emotionally charged and controversial topic, which might be an explanation for putting it out of focus within the healthcare system. Mental health professionals are mainly (and worldwide) not well trained in terms of assessment methods and intervention techniques available to develop and implement effective policies and practices. This presents an obstacle for prevention, in that proactive strategies to protect children from child sexual abuse and sexual exploitation by online offences, such as the consumption or distribution of child abusive images (so-called child pornography), which emphasises the internationally relevant dimension of the issue. The article will address key concerns and questions in dealing with this clinically relevant population, offer insights into a primary prevention approach developed in Germany, and discuss the situation on a European level.

COMPARISON OF CYBER CRIME AWARENESS AMONG SCIENCE AND SOCIAL SCIENCE PERSPECTIVE TEACHERS

2017 ◽  
Vol 4 (36) ◽  
Author(s):  
Anupam Bansal
Keyword(s):  
Social Science ◽  
Automatic Control ◽  
Control Systems ◽  
Child Pornography ◽  
Cyber Crime ◽  
Computer Data ◽  
Automatic Control Systems ◽  
Living Things ◽  
Wide Range

“Cyber crime” has been used to describe a wide range of offences, including offences against computer data and systems (such as “Hacking”), computer related forgery and fraud (such as “phishing”), content offences (such as disseminating child pornography), and copyright offences (such as the dissemination of pirated content). The word “Cyber Crime” has been derived from the words “Cybernetic” which means the science of communication and automatic control systems in both machines and living things.

scholarly journals VIPPrint: Validating Synthetic Image Detection and Source Linking Methods on a Large Scale Dataset of Printed Documents

2021 ◽  
Vol 7 (3) ◽  
pp. 50
Author(s):  
Anselmo Ferreira ◽  
Ehsan Nowroozi ◽  
Mauro Barni
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
Child Pornography ◽  
Forensic Analysis ◽  
Synthetic Image ◽  
Image Detection ◽  
Face Images ◽  
Large Scale Dataset ◽  
Scanned Images ◽  
Analysis Of The Images

The possibility of carrying out a meaningful forensic analysis on printed and scanned images plays a major role in many applications. First of all, printed documents are often associated with criminal activities, such as terrorist plans, child pornography, and even fake packages. Additionally, printing and scanning can be used to hide the traces of image manipulation or the synthetic nature of images, since the artifacts commonly found in manipulated and synthetic images are gone after the images are printed and scanned. A problem hindering research in this area is the lack of large scale reference datasets to be used for algorithm development and benchmarking. Motivated by this issue, we present a new dataset composed of a large number of synthetic and natural printed face images. To highlight the difficulties associated with the analysis of the images of the dataset, we carried out an extensive set of experiments comparing several printer attribution methods. We also verified that state-of-the-art methods to distinguish natural and synthetic face images fail when applied to print and scanned images. We envision that the availability of the new dataset and the preliminary experiments we carried out will motivate and facilitate further research in this area.

The association of sexual preference and dynamic risk factors with undetected child pornography offending

2016 ◽  
Vol 23 (1) ◽  
pp. 3-18 ◽  
Author(s):  
L. F. Kuhle ◽  
E. Schlinzig ◽  
G. Kaiser ◽  
T. Amelung ◽  
A. Konrad ◽  
...  
Keyword(s):  
Risk Factors ◽  
Child Pornography ◽  
Sexual Preference ◽  
Dynamic Risk Factors ◽  
Dynamic Risk
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