The Role of Internet Pornography Use and Cyber Infidelity in the Associations between Personality, Attachment, and Couple and Sexual Satisfaction

Although adults in romantic relationships currently show more openness to online sexual behaviors [1], these behaviors can nevertheless increase couple conflicts and instability [2]. In the current study, we assess the mediating role of Internet pornography use and cyber infidelity in the relationship between 1) personality and attachment, and 2) couple and sexual satisfaction. A total of 779 participants in couple relationships (average age = 29.9 years) completed a series of online questionnaires. According to their responses, 65% of participants visited an adult site at least once during the six months preceding the study, while 16.3% did so multiple times per week. Path model results showed that Internet pornography use and cyber infidelity were sequential mediators between, on the one hand, personality and attachment, and on the other hand, couple and sexual satisfaction. The discussion highlights the importance of properly documenting the correlates of online sexual behavior to better understand new couple realities and dynamics.

Effects of Motivation and Demography on the Quantitative Plausibility of the Trojan Horse Defence Against Possession of Child Pornography

The Enhanced Complexity Model( ECM) developed previously has been further extended to produce a Motivationally Enhanced Complexity Model( MECM) which enables the degree of motivation,capability and opportunity of a hypothetical Trojan Horse author to be included in quantifying the relative plausibility of competing explanations for the existence of uncontested digital evidence.This new model has been applied to the case of the Trojan Horse defence( THD) against the possession of child pornography.Our results demonstrate that the THD in this case cannot be plausibly sustained unless it can be shown that an ‘off-theshelf'( OTS) Trojan Horse for this task is available and it is not detectable by the target computer,at the material time.

Performance Analysis of Intelligent Neural-Based Deep Learning System on Rank Images Classification

The use of the internet is increasing all over the world on a daily basis in the last two decades.The increase in the internet causes many sexual crimes,such as sexual misuse,domestic violence,and child pornography.Various research has been done for pornographic image detection and classification.Most of the used models used machine learning techniques and deep learning models which show less accuracy,while the deep learning model ware used for classification and detection performed better as compared to machine learning.Therefore,this research evaluates the performance analysis of intelligent neural-based deep learning models which are based on Convolution neural network(CNN),Visual geometry group(VGG-16),VGG-14,and Residual Network(ResNet-50)with the expanded dataset,trained using transfer learning approaches applied in the fully connected layer for datasets to classify rank(Pornographic vs.Nonpornographic)classification in images.The simulation result shows that VGG-16 performed better than the used model in this study without augmented data.The VGG-16 model with augmented data reached a training and validation accuracy of 0.97,0.94 with a loss of 0.070,0.16.The precision,recall,and f-measure values for explicit and non-explicit images are(0.94,0.94,0.94)and(0.94,0.94,0.94).Similarly,The VGG-14 model with augmented data reached a training and validation accuracy of 0.98,0.96 with a loss of 0.059,0.11.The f-measure,recall,and precision values for explicit and non-explicit images are(0.98,0.98,0.98)and(0.98,0.98,0.98).The CNN model with augmented data reached a training and validation accuracy of 0.776&0.78 with losses of 0.48&0.46.The f-measure,recall,and precision values for explicit and non-explicit images are(0.80,0.80,0.80)and(0.78,0.79,0.78).The ResNet-50 model with expanded data reached with training accuracy of 0.89 with a loss of 0.389 and 0.86 of validation accuracy and a loss of 0.47.The f-measure,recall,and precision values for explicit and non-explicit images are(0.86,0.97,0.91)and(0.86,0.93,0.89).Where else without augmented data the VGG-16 model reached a training and validation accuracy of 0.997,0.986 with a loss of 0.008,0.056.The f-measure,recall,and precision values for explicit and non-explicit images are(0.94,0.99,0.97)and(0.99,0.93,0.96)which outperforms the used models with the augmented dataset in this study.

Presenting a Treatment Concept for People with a Self-Reported Sexual Interest in Children in an Outpatient Setting

Results of several studies point to an increase in reported child sexual abuse offences in Germany and an even higher number of undetected cases are assumed. In addition, even more cases regarding the distribution of child pornography have been reported. On behalf of victims of child sexual abuse and for the general public, a preventive treatment approach for people with a sexual interest in children is of prime importance. Currently, there is no published, evaluated therapeutic approach for treating potential offenders, dark field offenders and bright field offenders with a sexual interest in children in an outpatient setting. We designed a cognitive-behavioral therapeutic approach that integrated need- and resource-oriented concepts for the specific treatment of those people. This treatment program comprises thirteen modules and is established for a period of about one and a half years. The therapy concept is presented in detail and we report experiences with two male clients. We found a reduction of child abusive behavior (on- and off-line), cognitive distortions and subjective psychological distress, an increase of the extent of self-perceived sexual self-regulation, life satisfaction and self-efficacy in general and a high level of clients’ satisfaction with the therapy concept. The present therapy concept shows promising results as a potential viable treatment program to protect children by reaching out to people with a self-reported sexual interest in children in an outpatient setting, but further research is necessary.

Intruders:Gay Explicit Sex in Queer Movies

The aim is to analyze the use of sexually explicit material in queer movies,particularly in the short film“Intruders”.The movie takes place amid political upheaval in Brazil and brings an intersection among class,privilege and sex.The main argument indicates that many queer movies face the ongoing political normalization of same-sex desires in the society and bring alternative forms of relationality,which may be framed by the location where they develop and characterized by the fluidity of the relationships among the characters.The explicit sex aims to examine alternative forms of relationality,which question the normalization of specific actions and sexual behaviors.Based on a different perspective from the traditional pornography,“Intruders”understands sex as a political act,so that it is neither the consumption of bodies,nor the pursuit of desire at any cost,but the construction of new possibilities of relationships.

An approach to quantifying the plausibility of the inadvertent download defence

A table of 95%confidence limits on the probabilities for randomly downloading relatively small numbers of illegal images or sensitive documents amongst a relatively large number of other images or documents has been computed.It is anticipated that these data will assist prosecution officials in arriving at a decision as to whether or not there is a reasonable likelihood of a successful criminal prosecution when the inadvertent download defence is employed in cases of possession of child pornography,terrorist material or espionage-related documents.The same data can also be used by defence counsels to assess the strength of the prosecution’s case.