Search results

Violence against women and girls is globally prevalent. Overcoming it is a prerequisite for attaining gender equality and achieving sustainable development. The United Nation's 2030 Agenda for Sustainable Development considers technology as a means to combat violence against women and girls, and there is ample evidence on the positive impact of technology in combating violence. At the same time, however, technology can promote and perpetrate new forms of violence. Research shows that more than 70% of women and girls online are exposed to forms of cyber violence. Most of these cases remain unreported.

This chapter argues that technology contributes to increasing cyber violence against women and girls which in turn leads to severe social and economic implications affecting them. It also argues that legislative and policy reforms can limit this type of violence while enabling women and girls to leverage technology for empowerment. It highlights cases of cyber violence in the Arab region and provides an overview of applicable legislative frameworks. The chapter concludes with recommended policy reforms and measures to strengthen and harmonize efforts to combat cyber violence against women and girls in the Arab region.

This study aims to investigate the feasibility of employing a multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation. The formulated objectives are the minimisation of the total allocation cost of the anti-fraud capacities and the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots.

From the literature survey conducted and primary qualitative data gathered from the 17 licenced banks in South Africa on fraud investigators, the suggested fraud investigators are the organisation’s finance department, the internal audit committee, the external risk manager, accountants and forensic accountants. These five human resource capacities were considered for the formulation of the multi-objectives integer programming (MOIP) model. The MOIP model is employed for the optimisation of the employed capacities for cyberfraud mitigation to ensure the effective allocation and utilisation of human resources. Thus, the MOIP model is validated by a genetic algorithm (GA) solver to obtain the Pareto-optimum solution without the violation of the identified constraints.

The formulated objective functions are optimised simultaneously. The Pareto front for the two objectives of the MOIP model comprises the set of optimal solutions, which are not dominated by any other feasible solution. These are the feasible choices, which indicate the suitability of the MOIP to achieve the set objectives.

The results obtained indicate the feasibility of simultaneously achieving the minimisation of the total allocation cost of the anti-fraud capacities, or the maximisation of the forensic accounting capacities in all cyberfraud incident prone spots – or the trade-off between them, if they cannot be reached simultaneously. This study recommends the use of an iterative MOIP framework for decision-makers which may aid decision-making with respect to the allocation and utilisation of human resources.

The originality of this work lies in the development of multi-objectives integer-programming model for effective allocation of resources for cyberfraud mitigation.

Technology-facilitated violence and abuse including image-based sexual abuse (IBSA) is a phenomenon affecting women and girls around the world. Abusers misuse technology to attack victims and threaten their safety, privacy, and dignity. This abuse is gendered and a form of domestic and sexual violence. In this article, the authors compare criminal law approaches to tackling IBSA in Scotland and Malawi. We critically analyze the legislative landscape in both countries, with a view to assessing the potential for victims to seek and obtain redress for IBSA. We assess the role criminal law has to play in each jurisdiction while acknowledging the limits of criminal law alone in terms of providing redress.