Computer Science Responses to Abuse Toward Women and Children

Worldwide public health concerns include violence towards women as well as children. One in three women globally, according to estimates, has been the victim of physical, emotional, or sexual abuse. Like adults, one in two children experiences some type of violence every year, including bullying and domestic abuse. Women and children are increasingly more susceptible to additional forms of abuse including cyberbullying or emotional harassment because of the extensive use of the Internet and social media. In recent years, computer science and associated technologies have been used to assist address this societal issue. Solutions to identify and stop violence against women and children have been developed using cloud computing, pattern recognition, mobile computing, ubiquitous artificial intelligence, as well as associated systems. This study presents a comprehensive evaluation of some of the initiatives that might assist in addressing the issue of violence against children and women. The present state of these contributions is discussed in this study along with trends, designs, technologies, and open issues. A review of the scholarly literature from 2010 to 2020 was used to produce the survey. The contributions were categorized into four application domains: education, safety, offline detection, and online detection. Digital simulation, the Internet of Things, and artificial intelligence were employed as additional categories to further divide these contributions.