Computing model may train on a distributed dataset using Medical Applications, which is a distributed computing technique. Instead of a centralised server, the model trains on device data. The server then utilizes this model to train a joint model. The aim of this study is that Medical Applications claims no data is transferred, thereby protecting privacy. Botnet assaults are identified through deep autoencoding and decentralised traffic analytics. Rather than enabling data to be transmitted or relocated off the network edge, the problem of the study is in privacy and security in Medical Applications strategies. Computation will be moved to the edge layer to achieve previously centralised outcomes while boosting data security. Study Results in our suggested model detects anomalies with up to 98 percent accuracy utilizing MAC IP and source/destination/IP for training. Our method beats a traditional centrally controlled system in terms of attack detection accuracy.

Background: Social media provides women with varying platforms to express themselves, show their talents, communicate and expand their social relationships, and break the shackles imposed by their societies. Theoretically, social media can play a significant role in developing women’s freedom and decreasing social pressures; nonetheless, women continue to face violence during the social media era mainly in the form of psychological violence. Objective: This study aims to conduct an empirical in-depth analysis of how the digital space, particularly social media, provides men with new opportunities to surveil, restrict, harass, and intimidate feminists in Arab countries. Methods: This study includes an empirical survey to investigate what Arab women think are the causes and types of violence wielded against them and their perspectives on the impact of that violence. This study used a web-based questionnaire administered through Google Forms (n=1312) with responses from Arab women aged 15 years and above from all Arab countries. Results: We found that most Arab women feared posting an actual photograph of themselves on their social media accounts and only approximately one-third (490/1312, 37.3%) did so. Most women indicated that they encountered sexual harassment regardless of their age. Furthermore, most women were not aware of the legal aspects of this crime and even those who were aware indicated that they would not press charges for several reasons, including bringing dishonor upon their families, the time-consuming nature of litigation, and fear of revenge. Conclusions: This study shows that young and less educated women are more vulnerable to abuse from either social media users or being condemned by their families. This has several effects, including lower self-esteem and hesitancy in seeking a job, feelings of mistrust and fear, cynicism, anxiety, depression, and sleep disorders. These issues hold women back from using social media in positive ways and some consider leaving social media.

This study examines the multifaceted impacts of the ongoing Sudanese war on higher education. A quantitative research approach was used to analyze how Sudan’s ongoing conflict impacts academic continuity, faculty and student displacement, and institutional sustainability, through surveys with Sudanese university professors and displaced students, as well as statistics and reports from the United Nations and international organizations. The findings show that between April 2023 and December 2024, 104 higher education institutions were directly affected, mainly Khartoum and Gezira. The conflict has caused mass displacement of students and faculty, significantly disrupting academic continuity. The study contributes to the growing literature in the field of conflict and education with insights into the issues facing administrators, professors, and students in higher education institutions in conflict zones so that policy responses can be tailored to address the adverse effects of war on higher education and protect education system for the future.

BACKGROUND Social media provides women with varying platforms to express themselves, show their talents, communicate and expand their social relationships, and break the shackles imposed by their societies. Theoretically, social media can play a significant role in developing women’s freedom and decreasing social pressures; nonetheless, women continue to face violence during the social media era mainly in the form of psychological violence. OBJECTIVE This study aims to conduct an empirical in-depth analysis of how the digital space, particularly social media, provides men with new opportunities to surveil, restrict, harass, and intimidate feminists in Arab countries. METHODS This study includes an empirical survey to investigate what Arab women think are the causes and types of violence wielded against them and their perspectives on the impact of that violence. This study used a web-based questionnaire administered through Google Forms (n=1312) with responses from Arab women aged 15 years and above from all Arab countries. RESULTS We found that most Arab women feared posting an actual photograph of themselves on their social media accounts and only approximately one-third (490/1312, 37.3%) did so. Most women indicated that they encountered sexual harassment regardless of their age. Furthermore, most women were not aware of the legal aspects of this crime and even those who were aware indicated that they would not press charges for several reasons, including bringing dishonor upon their families, the time-consuming nature of litigation, and fear of revenge. CONCLUSIONS This study shows that young and less educated women are more vulnerable to abuse from either social media users or being condemned by their families. This has several effects, including lower self-esteem and hesitancy in seeking a job, feelings of mistrust and fear, cynicism, anxiety, depression, and sleep disorders. These issues hold women back from using social media in positive ways and some consider leaving social media.