Yulin Yao, Kangfeng Zheng, Bin Wu^*, Chunhua Wu, Jiaqi Gao, Jvjie Wang, Minjiao Yang

CMC-Computers, Materials & Continua, Vol.85, No.3, pp. 4753-4776, 2025, DOI:10.32604/cmc.2025.065059 - 23 October 2025

Abstract Cognitive biases are commonly used by attackers to manipulate users’ psychology in phishing emails. This study systematically analyzes the exploitation of cognitive biases in phishing emails and addresses the following questions: (1) Which cognitive biases are frequently exploited in phishing emails? (2) How are cognitive biases exploited in phishing emails? (3) How effective are cognitive bias features in detecting phishing emails? (4) How can the exploitation of cognitive biases in phishing emails be modelled? To address these questions, this study constructed a cognitive processing model that explains how attackers manipulate users by leveraging cognitive biases More >

Yuchen Ye^1,3, Dadi Wu², Jiahu Hao^1,2,*

International Journal of Mental Health Promotion, Vol.26, No.12, pp. 1009-1016, 2024, DOI:10.32604/ijmhp.2024.056235 - 31 December 2024

Abstract Objective: In recent years, psychological problems in pregnant women have become an important public health problem. Depression is a common psychological problem during pregnancy. At present, most studies focus on prenatal depression in pregnant women, and there is a lack of relevant studies on prenatal negative cognition and its relationship with depression. This study aims to examine the relationship between depression and negative cognitive bias in women in late pregnancy and identify the influencing factors. Methods: A total of 829 women in late pregnancy were recruited from a tertiary hospital between April 2023 and October… More >

Muhammad Hasnain¹, Imran Ghani², Seung Ryul Jeong^3,*, Muhammad Fermi Pasha⁴, Sardar Usman⁵, Anjum Abbas⁶

CMC-Computers, Materials & Continua, Vol.74, No.1, pp. 783-799, 2023, DOI:10.32604/cmc.2023.030162 - 22 September 2022

Abstract Forecasting on success or failure of software has become an interesting and, in fact, an essential task in the software development industry. In order to explore the latest data on successes and failures, this research focused on certain questions such as is early phase of the software development life cycle better than later phases in predicting software success and avoiding high rework? What human factors contribute to success or failure of a software? What software practices are used by the industry practitioners to achieve high quality of software in their day-to-day work? In order to… More >