Cybersecurity measures have long been manipulated, bypassed, and broken. This malpractice points to a facet of human error and innocence, one that is exploited through social engineering. This systematic review highlights the complex and intertwined relationship between the development of new social engineering techniques and the introduction of novel cybersecurity measures. This paper summarizes the history of social engineering, the implications of social engineering, and the use of social engineering to identify preventative solutions to breaches in cybersecurity. This review utilizes common practices, theoretical thinking, and case studies to provide a complete picture of the aforementioned topics. More research must be done and more discussion should take place to determine the future of social engineering’s role in the field of cybersecurity.

This paper aims to cover and summarize research on the topic of data augmentation in cybersecurity. By exploring its use in various areas of the field, we hope to highlight the benefits of using data augmentation. To analyze a wide range of data, we opted for a systematic review.  This paper covers data augmentation in image, text, audio, and hybrid data sets as well as the different augmentation techniques.