Analysis of Recent Attacks based on Social Engineering Techniques
This work addresses the need for improved threat management in cybersecurity, but it appears incremental as it builds on existing research without introducing new methods or data.
The paper tackles the problem of identifying and controlling social engineering threats by proposing a classification of attack types, assessing their potential harm, and suggesting countermeasures to protect confidential information.
This paper attempts to strengthen the pursued research on social engineering (SE) threat identification, and control, by means of the author's illustrated classification, which includes attack types, determining the degree of possible harm to each types of possible, known attacks, countermeasures by types of threats that leads to loss of personal or corporate confidential information (user id, passwords, closed documentation). Further, this analytical study will become the starting point for deeper, practically oriented and tested research.