Prompt Engineering: Unleashing the Power of Large Language Models to Defend Against Social Engineering Attacks

Ahmed  I. Nezer; Bashar AlEsawi; Wisam Makki Salim

doi:10.52866/ijcsm.2024.05.03.024

Authors

Ahmed Nezer Mustansiriyah University https://orcid.org/0009-0000-6410-3349
Bashar AlEsawi Mustansiriyah University https://orcid.org/0000-0002-2108-5061
Wissam Salim College of Dentistry, Al-Iraqia University https://orcid.org/0009-0000-6998-3912

DOI:

https://doi.org/10.52866/ijcsm.2024.05.03.024

Keywords:

Large Language Models (LLM), chatGPT, Cybersecurity, Social Engineering, Prompt Engineering, Phishing, Natural Language Processing, Human-Computer Interaction, , image processing

Abstract

Prompt Engineering is an emerging area of study that pertains to the act of conceptualizing, perfecting, and executing prompts that guide an AI model to an intended purpose. The AI model is an LLM, which they are the “hit” of our time and probably the controversial type of AI. They are capable of executing several tasks using natural language processing algorithms. Due to their ease of use and fast development, they are becoming highly dependent. We found that to interact correctly with these models and gain the best performance, several techniques should be taken into consideration. Moreover, there are additional methods or tips to write a good prompt.

Downloads

Download data is not yet available.

Author Biographies

Ahmed Nezer, Mustansiriyah University

M.Sc Student

Bashar AlEsawi, Mustansiriyah University

Prof. Bashar Al-Esawi, a respected computer scientist, has 27 years of experience. He earned a B.Sc. in Computer Science from AL-Mansoor University College in 1996. M.Sc. in Artificial Intelligence from the University of Technology, Iraq, in 1999, and a Ph.D. in Information Security from the same university in 2004. Since 2005, he has been actively involved in research and academia in Jordan and Iraq. He held leadership positions, including Dean of the College of Science at Mustansiriyah University (2018-2020) and Quality Assurance Manager (2012-2018). Prof. Al-Esawi's research focuses on information security, AI, machine learning, and natural language processing. He has published papers and presented at international conferences. He is also a highly regarded educator, teaching computer science courses at the undergraduate and graduate levels.