AI and NLP-Empowered Framework for Strengthening Social Cyber Security
Mudasir Ahmad Wani · Advances in data mining and database management book series · 2023
In this study, a comprehensive framework emerges, interweaving the capabilities of deep learning and NLP. This framework stands as a cornerstone in the pursuit of elevating the safety and security of individuals and organizations navigating the multifaceted realm of social cyberspace. The framework's architecture sets the stage for efficient threat detection and the preemptive identification of vulnerabilities, heralding a new era of cybersecurity strategies. As this conceptual framework unfolds, future endeavors will bridge theory and practice, ushering in the application of this paradigm to real-world data scenarios. The projected outcome of these efforts is the provision of pragmatic security services tailored to individuals and groups. This chapter encapsulates a visionary approach to social cybersecurity, where the synergy of NLP, deep learning, and AI converges to fortify digital landscapes against emergent threats, thereby safeguarding the interconnected fabric of the modern online world.