Proposed security model as a Predictive Tool: An approach to monitor network attacks in Pakistan

Volume 19, Issue 1,  2025

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Author(s):

Jawad Hussain Awan* Iqra University, Karachi, Pakistan, awanjawadhussain@gmail.com

Shariq Mehmood Pathan NED UET, Karachi, Pakistan, shariq@neduet.edu.pk

Nisar Ahmed Memon University of Sindh Jamshoro, Pakistan, Nisar.memon@usindh.edu.pk

Shazma Tahseen Liaquat University of Medical & Health Sciences (LUMHS), Jamshoro, Pakistan, Nisar.memon@usindh.edu.pk

Syed Ahmed Ali Iqra University, Karachi, Pakistan, syed.ahmed01@iqra.edu.pk

Abstract The fast progress of ICT and the growing trust on interrelated systems have made organizations prone to cyber-attacks. In states like Pakistan, where numerous organizations are still developing their cybersecurity models, addressing cyber threats in real- time remains an important challenge. This paper proposes a security model for enhancing Cyber Security platforms within Pakistan's ICT sector. This model places a strong emphasis on using predictive techniques to identify, track, and mitigate potential network threats before they do significant harm. The approach attempts to assist enterprises in improving their cybersecurity posture by incorporating threat actor intelligence, network structure, cyber assets, and professional aspirations. We also examine the necessity of national cybersecurity centers that offer ongoing, real-time monitoring and incident response, akin to those seen in developed countries. By integrating security measures into routine business processes, this research seeks to establish a proactive cybersecurity environment that offers a strong defense against changing cyberthreats. Additionally, the study offers a thorough summary of the current cybersecurity knowledge gaps and practical recommendations for putting security tactics into practice.
Keywords Security, Model, Cybersecurity Framework,Cyber, Situational Awareness, and Protection
Year 2025
Volume 19
Issue 1
Type Research paper, manuscript, article
Journal Name Journal of Information & Communication Technology
Publisher Name ILMA University
Jel Classification -
DOI -
ISSN no (E, Electronic) 2075-7239
ISSN no (P, Print) 2415-0169
Country Pakistan
City Karachi
Institution Type University
Journal Type Open Access
Manuscript Processing Blind Peer Reviewed
Format PDF
Paper Link https://jict.ilmauniversity.edu.pk/journal/jict/19.1/6.pdf
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