Dr. Abeer Iftikhar | Real Time Data Processing | Best Researcher Award

Bahria University | Pakistan

Dr. Abeer Iftikhar Tahirkheli is a distinguished researcher whose work spans computer science, information security, artificial intelligence, and strategic studies, combining advanced technological innovation with defense and national security applications. Her contributions in cybersecurity and smart city resilience include Securing Edge Based Smart City Networks with Software Defined Networking and Zero Trust Architecture, A Blockchain Based Secure Authentication Technique for Ensuring User Privacy in Edge Based Smart City Networks, and Security Provision by Using Detection and Prevention Methods to Ensure Trust in Edge-Based Smart City Networks, advancing trust, privacy, and secure authentication in digital infrastructures. Her interest in healthcare and societal well-being is reflected in Tri-tier Architecture for AI-Based Healthcare Systems and Predicting COVID-19 Infections Prevalence Using Linear Regression Tool, where AI-driven solutions address medical and epidemiological challenges. She has also mapped risks and counterstrategies through Security, Trust and Privacy Risks, Responses, and Solutions for High-Speed Smart Cities Networks: A Systematic Literature Review, A Survey on Modern Cloud Computing Security over Smart City Networks: Threats, Vulnerabilities, Consequences, Countermeasures, and Challenges, and Future Privacy and Trust Challenges for IoE Networks. Complementing her technical focus, she has contributed to strategic studies with India’s Strategic Force Modernization and Its Implications on Strategic Environment of Pakistan, Kashmir Conflict: The Approach of Humanitarianism, and Enhancing the Efficacy of Nuclear Non-Proliferation Regime: Significance of Pakistan’s NSG Membership, addressing critical geopolitical concerns. Further works such as Artificial Intelligence and Its Prospective Employment in Defence Forces, Contemplating Security Challenges and Threats for Smart Cities, A Novel Framework for Cyber Secure Smart City, and Rafale: A Big Bogeri reflect her ability to integrate technology with policy analysis and strategic foresight. Her research embodies academic rigor and innovation leadership, with impact demonstrated by 241 citations, an h-index of 6, and an i10-index of 3.

Profile: Google Scholar

Featured Publications

• Iftikhar, A., Hussain, F. B., Qureshi, K. N., Shiraz, M., & Sookhak, M. (2025). Securing edge based smart city networks with software defined networking and zero trust architecture. Journal of Network and Computer Applications, 104341.

• Iftikhar, A., & Qureshi, K. N. (2025). Tri-tier architecture for AI-based healthcare systems. In Artificial Intelligence-Based Smart Healthcare Systems (pp. 53–76).

• Iftikhar, A., Qureshi, K. N., Hussain, F. B., Shiraz, M., & Sookhak, M. (2025). A blockchain based secure authentication technique for ensuring user privacy in edge based smart city networks. Journal of Network and Computer Applications, 233, 104052.

• Iftikhar, A., Qureshi, K. N., Shiraz, M., & Albahli, S. (2023). Security, trust and privacy risks, responses, and solutions for high-speed smart cities networks: A systematic literature review. Journal of King Saud University-Computer and Information Sciences, 35(9), 101788.

• Iftikhar, A., Qureshi, K. N., Altalbe, A. A., & Javeed, K. (2023). Security provision by using detection and prevention methods to ensure trust in edge-based smart city networks. IEEE Access, 11, 137529–137547.

• Iftikhar, A., & Qureshi, K. N. (2023). Future privacy and trust challenges for IoE networks. In Cybersecurity Vigilance and Security Engineering of Internet of Everything.

• Tahirkheli, A. I., Shiraz, M., Hayat, B., Idrees, M., Sajid, A., Ullah, R., Ayub, N., … (2021). A survey on modern cloud computing security over smart city networks: Threats, vulnerabilities, consequences, countermeasures, and challenges. Electronics, 10(15), 1811.

• Qureshi, K. N., Iftikhar, A., Bhatti, S. N., Piccialli, F., Giampaolo, F., & Jeon, G. (2020). Trust management and evaluation for edge intelligence in the Internet of Things. Engineering Applications of Artificial Intelligence, 94, 103756.