YETI on the Cloud. - Manuel Oriol; Faheem Ullah (ICST Workshops, 2010)

Profiling for detecting performance anomalies in concurrent software. - Faheem Ullah; Thomas R. Gross (SEPS@SPLASH, 2015)

Detecting Anomalies in Concurrent Programs Based on Dynamic Control Flow Changes. - Faheem Ullah; Thomas R. Gross (IPDPS Workshops, 2016)

Finding the needle in a haystack: Chasing rarely occurring bugs in concurrent software. - Faheem Ullah (2016)

Security Support in Continuous Deployment Pipeline. - Faheem Ullah; Adam Johannes Raft; Mojtaba Shahin; Mansooreh Zahedi; Muhammad Ali Babar 001 (ENASE, 2017)

Architectural Tactics for Big Data Cybersecurity Analytic Systems: A Review. - Faheem Ullah; Muhammad Ali Babar 001 (CoRR, 2018)

Data exfiltration: A review of external attack vectors and countermeasures. - Faheem Ullah; Matthew Edwards 001; Rajiv Ramdhany; Ruzanna Chitchyan; Muhammad Ali Babar 001; Awais Rashid (J. Netw. Comput. Appl., 2018)

QuickAdapt: Scalable Adaptation for Big Data Cyber Security Analytics. - Faheem Ullah; Muhammad Ali Babar 001 (ICECCS, 2019)

An Architecture-Driven Adaptation Approach for Big Data Cyber Security Analytics. - Faheem Ullah; Muhammad Ali Babar 001 (ICSA, 2019)

Quantifying the Impact of Design Strategies for Big Data Cyber Security Analytics: An Empirical Investigation. - Faheem Ullah; Muhammad Ali Babar 001 (PDCAT, 2019)

Architectural Tactics for Big Data Cybersecurity Analytics Systems: A Review. - Faheem Ullah; Muhammad Ali Babar 001 (J. Syst. Softw., 2019)

Machine Learning for Detecting Data Exfiltration. - Bushra Sabir; Faheem Ullah; Muhammad Ali Babar 001; Raj Gaire 001 (CoRR, 2020)

Automated Security Assessment for the Internet of Things. - Xuanyu Duan; Mengmeng Ge 001; Triet Huynh Minh Le; Faheem Ullah; Shang Gao 003; Xuequan Lu; Muhammad Ali Babar 001 (PRDC, 2021)

A Hybrid DL-Based Detection Mechanism for Cyber Threats in Secure Networks. - Sirajuddin Qureshi; Jingsha He; Saima Tunio; Nafei Zhu; Faheem Akhtar; Faheem Ullah; Ahsan Nazir; Ahsan Wajahat (IEEE Access, 2021)

Evaluation of Distributed Databases in Hybrid Clouds and Edge Computing: Energy, Bandwidth, and Storage Consumption. - Yaser Mansouri; Victor Prokhorenko; Faheem Ullah; Muhammad Ali Babar 001 (CoRR, 2021)

An efficient algorithm for numerical solution of fractional integro-differential equations via Haar wavelet. - Rohul Amin; Kamal Shah; Muhammad Asif 014; Imran Khan; Faheem Ullah (J. Comput. Appl. Math., 2021)

Scalable Containerized Pipeline for Real-time Big Data Analytics. - Rana Aurangzaib; Waheed Iqbal; Muhammad Abdullah 004; Faisal Bukhari; Faheem Ullah; Abdelkarim Erradi (CloudCom, 2022)

A Framework for Energy-aware Evaluation of Distributed Data Processing Platforms in Edge-Cloud Environment. - Faheem Ullah; Imaduddin Mohammed; Muhammad Ali Babar 001 (CoRR, 2022)

Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases. - Yaser Mansouri; Faheem Ullah; Shagun Dhingra; Muhammad Ali Babar 001 (CoRR, 2022)

Machine Learning for Detecting Data Exfiltration: A Review. - Bushra Sabir; Faheem Ullah; Muhammad Ali Babar 001; Raj Gaire 001 (ACM Comput. Surv., 2022)

Design and evaluation of adaptive system for big data cyber security analytics. - Faheem Ullah; Muhammad Ali Babar 001; Aldeida Aleti (Expert Syst. Appl., 2022)

On the scalability of Big Data Cyber Security Analytics systems. - Faheem Ullah; Muhammad Ali Babar 001 (J. Netw. Comput. Appl., 2022)

Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms. - Isuru Dharmadasa; Faheem Ullah (IEEE Big Data, 2023)

An Exploratory Study of Vulnerabilities in Big Data Systems. - Nikolas Tyllis; Faheem Ullah; Muhammad Uzair (IEEE Big Data, 2023)

Guidance Models for Designing Big Data Cyber Security Analytics Systems. - Faheem Ullah; Muhammad Ali Babar 001 (ECSA, 2023)

A Review on C3I Systems' Security: Vulnerabilities, Attacks, and Countermeasures. - Hussain Ahmad; Isuru Dharmadasa; Faheem Ullah; Muhammad Ali Babar 001 (ACM Comput. Surv., 2023)

An adaptive semi-supervised deep learning-based framework for the detection of Android malware. - Ahsan Wajahat; Jingsha He; Nafei Zhu; Tariq Mahmood 001; Ahsan Nazir; Muhammad Salman Pathan; Sirajuddin Qureshi; Faheem Ullah (J. Intell. Fuzzy Syst., 2023)

Resource Utilization of Distributed Databases in Edge-Cloud Environment. - Yaser Mansouri; Victor Prokhorenko; Faheem Ullah; Muhammad Ali Babar 001 (IEEE Internet Things J., 2023)

Defending SDN against packet injection attacks using deep learning. - Anh Tuan Phu; Bo Li; Faheem Ullah; Tanvir Ul Huque; Ranesh Naha; Muhammad Ali Babar 001; Hung Nguyen (Comput. Networks, 2023)

Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets. - Ahsan Nazir; Jingsha He; Nafei Zhu; Ahsan Wajahat; Xiangjun Ma; Faheem Ullah; Sirajuddin Qureshi; Muhammad Salman Pathan (J. King Saud Univ. Comput. Inf. Sci., 2023)

Ensemble Learning Techniques for the Detection of IoT Botnets. - Ahsan Nazir; Jingsha He; Nafei Zhu; Xiangjun Ma; Faheem Ullah; Sirajuddin Qureshi; Ahsan Wajahat (CSAIDE, 2024)

Microservice Vulnerability Analysis: A Literature Review With Empirical Insights. - Raveen Kanishka Jayalath; Hussain Ahmad; Diksha Goel; Muhammad Shuja Syed; Faheem Ullah (IEEE Access, 2024)

A Survey on Immersive Cyber Situational Awareness Systems. - Hussain Ahmad; Faheem Ullah; Rehan Jafri (CoRR, 2024)

An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources. - Ahsan Wajahat; Jingsha He; Nafei Zhu; Tariq Mahmood 001; Ahsan Nazir; Faheem Ullah; Sirajuddin Qureshi; Musa Osman (Intell. Decis. Technol., 2024)

Systematic review of deep learning solutions for malware detection and forensic analysis in IoT. - Sirajuddin Qureshi; Jingsha He; Saima Tunio; Nafei Zhu; Ahsan Nazir; Ahsan Wajahat; Faheem Ullah; Abdul Wadud (J. King Saud Univ. Comput. Inf. Sci., 2024)

Evaluation of distributed data processing frameworks in hybrid clouds. - Faheem Ullah; Shagun Dhingra; Xiaoyu Xia 001; Muhammad Ali Babar 001 (J. Netw. Comput. Appl., 2024)

Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration. - Ahsan Nazir; Jingsha He; Nafei Zhu; Ahsan Wajahat; Faheem Ullah; Sirajuddin Qureshi; Xiangjun Ma; Muhammad Salman Pathan (J. King Saud Univ. Comput. Inf. Sci., 2024)

6D object pose estimation based on dense convolutional object center voting with improved accuracy and efficiency. - Faheem Ullah; Wu Wei 001; Zhun Fan; Qiuda Yu (Vis. Comput., 2024)

Characterizing Vulnerabilities in Microservices: Source, Age and Severity. - Samuel Beahan; Faheem Ullah; Lachlan Chalmers; Uswa Fatima; Mojtaba Shahin (ICSA, 2025)

Mapping Industry Demands for Digital Forensics: A Study of Penetration Tester Requirements. - Pragya Kaushik; Faheem Ullah; Muhammad Imran Taj (NTMS, 2025)

What Skills Do Cyber Security Professionals Need? - Faheem Ullah; Xiaohan Ye; Uswa Fatima; Zahid Akhtar; Yuxi Wu; Hussain Ahmad (CoRR, 2025)

Ehr management evolution through purpose-based access control and blockchain smart contracts. - Faheem Ullah; Jingsha He; Nafei Zhu; Ahsan Wajahat; Ahsan Nazir; Sirajuddin Qureshi; Hasan Shahzad (Int. J. Inf. Sec., 2025)

Towards deep learning enabled cybersecurity risk assessment for microservice architectures. - Majid Abdulsatar; Hussain Ahmad; Diksha Goel; Faheem Ullah (Clust. Comput., 2025)