Faheem Ullah

According to our database, Faheem Ullah authored at least 39 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

6D object pose estimation based on dense convolutional object center voting with improved accuracy and efficiency.

Faheem Ullah, Wu Wei, Zhun Fan, Qiuda Yu

Vis. Comput., August, 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., February, 2024

Evaluation of distributed data processing frameworks in hybrid clouds.

Faheem Ullah, Shagun Dhingra, Xiaoyu Xia, Muhammad Ali Babar

J. Netw. Comput. Appl., 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

An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources.

Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Faheem Ullah, Sirajuddin Qureshi, Musa Osman

Intell. Decis. Technol., 2024

A Survey on Immersive Cyber Situational Awareness Systems.

Hussain Ahmad, Faheem Ullah, Rehan Jafri

CoRR, 2024

Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice Architectures.

Majid Abdulsatar, Hussain Ahmad, Diksha Goel, Faheem Ullah

CoRR, 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

Ensemble Learning Techniques for the Detection of IoT Botnets.

Ahsan Nazir, Jingsha He, Nafei Zhu, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Ahsan Wajahat

Proceedings of the 2024 3rd International Conference on Cyber Security, 2024

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., December, 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, Hung Nguyen

Comput. Networks, October, 2023

Resource Utilization of Distributed Databases in Edge-Cloud Environment.

Yaser Mansouri, Victor Prokhorenko, Faheem Ullah, Muhammad Ali Babar

IEEE Internet Things J., June, 2023

An adaptive semi-supervised deep learning-based framework for the detection of Android malware.

Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Muhammad Salman Pathan, Sirajuddin Qureshi, Faheem Ullah

J. Intell. Fuzzy Syst., 2023

A Review on C3I Systems' Security: Vulnerabilities, Attacks, and Countermeasures.

Hussain Ahmad, Isuru Dharmadasa, Faheem Ullah, Muhammad Ali Babar

ACM Comput. Surv., 2023

Guidance Models for Designing Big Data Cyber Security Analytics Systems.

Faheem Ullah, Muhammad Ali Babar

Proceedings of the Software Architecture - 17th European Conference, 2023

An Exploratory Study of Vulnerabilities in Big Data Systems.

Nikolas Tyllis, Faheem Ullah, Muhammad Uzair

Proceedings of the IEEE International Conference on Big Data, 2023

Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms.

Isuru Dharmadasa, Faheem Ullah

Proceedings of the IEEE International Conference on Big Data, 2023

2022

On the scalability of Big Data Cyber Security Analytics systems.

Faheem Ullah, Muhammad Ali Babar

J. Netw. Comput. Appl., 2022

Design and evaluation of adaptive system for big data cyber security analytics.

Faheem Ullah, Muhammad Ali Babar, Aldeida Aleti

Expert Syst. Appl., 2022

Machine Learning for Detecting Data Exfiltration: A Review.

Bushra Sabir, Faheem Ullah, Muhammad Ali Babar, Raj Gaire

ACM Comput. Surv., 2022

Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases.

Yaser Mansouri, Faheem Ullah, Shagun Dhingra, Muhammad Ali Babar

CoRR, 2022

A Framework for Energy-aware Evaluation of Distributed Data Processing Platforms in Edge-Cloud Environment.

Faheem Ullah, Imaduddin Mohammed, Muhammad Ali Babar

CoRR, 2022

Scalable Containerized Pipeline for Real-time Big Data Analytics.

Rana Aurangzaib, Waheed Iqbal, Muhammad Abdullah, Faisal Bukhari, Faheem Ullah, Abdelkarim Erradi

Proceedings of the IEEE International Conference on Cloud Computing Technology and Science, 2022

2021

An efficient algorithm for numerical solution of fractional integro-differential equations via Haar wavelet.

Rohul Amin, Kamal Shah, Muhammad Asif, Imran Khan, Faheem Ullah

J. Comput. Appl. Math., 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

CoRR, 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

Automated Security Assessment for the Internet of Things.

Xuanyu Duan, Mengmeng Ge, Triet Huynh Minh Le, Faheem Ullah, Shang Gao, Xuequan Lu, Muhammad Ali Babar

Proceedings of the 26th IEEE Pacific Rim International Symposium on Dependable Computing, 2021

2020

Machine Learning for Detecting Data Exfiltration.

Bushra Sabir, Faheem Ullah, Muhammad Ali Babar, Raj Gaire

CoRR, 2020

2019

Architectural Tactics for Big Data Cybersecurity Analytics Systems: A Review.

Faheem Ullah, Muhammad Ali Babar

J. Syst. Softw., 2019

Quantifying the Impact of Design Strategies for Big Data Cyber Security Analytics: An Empirical Investigation.

Faheem Ullah, Muhammad Ali Babar

Proceedings of the 20th International Conference on Parallel and Distributed Computing, 2019

An Architecture-Driven Adaptation Approach for Big Data Cyber Security Analytics.

Faheem Ullah, Muhammad Ali Babar

Proceedings of the IEEE International Conference on Software Architecture, 2019

QuickAdapt: Scalable Adaptation for Big Data Cyber Security Analytics.

Faheem Ullah, Muhammad Ali Babar

Proceedings of the 24th International Conference on Engineering of Complex Computer Systems, 2019

2018

Data exfiltration: A review of external attack vectors and countermeasures.

Faheem Ullah, Matthew Edwards, Rajiv Ramdhany, Ruzanna Chitchyan, Muhammad Ali Babar, Awais Rashid

J. Netw. Comput. Appl., 2018

Architectural Tactics for Big Data Cybersecurity Analytic Systems: A Review.

Faheem Ullah, Muhammad Ali Babar

CoRR, 2018

2017

Security Support in Continuous Deployment Pipeline.

Faheem Ullah, Adam Johannes Raft, Mojtaba Shahin, Mansooreh Zahedi, Muhammad Ali Babar

Proceedings of the ENASE 2017, 2017

2016

Finding the needle in a haystack: Chasing rarely occurring bugs in concurrent software.

Faheem Ullah

PhD thesis, 2016

Detecting Anomalies in Concurrent Programs Based on Dynamic Control Flow Changes.

Faheem Ullah, Thomas R. Gross

Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015

Profiling for detecting performance anomalies in concurrent software.

Faheem Ullah, Thomas R. Gross

Proceedings of the 2nd International Workshop on Software Engineering for Parallel Systems, 2015

2010

YETI on the Cloud.

Manuel Oriol, Faheem Ullah

Proceedings of the Third International Conference on Software Testing, 2010