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ORCIDFaheem Ullah
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2020 – today
- 2024
[j18]Raveen Kanishka Jayalath
, Hussain Ahmad, Diksha Goel, Muhammad Shuja Syed, Faheem Ullah:
Microservice Vulnerability Analysis: A Literature Review With Empirical Insights. IEEE Access 12: 155168-155204 (2024)- [j17]Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Faheem Ullah, Sirajuddin Qureshi, Musa Osman:
An effective deep learning scheme for android malware detection leveraging performance metrics and computational resources. Intell. Decis. Technol. 18(1): 33-55 (2024) - [j16]Ahsan Nazir, Jingsha He, Nafei Zhu, Ahsan Wajahat, Faheem Ullah, Sirajuddin Qureshi, Xiangjun Ma, Muhammad Salman Pathan:
Collaborative threat intelligence: Enhancing IoT security through blockchain and machine learning integration. J. King Saud Univ. Comput. Inf. Sci. 36(2): 101939 (2024) - [j15]Sirajuddin Qureshi, Jingsha He, Saima Tunio, Nafei Zhu, Ahsan Nazir, Ahsan Wajahat, Faheem Ullah, Abdul Wadud:
Systematic review of deep learning solutions for malware detection and forensic analysis in IoT. J. King Saud Univ. Comput. Inf. Sci. 36(8): 102164 (2024) - [j14]Faheem Ullah, Shagun Dhingra, Xiaoyu Xia, Muhammad Ali Babar:
Evaluation of distributed data processing frameworks in hybrid clouds. J. Netw. Comput. Appl. 224: 103837 (2024) - [j13]Faheem Ullah, Wu Wei, Zhun Fan, Qiuda Yu:
6D object pose estimation based on dense convolutional object center voting with improved accuracy and efficiency. Vis. Comput. 40(8): 5421-5434 (2024) - [c13]Ahsan Nazir, Jingsha He, Nafei Zhu, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Ahsan Wajahat:
Ensemble Learning Techniques for the Detection of IoT Botnets. CSAIDE 2024: 80-85 - [i15]Majid Abdulsatar, Hussain Ahmad, Diksha Goel, Faheem Ullah:
Towards Deep Learning Enabled Cybersecurity Risk Assessment for Microservice Architectures. CoRR abs/2403.15169 (2024) - [i14]Raveen Kanishka Jayalath, Hussain Ahmad, Diksha Goel, Muhammad Shuja Syed, Faheem Ullah:
Microservice Vulnerability Analysis: A Literature Review with Empirical Insights. CoRR abs/2408.03960 (2024) - [i13]Hussain Ahmad, Faheem Ullah, Rehan Jafri:
A Survey on Immersive Cyber Situational Awareness Systems. CoRR abs/2408.07456 (2024) - 2023
- [j12]Anh Tuan Phu, Bo Li, Faheem Ullah, Tanvir Ul Huque, Ranesh Naha, Muhammad Ali Babar, Hung Nguyen:
Defending SDN against packet injection attacks using deep learning. Comput. Networks 234: 109935 (2023) - [j11]Hussain Ahmad, Isuru Dharmadasa, Faheem Ullah, Muhammad Ali Babar:
A Review on C3I Systems' Security: Vulnerabilities, Attacks, and Countermeasures. ACM Comput. Surv. 55(9): 192:1-192:38 (2023) - [j10]Yaser Mansouri, Victor Prokhorenko, Faheem Ullah, Muhammad Ali Babar:
Resource Utilization of Distributed Databases in Edge-Cloud Environment. IEEE Internet Things J. 10(11): 9423-9437 (2023) - [j9]Ahsan Wajahat, Jingsha He, Nafei Zhu, Tariq Mahmood, Ahsan Nazir, Muhammad Salman Pathan, Sirajuddin Qureshi, Faheem Ullah:
An adaptive semi-supervised deep learning-based framework for the detection of Android malware. J. Intell. Fuzzy Syst. 45(3): 5141-5157 (2023) - [j8]Ahsan Nazir, Jingsha He, Nafei Zhu, Ahsan Wajahat, Xiangjun Ma, Faheem Ullah, Sirajuddin Qureshi, Muhammad Salman Pathan:
Advancing IoT security: A systematic review of machine learning approaches for the detection of IoT botnets. J. King Saud Univ. Comput. Inf. Sci. 35(10): 101820 (2023) - [c12]Isuru Dharmadasa, Faheem Ullah:
Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms. IEEE Big Data 2023: 207-214 - [c11]Nikolas Tyllis, Faheem Ullah, Muhammad Uzair:
An Exploratory Study of Vulnerabilities in Big Data Systems. IEEE Big Data 2023: 1360-1367 - [c10]Faheem Ullah, Muhammad Ali Babar:
Guidance Models for Designing Big Data Cyber Security Analytics Systems. ECSA 2023: 70-80 - [i12]Anh Tuan Phu, Bo Li, Faheem Ullah, Tanvir Ul Huque, Ranesh Naha, Ali Babar, Hung Nguyen:
Defending SDN against packet injection attacks using deep learning. CoRR abs/2301.08428 (2023) - [i11]Isuru Dharmadasa, Faheem Ullah:
Co-Tuning of Cloud Infrastructure and Distributed Data Processing Platforms. CoRR abs/2309.00269 (2023) - 2022
- [j7]Bushra Sabir, Faheem Ullah, Muhammad Ali Babar, Raj Gaire:
Machine Learning for Detecting Data Exfiltration: A Review. ACM Comput. Surv. 54(3): 50:1-50:47 (2022) - [j6]Faheem Ullah, Muhammad Ali Babar, Aldeida Aleti:
Design and evaluation of adaptive system for big data cyber security analytics. Expert Syst. Appl. 207: 117948 (2022) - [j5]Faheem Ullah, Muhammad Ali Babar:
On the scalability of Big Data Cyber Security Analytics systems. J. Netw. Comput. Appl. 198: 103294 (2022) - [c9]Rana Aurangzaib, Waheed Iqbal, Muhammad Abdullah, Faisal Bukhari, Faheem Ullah, Abdelkarim Erradi:
Scalable Containerized Pipeline for Real-time Big Data Analytics. CloudCom 2022: 25-32 - [i10]Faheem Ullah, Shagun Dhingra, Xiaoyu Xia, Muhammad Ali Babar:
Evaluation of Distributed Data Processing Frameworks in Hybrid Clouds. CoRR abs/2201.01948 (2022) - [i9]Faheem Ullah, Imaduddin Mohammed, Muhammad Ali Babar:
A Framework for Energy-aware Evaluation of Distributed Data Processing Platforms in Edge-Cloud Environment. CoRR abs/2201.01972 (2022) - [i8]Yaser Mansouri, Faheem Ullah, Shagun Dhingra, Muhammad Ali Babar:
Design and Implementation of Fragmented Clouds for Evaluation of Distributed Databases. CoRR abs/2209.09487 (2022) - 2021
- [j4]Sirajuddin Qureshi, Jingsha He, Saima Tunio, Nafei Zhu, Faheem Akhtar, Faheem Ullah, Ahsan Nazir, Ahsan Wajahat:
A Hybrid DL-Based Detection Mechanism for Cyber Threats in Secure Networks. IEEE Access 9: 73938-73947 (2021) - [j3]Rohul Amin, Kamal Shah, Muhammad Asif, Imran Khan, Faheem Ullah:
An efficient algorithm for numerical solution of fractional integro-differential equations via Haar wavelet. J. Comput. Appl. Math. 381: 113028 (2021) - [c8]Xuanyu Duan, Mengmeng Ge, Triet Huynh Minh Le, Faheem Ullah, Shang Gao, Xuequan Lu, Muhammad Ali Babar:
Automated Security Assessment for the Internet of Things. PRDC 2021: 47-56 - [i7]Hussain Ahmad, Isuru Dharmadasa, Faheem Ullah, Muhammad Ali Babar:
A Review on C3I Systems' Security: Vulnerabilities, Attacks, and Countermeasures. CoRR abs/2104.11906 (2021) - [i6]Xuanyu Duan, Mengmeng Ge, Triet Huynh Minh Le, Faheem Ullah, Shang Gao, Xuequan Lu, Muhammad Ali Babar:
Automated Security Assessment for the Internet of Things. CoRR abs/2109.04029 (2021) - [i5]Yaser Mansouri, Victor Prokhorenko, Faheem Ullah, Muhammad Ali Babar:
Evaluation of Distributed Databases in Hybrid Clouds and Edge Computing: Energy, Bandwidth, and Storage Consumption. CoRR abs/2109.07260 (2021) - [i4]Faheem Ullah, Muhammad Ali Babar:
On the Scalability of Big Data Cyber Security Analytics Systems. CoRR abs/2112.00853 (2021) - 2020
- [i3]Bushra Sabir, Faheem Ullah, Muhammad Ali Babar, Raj Gaire:
Machine Learning for Detecting Data Exfiltration. CoRR abs/2012.09344 (2020)
2010 – 2019
- 2019
- [j2]Faheem Ullah, Muhammad Ali Babar:
Architectural Tactics for Big Data Cybersecurity Analytics Systems: A Review. J. Syst. Softw. 151: 81-118 (2019) - [c7]Faheem Ullah, Muhammad Ali Babar:
QuickAdapt: Scalable Adaptation for Big Data Cyber Security Analytics. ICECCS 2019: 81-86 - [c6]Faheem Ullah, Muhammad Ali Babar:
An Architecture-Driven Adaptation Approach for Big Data Cyber Security Analytics. ICSA 2019: 41-50 - [c5]Faheem Ullah, Muhammad Ali Babar:
Quantifying the Impact of Design Strategies for Big Data Cyber Security Analytics: An Empirical Investigation. PDCAT 2019: 146-153 - 2018
- [j1]Faheem Ullah, Matthew Edwards, Rajiv Ramdhany, Ruzanna Chitchyan, Muhammad Ali Babar, Awais Rashid:
Data exfiltration: A review of external attack vectors and countermeasures. J. Netw. Comput. Appl. 101: 18-54 (2018) - [i2]Faheem Ullah, Muhammad Ali Babar:
Architectural Tactics for Big Data Cybersecurity Analytic Systems: A Review. CoRR abs/1802.03178 (2018) - 2017
- [c4]Faheem Ullah, Adam Johannes Raft, Mojtaba Shahin, Mansooreh Zahedi, Muhammad Ali Babar:
Security Support in Continuous Deployment Pipeline. ENASE 2017: 57-68 - [i1]Faheem Ullah, Adam Johannes Raft, Mojtaba Shahin, Mansooreh Zahedi, Muhammad Ali Babar:
Security Support in Continuous Deployment Pipeline. CoRR abs/1703.04277 (2017) - 2016
- [b1]Faheem Ullah:
Finding the needle in a haystack: Chasing rarely occurring bugs in concurrent software. ETH Zurich, Zürich, Switzerland, 2016 - [c3]Faheem Ullah, Thomas R. Gross:
Detecting Anomalies in Concurrent Programs Based on Dynamic Control Flow Changes. IPDPS Workshops 2016: 308-317 - 2015
- [c2]Faheem Ullah, Thomas R. Gross:
Profiling for detecting performance anomalies in concurrent software. SEPS@SPLASH 2015: 11-20 - 2010
- [c1]Manuel Oriol, Faheem Ullah:
YETI on the Cloud. ICST Workshops 2010: 434-437
Coauthor Index
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