Personal profile
Research interests
Computer Security, Digital Forensics
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
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SDG 9 Industry, Innovation, and Infrastructure -
SDG 16 Peace, Justice and Strong Institutions
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Dive into the research topics where Ahmad Almulhem is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 3 Finished
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Design and Implementation of Adaptive Intrusion Management Systems
Felemban, M. (PI) & Almulhem, A. (CoI)
1/04/20 → 1/03/21
Project: Research
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The Security of Industrial Control Systems in Saudi Arabia
Almulhem, A. (PI)
1/03/14 → 29/02/16
Project: Research
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Zero Trust Architecture: A Systematic Literature Review
Gambo, M. L. & Almulhem, A., Mar 2026, In: Journal of Network and Systems Management. 34, 1, 25.Research output: Contribution to journal › Article › peer-review
Open Access3 Scopus citations -
Adversarial Learning-Based Approach for Detecting Malicious DLLs
Rauf Ali Khan, M. & Almulhem, A., 2025, (Accepted/In press) In: Arabian Journal for Science and Engineering.Research output: Contribution to journal › Article › peer-review
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An Efficient Framework for Automated Cyber Threat Intelligence Sharing
Gambo, M. D., Khan, A. H., Almulhem, A. & Almadani, B., Oct 2025, In: Electronics (Switzerland). 14, 20, 4045.Research output: Contribution to journal › Article › peer-review
Open Access -
Behavioral and Propagation-Based Analysis of APT Attacks for Effective Attack Attribution
Ali Khan, M. R. & Almulhem, A., 2025, ISDFS 2025 - 13th International Symposium on Digital Forensics and Security. Institute of Electrical and Electronics Engineers Inc., (ISDFS 2025 - 13th International Symposium on Digital Forensics and Security).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2 Scopus citations -
File Fragment Type Classification Using Light-Weight Convolutional Neural Networks
Felemban, M., Ghaleb, M., Saaim, K., Alsaleh, S. & Almulhem, A., 2024, In: IEEE Access. 12, p. 157179-157191 13 p.Research output: Contribution to journal › Article › peer-review
Open Access8 Scopus citations