EDBT 2026 Demo / reviewers in the wild / expert
Fares Alharbi
dblp:194/1487
· DBLP profile ↗
6ranked-venue papers
3as first author
4since 2021 · last 2026
0000-0002-0422-4592ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 3 · 2 first-author · 1 since 2021Security and privacy · 3 · 1 first-author · 3 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Understanding and Analyzing Privacy Risks in Mobile Consent-Management Platforms
Jingzhou Ye, Fares Alharbi, Luyi Xing, Xueqiang Wang |
SP | 2 |
| 2024 | Establishing the fuzzy integrated hybrid MCDM framework to identify the key barriers to implementing artificial intelligence-enabled sustainable cloud system in an IT industry
Reem Alshahrani, Manideep Yenugula, Haneen Algethami, Fares Alharbi, Shankha Shubhra Goswami, Noorulhasan Naveed Quadri, Ayodele Lasisi, Nadeem A. Khan, Sasan Zahmatkesh |
Expert Syst. Appl. | 4 |
| 2024 | Automated Ruleset Generation for "HTTPS Everywhere": Challenges, Implementation, and InsightsabstractThis paper details the implementation of a Web crawler aimed at automating ruleset construction for “HTTPS Everywhere,” with a goal to convert HTTP URLs to secure HTTPS equivalents for enhanced communication security. Developed within a seven-month timeframe, the crawler faced challenges in verifying HTTPS support, varying based on SSL certificate existence and validity. Successful ruleset creation and testing in Firefox and Chrome, adhering to stylistic standards, demonstrated the potential for effective development. The paper explores improving productivity through alternative libraries like Scrapy and Scrapy Cloud. While certain goals, such as in-depth cryptocurrency analysis and web crawler background reading, were unmet due to time constraints, valuable insights were gained. The conclusion underscores the difficulties, successes, and promises of automating ruleset generation through web crawlers for “HTTPS Everywhere,” offering valuable recommendations for advancing web security. Fares Alharbi, Gautam Siddharth Kashyap, Budoor Ahmad Allehyani |
Int. J. Inf. Secur. Priv. | 1 |
| 2023 | A dependable hybrid machine learning model for network intrusion detection
Md. Alamin Talukder, Khondokar Fida Hasan, Manowarul Islam, Ashraf Uddin 0004, Arnisha Akhter, Mohammad Abu Yousuf, Fares Alharbi, Mohammad Ali Moni |
J. Inf. Secur. Appl. | 7 |
| 2019 | An Ant Colony System for energy-efficient dynamic Virtual Machine Placement in data centers
Fares Alharbi, Yu-Chu Tian, Maolin Tang, Weizhe Zhang, Chen Peng 0001, Minrui Fei |
Expert Syst. Appl. | 1 |
| 2017 | Profile-Based Ant Colony Optimization for Energy-Efficient Virtual Machine Placement
Fares Alharbi, Yu-Chu Tian, Maolin Tang, Md. Hasanul Ferdaus |
ICONIP (1) | 1 |