435 citations
- Queen's UniversityCA6 papers
- California Institute of TechnologyUS5 papers
- Consejo Superior de Investigaciones CientíficasES5 papers
- Fermi National Accelerator LaboratoryUS5 papers
- Kavli Institute for Particle Astrophysics and CosmologyUS5 papers
- Laurentian UniversityCA5 papers
- Lawrence Berkeley National LaboratoryUS5 papers
- Mitchell InstituteUS5 papers
- National Institute of Science Education and ResearchIN5 papers
- Pacific Northwest National LaboratoryUS5 papers
- Santa Clara UniversityUS5 papers
- SLAC National Accelerator LaboratoryUS5 papers
5 papers · 1 filter
LLM-Driven APT Detection for 6G Wireless Networks: A Systematic Review and Taxonomy
Muhammed Golec, Yaser Khamayseh, Suhib Bani Melhem +1
Sixth Generation (6G) wireless networks, which are expected to be deployed in the 2030s, have already created great excitement in academia and the private sector with their extreme…
Explainable Artificial Intelligence Applications in Cyber Security: State-of-the-Art in Research
Zhibo Zhang, Hussam Al Hamadi, Ernesto Damiani +2
This survey presents a comprehensive review of current literature on Explainable Artificial Intelligence (XAI) methods for cyber security applications. Due to the rapid development…
Preventing and Controlling Epidemics through Blockchain-Assisted AI-Enabled Networks
Safa Otoum, Ismaeel Al Ridhawi, Hussein T. Mouftah
The COVID-19 pandemic, which spread rapidly in late 2019, has revealed that the use of computing and communication technologies provides significant aid in preventing, controlling,…
Efficient Wu-Manber Pattern Matching Hardware for Intrusion and Malware Detection
Monther Aldwairi, Yahya Flaifel, Khaldoon Mhaidat
Network intrusion detection systems and antivirus software are essential in detecting malicious network traffic and attacks such as denial-of-service and malwares. Each attack, wor…
ER-AE: Differentially Private Text Generation for Authorship Anonymization
Haohan Bo, Steven H. H. Ding, Benjamin C. M. Fung +1
Most of privacy protection studies for textual data focus on removing explicit sensitive identifiers. However, personal writing style, as a strong indicator of the authorship, is o…