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ORCIDNada Alruhaily
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- affiliation (PhD 2018): University of Birmingham, UK
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2020 – today
- 2021
[j3]Abeer Aljumah, Amjad Altuwijri, Thekra Alsuhaibani, Afef Selmi, Nada Alruhaily:
Identification of Fraud Apps Using Sentiment Analysis Techniques. Int. J. Interact. Mob. Technol. 15(23): 178-185 (2021)- [j2]Abeer Aljumah, Amjad Altuwijri, Thekra Alsuhaibani, Afef Selmi, Nada Alruhaily:
Android Apps Security Assessment using Sentiment Analysis Techniques: Comparative Study. Int. J. Interact. Mob. Technol. 15(24): 123-133 (2021) - 2020
- [j1]Dina M. Ibrahim
, Nada Massoud Alruhaily:
Anomaly Detection in Wireless Sensor Networks: A Proposed Framework. Int. J. Interact. Mob. Technol. 14(10): 150-158 (2020)
2010 – 2019
- 2018
- [b1]Nada Massoud Alruhaily:
Analysis and improvements of behaviour-based malware detection mechanisms. University of Birmingham, UK, 2018 - 2017
- [c4]Nada Alruhaily, Tom Chothia, Behzad Bordbar:
A Better Understanding of Machine Learning Malware Misclassifcation. ICISSP (Revised Selected Papers) 2017: 35-58 - [c3]Nada Alruhaily, Behzad Bordbar, Tom Chothia:
Towards an Understanding of the Misclassification Rates of Machine Learning-based Malware Detection Systems. ICISSP 2017: 101-112 - [c2]Nada Alruhaily, Carlos Joseph Mera-Gómez, Tom Chothia, Rami Bahsoon:
A Market-Based Approach for Detecting Malware in the Cloud via Introspection. ICSOC 2017: 722-730 - 2015
- [c1]Nada Alruhaily, Behzad Bordbar, Tom Chothia:
Analysis of Mobility Algorithms for Forensic Virtual Machine Based Malware Detection. TrustCom/BigDataSE/ISPA (1) 2015: 766-773
Coauthor Index
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