Sana Aurangzeb
Cited by
Cited by
Ransomware: a survey and trends
S Aurangzeb, M Aleem, MA Iqbal, MA Islam
J. Inf. Assur. Secur 6 (2), 48-58, 2017
ML-DDoS: A blockchain-based multilevel DDoS mitigation mechanism for IoT environments
RF Hayat, S Aurangzeb, M Aleem, G Srivastava, JCW Lin
IEEE Transactions on Engineering Management, 2022
BigRC-EML: big-data based ransomware classification using ensemble machine learning
S Aurangzeb, H Anwar, MA Naeem, M Aleem
Cluster Computing 25 (5), 3405-3422, 2022
On the classification of Microsoft-Windows ransomware using hardware profile
S Aurangzeb, RNB Rais, M Aleem, MA Islam, MA Iqbal
PeerJ Computer Science 7, e361, 2021
Evaluation and classification of obfuscated Android malware through deep learning using ensemble voting mechanism
S Aurangzeb, M Aleem
Scientific Reports 13 (1), 3093, 2023
RThreatDroid: A ransomware detection approach to secure IoT based healthcare systems
MJ Iqbal, S Aurangzeb, M Aleem, G Srivastava, JCW Lin
IEEE Transactions on Network Science and Engineering 10 (5), 2574-2583, 2022
Cybersecurity for autonomous vehicles against malware attacks in smart-cities
S Aurangzeb, M Aleem, MT Khan, H Anwar, MS Siddique
Cluster Computing 27 (3), 3363-3378, 2024
On the performance and scalability of simulators for improving security and safety of smart cities
A Mohsin, S Aurangzeb, M Aleem, MT Khan
2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022
A machine learning based hybrid approach to classify and detect windows ransomware
S Aurangzeb
MS (CS) dissertation, Capital Univ. Sci. Technol., Islamabad, Pakistan, 2018
Demand-side load forecasting in smart grids using machine learning techniques
MY Masood, S Aurangzeb, M Aleem, A Chilwan, M Awais
PeerJ Computer Science 10, e1987, 2024
AndroDex: Android Dex images of obfuscated malware
S Aurangzeb, M Aleem, MT Khan, G Loukas, G Sakellari
Scientific Data 11 (1), 212, 2024
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