Understanding the Behaviour of Android SMS Malware Attacks With Real Smartphones Dataset

Author:

Kumar Atul1,Sharma Ishu1,Sharma Avinash2

Affiliation:

1. Chitkara University, Institute of Engineering and Technology, Chitkara University,Punjab,India

2. MM Engg. College, Maharishi Markandeshwar (Deemed to be University),Dept. of CSE,Mullana,Haryana,India

Publisher

IEEE

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Enhancing Cybersecurity: A Fusion Approach of Artificial Neural Networks and Decision Trees for Robust Imbalanced DDoS Attack Detection;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

2. Unifying RNN and KNN for Enhancing Mirai Attack Detection in IoT Networks;2024 IEEE International Conference on Information Technology, Electronics and Intelligent Communication Systems (ICITEICS);2024-06-28

3. Understanding IoT-23 Dataset: A Benchmark for IoT Security Analysis;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

4. Smishing: A SMS Phishing Detection Using Various Machine Learning Algorithms;Lecture Notes in Networks and Systems;2024

5. Safeguarding Web Environments Through Supervised Learning-Based Cross-Site Scripting Detection;2023 3rd International Conference on Smart Generation Computing, Communication and Networking (SMART GENCON);2023-12-29

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