Design of Automation Environment for Analyzing Various IoT Malware by Sungwon Lee, Hyeonkyu Jeon, Gihyun Park, Jonghee Youn*

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A Malware Distribution Simulator for the Verification of Network Threat Prevention Tools by Song-Yi Hwang, Jeong-Nyeo Kim

Subjects: “…IoT malware…”
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Scalable and Fast Algorithm for Constructing Phylogenetic Trees With Application to IoT Malware Clustering by Tianxiang He, Chansu Han, Ryoichi Isawa, Takeshi Takahashi, Shuji Kijima, Jun'ichi Takeuchi

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Availability evaluation method for extended epidemic model and Markov chain based IoT by Xiaotong YE, Wenfei SUN, Shigen SHEN

Subjects: “…IoT;malware;epidemic model;Markov chain;availability…”
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A Mobility-Based Epidemic Model for IoT Malware Spread by Bo-Rui Chen, Shin-Ming Cheng, Maina Bernard Mwangi

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Robust IoT Malware Detection and Classification Using Opcode Category Features on Machine Learning by Hyunjong Lee, Sooin Kim, Dongheon Baek, Donghoon Kim, Doosung Hwang

Subjects: “…IoT malware…”
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MDABP: A Novel Approach to Detect Cross-Architecture IoT Malware Based on PaaS by Yang Zhao, Alifu Kuerban

Subjects: “…IoT malware…”
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Systematic review of deep learning solutions for malware detection and forensic analysis in IoT by Siraj Uddin Qureshi, Jingsha He, Saima Tunio, Nafei Zhu, Ahsan Nazir, Ahsan Wajahat, Faheem Ullah, Abdul Wadud

Subjects: “…IoT malware detection…”
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A Novel Detection and Multi-Classification Approach for IoT-Malware Using Random Forest Voting of Fine-Tuning Convolutional Neural Networks by Safa Ben Atitallah, Maha Driss, Iman Almomani

Subjects: “…IoT-malware…”
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Securing Edge Devices: Malware Classification with Dual-Attention Deep Network by Gasim Alandjani

Subjects: “…IoT malware classification…”
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A Baseline Investigation Into the Evolution and Prevalence of Mirai and Hajime Utilizing a Network Telescope by Son Pham Anh, Yasuhiro Nakamura

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An Adversarial Attack on ML-Based IoT Malware Detection Using Binary Diversification Techniques by Maina Bernard Mwangi, Shin-Ming Cheng

Subjects: “…Internet of Things (IoT) malware detection…”
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A Study on the Digital Forensic Investigation Method of Clever Malware in IoT Devices by Dohyun Kim, Yi Pan, Jong Hyuk Park

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Tools and Techniques for Collection and Analysis of Internet-of-Things malware: A systematic state-of-art review by Sanjay Madan, Sanjeev Sofat, Divya Bansal

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Dynamic Analysis for IoT Malware Detection With Convolution Neural Network Model by Jueun Jeon, Jong Hyuk Park, Young-Sik Jeong

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An empirical study of problems and evaluation of IoT malware classification label sources by Tianwei Lei, Jingfeng Xue, Yong Wang, Thar Baker, Zequn Niu

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IoMT Malware Detection Approaches: Analysis and Research Challenges by Mohammad Wazid, Ashok Kumar Das, Joel J. P. C. Rodrigues, Sachin Shetty, Youngho Park

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Cross Deep Learning Method for Effectively Detecting the Propagation of IoT Botnet by Majda Wazzan, Daniyal Algazzawi, Aiiad Albeshri, Syed Hasan, Osama Rabie, Muhammad Zubair Asghar

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Defending IoT Devices against Bluetooth Worms with Bluetooth OBEX Proxy by Fu-Hau Hsu, Min-Hao Wu, Yan-Ling Hwang, Jian-Xin Chen, Jian-Hong Huang, Hao-Jyun Wang, Yi-Wen Lai

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