Opening book details…
Can I read DIMDA: Deep Learning and Image-Based Malware Detection for Android on EtoBox?
DIMDA: Deep Learning and Image-Based Malware Detection for Android by Vikas Sihag; Surya Prakash; Gaurav Choudhary; Nicola Dragoni; Ilsun You is a computer science book available to read on EtoBox.
What is DIMDA: Deep Learning and Image-Based Malware Detection for Android about?
<p>This book constitutes the refereed proceedings of the Fourth International Conference on Futuristic Trends in Network and Communication Technologies, FTNCT 2021. The prime aim of the conference is to invite researchers from different domains of network and communication technologies to a single platform to showcase their research ideas. The selected papers are organized in topical sections on network and computing technologies; wireless networks and Internet of Things (IoT); futuristic comput
Who reads DIMDA: Deep Learning and Image-Based Malware Detection for Android?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Vikas Sihag; Surya Prakash; Gaurav Choudhary; Nicola Dragoni; Ilsun You
- Publisher
- Springer Nature Singapore Pte Ltd Fka Springer Science + Business Media Singapore Pte Ltd
- Published
- 2022
- Language
- EN
- ISBN
- 9789811950384
- Category
- computer science
- Subjects
- Business, Engineering, Information
- Updated
- 2026-03-25
More by Vikas Sihag; Surya Prakash; Gaurav Choudhary; Nicola Dragoni; Ilsun You
Browse all works by Vikas Sihag; Surya Prakash; Gaurav Choudhary; Nicola Dragoni; Ilsun You
Similar books
- DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android — Yousra Aafer; Wenliang Du; Heng Yin (2013)
- Android Malware Detection Method Based on App-Image Conversion — Nannan Xie; Hongpeng Bai; Yanfeng Shi; Haiwei Wu (2021)
- Deep Convolutional Neural Networks Network with Transfer Learning for Image-Based Malware Analysis — V. S. Jeyalakshmi; N. Krishnan; J. Jayapriya (2023)
- PDF Malware Detection Using Visualization and Machine Learning — Ching-Yuan Liu; Min-Yi Chiu; Qi-Xian Huang; Hung-Min Sun (2021)
- Android Malware Detection Based on Stacking and Multi-feature Fusion — Qin Zhaowei; Xie Nannan; Asiedu Collins Gyamfi (2022)
- A Comprehensive Approach to Android Malware Detection Using Machine Learning — Ali Batouche; Hamid Jahankhani (2021)