Feasibility of IoT botnet for cryptocurrency mining

Feasibility of IoT botnet for cryptocurrency mining

In recent years, Internet-of-Things (IoT) has been rising in trend, converting all traditional appliance into smart connected appliance. The amount of IoT devices present not only in household, but also offices and in public are increasingly fast. As for software, blockchain technology is also on th...

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Bibliografiske detaljer
Hovedforfatter:	Pang, Clement Guo Xiang
Andre forfattere:	Tan Rui
Format:	Final Year Project (FYP)
Sprog:	English
Udgivet:	Nanyang Technological University 2020
Fag:	Engineering::Computer science and engineering
Online adgang:	https://hdl.handle.net/10356/138165

Lignende værker

Botnet Detection in IoT Devices Using Random Forest Classifier with Independent Component Analysis
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Developing an Intelligent System for Efficient Botnet Detection in IoT Environment
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Modular neural network for edge-based detection of early-stage IoT botnet
af: Duaa Alqattan, et al.
Udgivet: (2025-03-01)

IoT Security: Botnet Detection Using Self-Organizing Feature Map and Machine Learning
af: Susanto, et al.
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IoT for smart campus (2)
af: Ang, Gerald Yong Ping
Udgivet: (2019)

Blockchain platform for Internet of Things (IoT)
af: Chua, Yong Seng
Udgivet: (2021)

IoT : home-based monitoring system
af: Lin, Shi Zheng
Udgivet: (2021)

Computationally Efficient Deep Federated Learning with Optimized Feature Selection for IoT Botnet Attack Detection
af: Lambert Kofi Gyan Danquah, et al.
Udgivet: (2025-03-01)

IoT - development of a home automation system
af: Goh, Benjamin Zongye
Udgivet: (2023)

Implementing security for internet of things (IoT)
af: Low, Jian Hui
Udgivet: (2017)

IoT -development of a home automation system
af: Lim, Ming Wei
Udgivet: (2022)

Bio-inspired camera for surveillance in IoT
af: Gunasekeran, Ruvendren
Udgivet: (2020)

A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets.
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Udgivet: (2024-01-01)

A cost-effective adaptive repair strategy to mitigate DDoS-capable IoT botnets
af: Jiamin Hu, et al.
Udgivet: (2024-01-01)

Deep autonomous learning machine for IoT streaming analytics
af: Li, Jinquan
Udgivet: (2020)

Big data visualizations for an IoT enabled production facility
af: Eow, Doo Nee
Udgivet: (2020)

IoT : development of a home automation system 3
af: Ooi, Kok Yih
Udgivet: (2022)

IoT - development of a home automation systems – 1
af: Kottarathil Gokulan, Neena
Udgivet: (2023)

IoT - development of home automation system 2
af: Muhammad Irsyad Redzuan
Udgivet: (2022)

Design of blockchain supported security function for IoT
af: Tan, Jervin Guan Yu
Udgivet: (2021)

Cryptocurrency price analysis
af: Neo, Kai Shuen
Udgivet: (2020)

Cryptocurrency price analysis
af: Ng, Joash Jun Sen
Udgivet: (2019)

Energy harvesting for IoT sensor systems
af: Lai, Wen Pang
Udgivet: (2020)

FactoryIoTSim: towards a real-time IoT events simulator
af: Yang, Yubei
Udgivet: (2022)

Towards an automated attack tree generator for the IoT
af: Caldera, Carlos, M. Eng. Massachusetts Institute of Technology
Udgivet: (2018)

Big data visualization for Internet of things (IoT)
af: Wong, Sin Kwan
Udgivet: (2018)

Implementing security in internet of things (IoT)
af: Tee, Ting Yi
Udgivet: (2016)

Bio-inspired camera for surveillance in IoT (III)
af: Tan, Shi Guang
Udgivet: (2021)

IoT - development of a home automation system for disabled
af: Lee, Daniel Wei Meng
Udgivet: (2021)

Dynamic energy monitoring for smart devices using IoT
af: Liu, Zhiwei
Udgivet: (2019)

IoT : development of a remote monitoring/control system
af: Myoe Ko Ko Oo
Udgivet: (2019)

Finding bugs inside IoT devices via static analysis
af: Lim, Gerald Ze Yang
Udgivet: (2022)

Contract theory based resource allocation in Internet of Things (IoT)
af: Quek, Nicholas Jun Hao
Udgivet: (2019)

Cryptocurrency price analysis
af: Png, Javier Han Tiong
Udgivet: (2019)

Classifying IoT Botnet Attacks With Kolmogorov-Arnold Networks: A Comparative Analysis of Architectural Variations
af: Phuc Hao do, et al.
Udgivet: (2025-01-01)

Deep Learning-Based Intrusion Detection System for Detecting IoT Botnet Attacks: A Review
af: Tamara Al-Shurbaji, et al.
Udgivet: (2025-01-01)

Internet of Things (IoT) development of a home automation system 4
af: Ang, Xiong Lin
Udgivet: (2023)

Mobile application for IoT devices
af: Low, Delwyn Jia Wei
Udgivet: (2023)

A delay resilient approach in cyber physical systems for Industrial IoT
af: Rawal, Akshay
Udgivet: (2019)