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Analysis of internet of things malware using image texture features and machine learning techniques

Internet of things (Amsterdam. Online), 2020-03, Vol.9, p.100153, Article 100153

2020

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MODELLING MALWARE PROPAGATION ON THE INTERNET OF THINGS USING AN AGENT BASED APPROACH ON COMPLEX NETWORKS

Jordanian journal of computers and information technology (Online), 2020-03, Vol.6 (1), p.26-40

2020

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Epidemic model formulation and analysis for diarrheal infections caused by salmonella

Simulation (San Diego, Calif.), 2017-07, Vol.93 (7), p.543-552

2017

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Challenge Paper: Towards Open Datasets for Internet of Things Malware

ACM journal of data and information quality, 2018-09, Vol.10 (2), p.1-5

2018

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Deception in Web Application Honeypots: Case of Glastopf

International journal of cyber-security and digital forensics, 2017-10, Vol.6 (4), p.179-185

2017

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Internet of Things Malware : A Survey

International journal of computer science and engineering survey, 2017-06, Vol.8 (3), p.1-20

2017

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A system to evaluate the presence of a diarrheal epidemic caused by Shigella and Salmonella

IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI), 2014, p.392-395

2014

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Linear Conditioning of an NTC Thermistor Using Nonlinear Operational Amplifier Circuits

Advanced materials research, 2012, Vol.367, p.125-132

2012

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The Role of Deception in Securing Our Cyberspace: Honeypots Are a Viable Option

Applications of Machine Learning and Deep Learning for Privacy and Cybersecurity, 2022, p.95-117

2022

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Formal Specification for Internet of Things Malware

2018 International Conference on Computing, Electronics & Communications Engineering (iCCECE), 2018, p.144-149

2018

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Transfer Learning for Internet of Things Malware Analysis

Intelligent Computing Paradigm and Cutting-Edge Technologies, 2020, Vol.9, p.198-208

2020

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Low power vlsi implementation schemes for dct-based image compression

Masupe, Shedden

2001

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Feedforward neural-network conditioning of type-B thermocouple with variable reference-junction temperature

2009 2nd International Conference on Adaptive Science & Technology (ICAST), 2009, p.296-300

2009

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Analysis of internet of things malware using image texture features and machine learning techniques

MODELLING MALWARE PROPAGATION ON THE INTERNET OF THINGS USING AN AGENT BASED APPROACH ON COMPLEX NETWORKS

Epidemic model formulation and analysis for diarrheal infections caused by salmonella

Challenge Paper: Towards Open Datasets for Internet of Things Malware

Deception in Web Application Honeypots: Case of Glastopf

Internet of Things Malware : A Survey

A system to evaluate the presence of a diarrheal epidemic caused by Shigella and Salmonella

Linear Conditioning of an NTC Thermistor Using Nonlinear Operational Amplifier Circuits

The Role of Deception in Securing Our Cyberspace: Honeypots Are a Viable Option

Formal Specification for Internet of Things Malware

Transfer Learning for Internet of Things Malware Analysis

Low power vlsi implementation schemes for dct-based image compression

Feedforward neural-network conditioning of type-B thermocouple with variable reference-junction temperature

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