Autoencoders Based Optimized Deep Learning Model for the Detection of Cyber Attack in IoT Environment

Gupta, Brij B.; Gaurav, Akshat; Chui, Kwok Tai; Arya, Varsha; Choi, Chang

doi:10.1109/icce59016.2024.10444394

2024 IEEE International Conference on Consumer Electronics (ICCE) 2024

DOI: 10.1109/icce59016.2024.10444394

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Autoencoders Based Optimized Deep Learning Model for the Detection of Cyber Attack in IoT Environment

Brij B. Gupta,

Akshat Gaurav,

Kwok Tai Chui

et al.

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2025

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Cited by 1 publication

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Integration of IoT With Robotics and Drones

Gupta,

2025

Advances in Computational Intelligence and Robotics

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This chapter explores the synergistic integration of the internet of things (IoT) with robotics and drones, highlighting how this convergence is revolutionizing industrial operations and capabilities. It delves into the mechanisms through which IoT devices and sensors enhance the autonomy, efficiency, and intelligence of robotic systems and drones, enabling real-time data exchange and analysis. The chapter discusses the implementation of IoT for advanced monitoring, predictive maintenance, and seamless operational control, illustrating its impact through practical examples across various sectors. It also addresses the challenges of scalability, security, and interoperability, presenting forward-looking strategies to navigate these hurdles. By emphasizing the transformative potential of IoT in augmenting the capabilities of robotics and drones, the chapter underscores the pivotal role of IoT in driving innovation and operational excellence in the digital age.

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Integration of IoT With Robotics and Drones

Gupta,

2025

Advances in Computational Intelligence and Robotics

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Autoencoders Based Optimized Deep Learning Model for the Detection of Cyber Attack in IoT Environment

Cited by 1 publication

References 31 publications

Integration of IoT With Robotics and Drones

Integration of IoT With Robotics and Drones

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