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Deep Learning for Security and Privacy Preservation in IoT

Part of the Signals and Communication Technology Book Series

Editors: Makkar, Aaisha; Kumar, Neeraj

DOI: 10.1007/978-981-16-6186-0

ISBN: 978-981-16-6185-3

Publisher: Springer Singapore - Springer Journals

Apr 4, 2022

1 - 9 of 9 Chapters

LitStream

Chapter 1Metamorphosis of Industrial IoT using Deep Leaning

Biswas, Asmita; Guha Roy, Deepsubhra

Pages: 1 –30

[Smart production is the technical progression of the global moratorium's (IIoT) Industrial Things Internet. Currently, the (IoT) Internet of Things is the omnipresent adoption of a shared environment with diverse entities; for example, share erudition in a full spectrum of device implementations...
LitStream

Chapter 2Deep Learning Models and Their Architectures for Computer Vision Applications: A Review

Dutta, Tanima; Bagi, Randheer; Gupta, Hari Prabhat

Pages: 31 –48

[Deep learning is a modern and inspiring field of machine learning with a built-in ability to overcome from the shortcoming of conventional algorithms, which are dependent on hand-crafted features. Deep learning approaches have become one of the most recognizable solutions for multimedia and...
LitStream

Chapter 3IoT Data Security with Machine Learning Blckchain: Risks and Countermeasures

Mondal, Koustav Kumar; Guha Roy, Deepsubhra

Pages: 49 –81

[The IoT devices being involved in various applications, protection, and data confidentiality have become significant concerns nowadays. Security intimidations are rising at an alarming rate, rendering the current protection and privacy initiatives insufficient. Therefore everybody else on the...
LitStream

Chapter 4A Review on Cyber Crimes on the Internet of Things

Kagita, Mohan Krishna; Thilakarathne, Navod; Gadekallu, Thippa Reddy; Maddikunta, Praveen Kumar Reddy; Singh, Saurabh

Pages: 83 –98

[Internet of Things (IoT) devices are rapidly becoming universal. The success of IoT can’t be ignored in today’s scenario; along with its attacks and threats on IoT devices and facilities are also increasing day by day. Day by day cyber-attacks are becoming a part of IoT and affecting the life...
LitStream

Chapter 5Deep Learning Framework for Anomaly Detection in Iot Enabled Systems

Selvakumar, B.; Sridhar Raj, S.; Vijay Gokul, S.; Lakshmanan, B.

Pages: 99 –111

[In recent years, the rapid advancement in IoT-enabled systems emerges in various domains like healthcare monitoring systems, disaster management systems, environmental monitoring systems, and smart cities so on. However, it attracts the attackers to exploit and damage the IoT enabled systems....
LitStream

Chapter 6Anomaly Detection Using Unsupervised Machine Learning Algorithms

Kadiyala, Pavitra; Shanmukhasai, K. V.; Budem, Sai Shashank; Maddikunta, Praveen Kumar Reddy

Pages: 113 –125

[In recent times, Machines malfunction due to the anomalies present in the sensors that lead to a lot of losses. The malfunction of one machine can lead to a lot of problems overall in the system or can harm an individual if they are close to the machine. Anomaly detection is important because it...
LitStream

Chapter 8Game Theory Based Privacy Preserving Approach for Collaborative Deep Learning in IoT

Gupta, Deepti; Bhatt, Smriti; Bhatt, Paras; Gupta, Maanak; Tosun, Ali Saman

Pages: 127 –149

[The exponential growth of Internet of Things (IoT) has become a transcending force in creating innovative smart devices and connected domains including smart homes, healthcare, transportation and manufacturing. With billions of IoT devices, there is a huge amount of data continuously being...
LitStream

Chapter 9Deep Learning Based Security Preservation of IoT: An Industrial Machine Health Monitoring Scenario

Nath, Aneesh G.; Singh, Sanjay Kumar

Pages: 151 –167

[IoT creates a smart environment in which devices and sensors share information across different platforms. Most of the IoT related issues and challenges are addressed concerning applications such as smart home, smart office, smart city, smart agriculture, intelligent transportation, etc. But it...
LitStream

Chapter 10Deep Learning Models: An Understandable Interpretable Approach

Batra, Reenu; Mahajan, Manish

Pages: 169 –179

[In many of applications which are mainly related to image, text, audio, video, graphics etc. mainly consist of task like classification and prediction. Classification and prediction tasks are to be done in different manner. The best level accuracy can be achieved by deep neural networks. The...

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