This book presents the proceedings of the International Conference on Computer Networks, Big Data and IoT (ICCBI-2018), held on December 19-20, 2018 in Madurai, India.

In recent years, advances in information and communication technologies [ICT] have collectively aimed to streamline the evolution of internet applications. In this context, increasing the ubiquity of emerging internet applications with an enhanced capability to communicate in a distributed environment has become a major need for existing networking models and applications. To achieve this, Internet of Things [IoT] models have been developed to facilitate a smart interconnection and information exchange among modern objects - which plays an essential role in every aspect of our lives. Due to their pervasive nature, computer networks and IoT can easily connect and engage effectively with their network users. This vast network continuously generates data from heterogeneous devices, creating a need to utilize big data, which provides new and unprecedented opportunities to process these huge volumes of data. This International Conference on Computer Networks, Big Data, and Internet of Things [ICCBI] brings together state-of-the-art research work, which briefly describes advanced IoT applications in the era of big data. As such, it offers valuable insights for researchers and scientists involved in developing next-generation, big-data-driven IoT applications to address the real-world challenges in building a smartly connected environment.

Inhalt

Comprehensive Survey on Detection of Living or Dead Humans and Animals Using Different Approaches.- Biometric Passport Security Using Encrypted Biometric Data Encoded in the HCC2D Code.- Brain tumour Identification through MRI Images Using Convolution Neural Networks.- Contagious Diseases Prediction in Healthcare over Big Data.- Recognition of Characters in a Securely Transmitted Medical Image.- Efficiency Improvement in Code Emulation by Soft Computing Technique.- Energy Aware Routing Applications for Internet of Things.- Ameliorated Domain Adaptation Using Adaptive Classification Algorithm.- Biometric Image Processing Recognition in Retinal Eye using Machine Learning Technique.