33 research outputs found
Smart application in climate change policy for India
No full textThe world has always been divided based on access to technology. Since the dawn of humanity, the idea of evolving and utilizing the best of resources gave birth to the advent of technological evolution. Amidst all of this, our human lives have been transformed by technology in the form of personal belongings, like a phone, which is now smart enough to do almost any function that you can imagine. It states that technology has definitely made our lives easier and engaging for the most part; however, one must not forget that there are challenges of the technological prowess as well. Technology is now taking the next step already where data is the fuel and based on that, technology is stepping up to play the role in the world of government policies and governance initiative. This chapter wants to highlight the importance of technology and governance of urban resources especially with the onset of the more intense discussions on climate change, global warming, etc
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RECENT ADVANCES IN INTERNET OF THINGS SECURITY.
No full textThe growth of the Internet of Things (IoT) technology has indeed led to an increase in cybersecurity issues. While the Internet of Things enhances accessibility, integrity, availability, scalability, confidentiality, and interoperability among devices, it also faces vulnerabilities due to its diverse attack sources and lack of standardization in security protocols. This makes Internet of Things systems particularly susceptible to cyberattacks. It is essential to ensure proper security measures are in place to protect Internet of Things devices and networks, given their critical role in modern communications and the evolving threat landscape. Always remember to verify important security information from trusted sources.Recent Advances in Internet of Things Security discusses the critical importance of robust security frameworks to protect Internet of Things ecosystems against various cyber threats. It highlights the security risks associated with Internet of Things devices and applications and presents a variety of potential solutions. It is essential to remain aware of these challenges to effectively safeguard Internet of Things systems. This book delves into the complexities of IoT security, exploring a range of vulnerabilities across different layers of the IoT architecture.The book provides a comprehensive overview of Internet of Things security, emphasizing the significance of securing Internet of Things products and applications. It serves as a foundational resource for young researchers, academics, and industry professionals keen on advanced security solutions within the Internet of Things landscape, reflecting the current state of research and ongoing challenges in this field
SIP Authentication Protocols Based On Elliptic Curve Cryptography: Survey and comparison
Get PDFSession Initiation Protocol (SIP) is the most popular signaling protocol using in order to establish, modify and terminate the session multimedia between different participants. It was selected by the Third Generation Project Partnership (3GPP) as a multimedia application protocol in 3G mobile networks. SIP is the protocol currently used for signaling ToIP calls. The security of SIP is becoming more and more important. Authentication is the most important security service required by SIP. To ensure a secured communication, many SIP authentication protocols have been proposed. This work provides an overview of the proposed schemes based on elliptic curve cryptography. Those proposed schemes are analyzed in security consideration and the computational cost
Classification of diseases in tomato leaves with Deep Transfer Learning
Full text linkPlant diseases are important factors because they significantly affect the quality, quantity, and yield of agricultural products. Therefore, it is important to detect and diagnose these diseases at an early stage. The overall objective of this study is to develop an acceptable deep learning model to correctly classify diseases on tomato leaves in RGB color images. To address this challenge, we use a new approach based on combining two deep learning models VGG16 and ResNet152v2 with transfer learning. The image dataset contains 55 000 images of tomato leaves in 5 different classes, 4 diseases and one healthy class. The results of our experiment are promising and encouraging, showing that the proposed model achieves 99,08 % accuracy in training, 97,66 % in validation, and 99,0234 % in testin
A New Efficient SIP Authentication and Key Agreement Protocol Based on Chaotic Maps and Using Smart Card
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