Towards a Novel and Efficient Public Key Management for Peer-Peer Security in Wireless Ad-Hoc/sensor Networks

Joseph, Abin John; Sani, Nidhin; V, Vineeth M.; Kumar, K. Suresh; Kumar, T. Ananth; Raghavan, Nagarajan

doi:10.1109/icstsn53084.2022.9761304

Cited by 7 publications

(7 citation statements)

References 14 publications

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“…The second category consists of pre-established systems, such as frame-based systems. Chatbots can be classified into two categories based on their capabilities: generative model chatbots and retrieval model chatbots [11]. Chatbots that utilize search models for generating pertinent outcomes achieve this by extracting information from pre-existing knowledge bases.…”

Section: ░ 2 Related Workmentioning

confidence: 99%

AI-Powered Interactive Chatbot for Mental Health Support: Leveraging Machine Learning for Enhanced Treatment

Abinaya S.,

Ashikha A.,

Dhanusha S.

et al. 2024

IIJSR

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This paper describes the development of an interactive chatbot intended for use in mental health therapy; the chatbot is implemented using machine learning techniques. The frontend interface of the chatbot was developed utilizing React.js, facilitating seamless user interaction. Individuals grappling with mental health conditions, such as depression, have the ability to obtain customized assistance through a backend built on Python that analyzes and processes user input. Significantly, the model prioritizes user privacy and data security by employing robust encryption and data handling protocols to safeguard sensitive information. The chatbot can decipher complex user interactions and provide personalized responses and interventions based on the specific needs and circumstances of each individual by employing machine learning. Additionally, the chatbot is equipped with capabilities to efficiently detect and respond to emergency situations, ensuring that the safety and well-being of users are at all times assured. Furthermore, this paper highlights the ongoing endeavours to enhance the efficacy and responsiveness of the chatbot via research and development.

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Section: ░ 2 Related Workmentioning

confidence: 99%

AI-Powered Interactive Chatbot for Mental Health Support: Leveraging Machine Learning for Enhanced Treatment

Abinaya S.,

Ashikha A.,

Dhanusha S.

et al. 2024

IIJSR

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“…The complications identi ed during the encryption and decryption process is because of the shortage in power and the memory accessibility. Lot of techniques were implied for the encryption and decryption process, some of such technique is DES, AES, 3-DES, ECC and hash functions etc [12].…”

Section: Security Approaches In Iotmentioning

confidence: 99%

Efficient Privacy Preserving Lightweight Cryptography for Multi-hop Clustering in Internet of Vehicles Network

Kumar,

Dubey,

kumar

et al. 2023

Preprint

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The Internet of Vehicles (IoV) is an element of the global connectivity infrastructure Connected vehicles are beneficial to the health of their users in a significant way. However, several drawbacks have been identified, creating the potential for compromised Internet of Vehicles devices. Moreover, the high mobility results in high energy consumption, which reduces the network's overall performance. The Efficient Privacy-preserving Lightweight-cryptography for Cluster-based Internet of Vehicles (EPLC-IoV) model that has been proposed is divided into five distinct sections. These include the perception layer, attack characteristics, a novel clustering strategy, energy-efficient multi-hop clustering along with adaptive link selection through an enhanced AODV protocol. Additionally, the proposed system performed identity authentication and protected users' privacy in some use cases, making V2V communication messages more trustworthy by allowing anonymous trust relationship authentication. Because, the proposed system allowed for anonymous authentication trust relationships, between vehicle nodes. The proposed model was evaluated alongside several established methodologies, including AODV, EPAM, and EMSUNET. The significant parameters focused in this work are packet delivery ratio (PDR), i.e., increased up to 82%, End to End delay (E2E_Delay) decreased up to above 50%, leading to the improved network lifetime.

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“…The application of blockchain technology in agriculture has the potential to solve a number of problems, including agri-product fraud, difficulties in traceability, price manipulation, and a decrease in consumer trust [13]. This technology has the potential to greatly benefit the agricultural industry.…”

Section: ░ 2 Literature Surveymentioning

confidence: 99%

Evaluation of Blockchain Based Solutions to Improve Indian Agriculture

J. Ramapraba,

kumar,

Kanimozhi

2023

IIJSR

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Indian agriculture, a critical pillar of the nation's economy, faces multifaceted challenges, including fragmented land holdings, lack of transparency, information asymmetry, and complex supply chains. This abstract delves into the potential of blockchain technology as a catalyst for comprehensive improvements in the Indian agricultural landscape, offering innovative solutions to these longstanding issues. Blockchain technology, with its decentralized, immutable ledger, holds promise in introducing transparency, traceability, and trust throughout the entire agricultural ecosystem. Blockchain's smart contracts can streamline the crop insurance process, automating claims and ensuring quicker and more accurate payouts to affected farmers. The successful implementation of blockchain technology in Indian agriculture holds the potential to revamp the sector, making it more efficient, transparent, and economically rewarding for all stakeholders. However, the realization of this potential depends on addressing infrastructure challenges, promoting digital literacy among key actors, and fostering cooperation between the government, private sector, and farmers. The comprehensive integration of blockchain solutions is poised to be a transformative step in building a more resilient and sustainable Indian agricultural system.

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Towards a Novel and Efficient Public Key Management for Peer-Peer Security in Wireless Ad-Hoc/sensor Networks

Cited by 7 publications

References 14 publications

AI-Powered Interactive Chatbot for Mental Health Support: Leveraging Machine Learning for Enhanced Treatment

AI-Powered Interactive Chatbot for Mental Health Support: Leveraging Machine Learning for Enhanced Treatment

Efficient Privacy Preserving Lightweight Cryptography for Multi-hop Clustering in Internet of Vehicles Network

Evaluation of Blockchain Based Solutions to Improve Indian Agriculture

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