{"title":"Real Impact of the Blockchain in Securing a ToIP Network","authors":"Sekoude Jehovah-nis Pedrie Sonon, Tahirou Djara, Matine Abdoul Ousmane, Abdou-Aziz Sobabe","doi":"10.4018/ijsppc.324165","DOIUrl":"https://doi.org/10.4018/ijsppc.324165","url":null,"abstract":"Telephony over IP (ToIP) is a cost-saving communication technology based on voice over IP (VoIP) that enables enterprises to reduce communication fees. However, ToIP faces many security threats due to its IP-based nature. This work aims to improve ToIP security using cryptography and blockchain technology. The authors propose a secure approach to user registration, authentication, communication session establishment, and communication data storage. The proposed solution leverages blockchain technology to ensure the integrity, confidentiality, and availability of communication data. By implementing this solution, the researchers aim to enhance the security of ToIP networks and protect them from cyber threats. This approach provides a secure and reliable way to support ToIP services while preserving confidentiality and privacy.","PeriodicalId":278930,"journal":{"name":"International Journal of Security and Privacy in Pervasive Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130530762","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Varun Kharbanda, None Seetharaman A, None Maddulety K
{"title":"Journal","authors":"Varun Kharbanda, None Seetharaman A, None Maddulety K","doi":"10.4018/ijsppc.318676","DOIUrl":"https://doi.org/10.4018/ijsppc.318676","url":null,"abstract":"Artificial intelligence (AI) has emerged as the most widely applicable field across varied industries. Being an evolving technology, it may be quite useful in sensitive areas such as cyber security where there is a dire need for implementation of AI technologies, such as expert systems, neural networks, intelligent agents, and artificial immune systems. The primary reason for AI fitment to cyber security area is its ability to detect anomalies proactively and predictively in the network, thereby working towards securing the network before the damage related to loss of data and/or reputation is done. There are different types of AI technologies as mentioned above that could be applied in cyber security in its varied forms. In this paper, the emphasis is on specific AI technologies that can bring unique benefits to the cyber security field with its unique applicability to different scenarios. The outcome of this study shows that AI technologies such as expert systems, neural networks, intelligent agents, and artificial immune systems are transforming the landscape for managing cyber threats.","PeriodicalId":278930,"journal":{"name":"International Journal of Security and Privacy in Pervasive Computing","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136166929","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Do ChatGPT and Other AI Chatbots Pose a Cybersecurity Risk?","authors":"Glorin Sebastian","doi":"10.4018/ijsppc.320225","DOIUrl":"https://doi.org/10.4018/ijsppc.320225","url":null,"abstract":"The rise of artificial intelligence (AI) has opened up new frontiers in various fields, including natural language processing. One of the most significant advancements in this area is the development of conversational agents (i.e., chatbots), which are computer programs designed to interact with humans through messaging interfaces. The emergence of large language models, such as ChatGPT, has enabled the creation of highly sophisticated chatbots that can mimic human conversations with impressive accuracy. However, the use of these chatbots also poses significant cyber risks that must be addressed. This research paper seeks to investigate the cyber risks associated with the use of ChatGPT and other similar AI-based chatbots, including potential vulnerabilities that could be exploited by malicious actors. As part of this research, a survey was conducted to explore the cybersecurity risks associated with AI-based chatbots like ChatGPT. Further, the paper also suggests mitigation methods that can be used to mitigate these cyber risks and vulnerabilities.","PeriodicalId":278930,"journal":{"name":"International Journal of Security and Privacy in Pervasive Computing","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136174732","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The Meaning of Privacy in the Digital Era","authors":"J. Adams, Hala Almahmoud","doi":"10.4018/ijsppc.318675","DOIUrl":"https://doi.org/10.4018/ijsppc.318675","url":null,"abstract":"The key research objective of the current study is to answer the following research question: Why is ‘privacy' a contested concept that is hard to define? In doing so, the study will raise awareness of the contemporary meaning of ‘privacy' in relation to cyber activities and to draw attention to the need for developing the right to cyber privacy and its legal protection. Hence, the current study has embarked on analysing the meaning of privacy in general, and the meaning of cyber or online privacy in particular. As a result, privacy has been found to be a perennially contestable concept, and this is exacerbated by the ever more rapidly developing digital world and also by the diverse perceptions which vary across societies, cultures, and generations. This has created a big challenge for regulators and legislators to define a specific privacy right that can be accorded with a legal protection against violations across national and international jurisdictions. However, the right to privacy has been found to be vague and open to multiple, competing interpretations.","PeriodicalId":278930,"journal":{"name":"International Journal of Security and Privacy in Pervasive Computing","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-03-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121516383","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A bio- medical Question Answering system for the Malayalam language using word embedding and Bidirectional Encoder Representation from Transformers.","authors":"","doi":"10.4018/ijsppc.302009","DOIUrl":"https://doi.org/10.4018/ijsppc.302009","url":null,"abstract":"Conversational search is the dominant intent of Question Answering, which is achieved through different NLP techniques, Deep Learning models. The advent of Transformer models has been a breakthrough in Natural Language Processing applications, which has attained a benchmark on state of NLP tasks such as question answering. Here we propose a semantic Malayalam Question Answering system that automatically answers the queries related to health issues. The Biomedical Question-Answering, especially in the Malayalam language, is a tedious and challenging task. The proposed model uses a neural network-based Bidirectional Encoder Representation from Transformers (BERT), to implement the question answering system. In this study, we investigate how to train and fine-tune a BERT model for Question-Answering. The system has been tested with our own annotated Malayalam SQUAD form health dataset. In comparing the result with our previous works - Word embedding and RNN based model, identified we find that our BERT model is more accurate than the previous models and achieves an F1 score of 86%.","PeriodicalId":278930,"journal":{"name":"International Journal of Security and Privacy in Pervasive Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132872061","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}