Conversational Artificial Intelligence
eBook - ePub

Conversational Artificial Intelligence

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Conversational Artificial Intelligence

About this book

This book reviews present state-of-the-art research related to the security of cloud computing including developments in conversational AI applications. It is particularly suited for those that bridge the academic world and industry, allowing readers to understand the security concerns in advanced security solutions for conversational AI in the cloud platform domain by reviewing present and evolving security solutions, their limitations, and future research directions.

Conversational AI combines natural language processing (NLP) with traditional software like chatbots, voice assistants, or an interactive voice recognition system to help customers through either a spoken or typed interface. Conversational chatbots that respond to questions promptly and accurately to help customers are a fascinating development since they make the customer service industry somewhat self-sufficient. A well-automated chatbot can decimate staffing needs, but creating one is a time-consuming process. Voice recognition technologies are becoming more critical as AI assistants like Alexa become more popular. Chatbots in the corporate world have advanced technical connections with clients thanks to improvements in artificial intelligence. However, these chatbots' increased access to sensitive information has raised serious security concerns. Threats are one-time events such as malware and DDOS (Distributed Denial of Service) assaults. Targeted strikes on companies are familiar and frequently lock workers out. User privacy violations are becoming more common, emphasizing the dangers of employing chatbots. Vulnerabilities are systemic problems that enable thieves to break in. Vulnerabilities allow threats to enter the system, hence they are inextricably linked. Malicious chatbots are widely used to spam and advertise in chat rooms by imitating human behavior and discussions, or to trick individuals into disclosing personal information like bank account details.

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Yes, you can access Conversational Artificial Intelligence by Romil Rawat,Rajesh Kumar Chakrawarti,Sanjaya Kumar Sarangi,Anand Rajavat,Mary Sowjanya Alamanda,Kotagiri Srividya,K. Sakthidasan Sankaran,Piyush Vyas in PDF and/or ePUB format, as well as other popular books in Computer Science & Artificial Intelligence (AI) & Semantics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Table of Contents
  3. Series Page
  4. Title Page
  5. Copyright Page
  6. Preface
  7. 1 A Glance View on Cloud Infrastructures Security and Solutions
  8. 2 Artificial Intelligence Effectiveness for Conversational Agents in Healthcare Security
  9. 3 Conversational AI: Security Features, Applications, and Future Scope at Cloud Platform
  10. 4 Unsupervised BERT-Based Granular Sentiment Analysis of Literary Work
  11. 5 Extracting and Analyzing Factors to Identify the Malicious Conversational AI Bots on Twitter
  12. 6 Evolution and Adoption of Conversational Artificial Intelligence in the Banking Industry
  13. 7 Chatbots: Meaning, History, Vulnerabilities, and Possible Defense
  14. 8 Conversational Chatbot-Based Security Threats for Business and Educational Platforms and Their Counter Measures
  15. 9 Identification of User Preference Using Humanā€“Computer Interaction Technologies and Design of Customized Reporting for Business Analytics Using Ranking Consistency Index
  16. 10 Machine Learning for Automatic Speech Recognition
  17. 11 Conversational Artificial Intelligence at Industrial Internet of Things
  18. 12 Performance Analysis of Cloud Hypervisor Using Network Package Workloads in Virtualization
  19. 13 Evaluation of Chabot Text Classification Using Machine Learning
  20. 14 Enhanced Security in Chatbot
  21. 15 Heart Disease Prediction Using Ensemble Feature Selection Method and Machine Learning Classification Algorithms
  22. 16 Conversational AI: Dialoguing Most Humanly With Non-Humans
  23. 17 Counterfeit Pharmaceutical Drug Identification
  24. 18 Advanced Security Solutions for Conversational AI
  25. 19 Security Threats and Security Testing for Chatbots
  26. 20 ChatBot-Based Next-Generation Intrusion Detection System
  27. 21 Conversational Chatbot With Object Recognition Using Deep Learning and Machine Learning
  28. 22 Automatic Speech Recognition Design Modeling
  29. 23 The Future of Modern Transportation for Smart Cities Using Trackless Tram Networks
  30. 24 Evaluating the Performance of Conversational AI Tools: A Comparative Analysis
  31. 25 Conversational AI Applications in Ed-Tech Industry: An Analysis of Its Impact and Potential in Education
  32. 26 Conversational AI: Introduction to Chatbotā€™s Security Risks, Their Probable Solutions, and the Best Practices to Follow
  33. 27 Recent Trends in Pattern Recognition, Challenges and Opportunities
  34. 28 A Review of Renewable Energy Efficiency Technologies Toward Conversational AI
  35. 29 Messaging Apps Vulnerability Assessment Using Conversational AI
  36. 30 Conversational AI Threat Identification at Industrial Internet of Things
  37. 31 Conversational AIā€”A State-of-the-Art Review
  38. 32 Risks for Conversational AI Security
  39. 33 Artificial Intelligence for Financial Inclusion in India
  40. 34 Revolutionizing Government Operations: The Impact of Artificial Intelligence in Public Administration
  41. 35 Conversational AI and Cloud Platform: An Investigation of Security and Privacy
  42. 36 Chatbot vs Intelligent Virtual Assistance (IVA)
  43. 37 Digital Forensics with Emerging Technologies: Vision and Research Potential for Future
  44. 38 Leveraging Natural Language Processing in Conversational AI Agents to Improve Healthcare Security
  45. 39 NLP-Driven Chatbots: Applications and Implications in Conversational AI
  46. About the Editors
  47. Index
  48. Also of Interest
  49. End User License Agreement