| _version_ | 1866901616761765888 |
|---|---|
| author | Dr. Atul Suresh Patil |
| author_facet | Dr. Atul Suresh Patil |
| contents | <p class="MsoNormal"><strong><span>Abstract:</span></strong></p> <div> <p class="MsoNormal"><span>The rapid expansion of digital technologies has transformed everyday life. Citizens now depend on online platforms for communication, financial transactions, education, public services, and entertainment. However, increased digital participation has also resulted in higher exposure to cyber risks. Many individuals unknowingly engage in activities that may lead to cyber offences, such as sharing unlawful content, clicking phishing links, participating in fraudulent schemes, or violating data protection norms. These actions are often not malicious but arise from lack of awareness, misleading interfaces, or sophisticated social engineering techniques. Traditional cybersecurity systems primarily focus on detecting external attackers, blocking malware, or protecting enterprise networks. Very limited attention has been given to preventing user-side mistakes that may result in accidental cyber violations. Recent reports indicate a steady rise in cyber incidents in India [4][5], emphasizing the need for preventive, citizen-centric cybersecurity mechanisms. This paper proposes the Citizen AI Shield Framework (CASF), an AI-enabled preventive cybersecurity model designed to assist users before risky actions are completed. The framework integrates local AI-based activity monitoring, behavioral risk analysis, intent prediction, and real-time educational alerts. CASF aligns with Indian cyber laws including the Information Technology Act, 2000 [1], the Digital Personal Data Protection Act, 2023 [2], and CERT-In guidelines [3]. The proposed model focuses on proactive prevention rather than reactive punishment. CASF aims to strengthen digital responsibility, reduce accidental cyber violations, and promote safer online behavior among citizens.</span></p> <p class="MsoNormal"><strong><span>Keywords:</span></strong><span> </span><span>Artificial Intelligence, Cybersecurity, Citizen Protection, Preventive Alerts, IT Act 2000, Digital Safety.</span></p> </div> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20326412 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | CITIZEN AI SHIELD FRAMEWORK (CASF): AN AI–CYBERSECURITY COLLABORATION TO PREVENT UNINTENTIONAL CYBER CRIMES BY CITIZENS Dr. Atul Suresh Patil <p class="MsoNormal"><strong><span>Abstract:</span></strong></p> <div> <p class="MsoNormal"><span>The rapid expansion of digital technologies has transformed everyday life. Citizens now depend on online platforms for communication, financial transactions, education, public services, and entertainment. However, increased digital participation has also resulted in higher exposure to cyber risks. Many individuals unknowingly engage in activities that may lead to cyber offences, such as sharing unlawful content, clicking phishing links, participating in fraudulent schemes, or violating data protection norms. These actions are often not malicious but arise from lack of awareness, misleading interfaces, or sophisticated social engineering techniques. Traditional cybersecurity systems primarily focus on detecting external attackers, blocking malware, or protecting enterprise networks. Very limited attention has been given to preventing user-side mistakes that may result in accidental cyber violations. Recent reports indicate a steady rise in cyber incidents in India [4][5], emphasizing the need for preventive, citizen-centric cybersecurity mechanisms. This paper proposes the Citizen AI Shield Framework (CASF), an AI-enabled preventive cybersecurity model designed to assist users before risky actions are completed. The framework integrates local AI-based activity monitoring, behavioral risk analysis, intent prediction, and real-time educational alerts. CASF aligns with Indian cyber laws including the Information Technology Act, 2000 [1], the Digital Personal Data Protection Act, 2023 [2], and CERT-In guidelines [3]. The proposed model focuses on proactive prevention rather than reactive punishment. CASF aims to strengthen digital responsibility, reduce accidental cyber violations, and promote safer online behavior among citizens.</span></p> <p class="MsoNormal"><strong><span>Keywords:</span></strong><span> </span><span>Artificial Intelligence, Cybersecurity, Citizen Protection, Preventive Alerts, IT Act 2000, Digital Safety.</span></p> </div> |
| title | CITIZEN AI SHIELD FRAMEWORK (CASF): AN AI–CYBERSECURITY COLLABORATION TO PREVENT UNINTENTIONAL CYBER CRIMES BY CITIZENS |
| url | https://doi.org/10.5281/zenodo.20326412 |