| Title: | Cyber security and data protection |
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| Authors: | ID Đukić, Saša (Author) |
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| Files: |  URL - Source URL, visit https://www.pokarh-mb.si/storage/app/media/Moderna_arhivistika_2025_1/07_Dzukic_2025.pdf
 PDF - Presentation file, download (785,70 KB)
MD5: 6029591E0552135D43D9D294E08AA426
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| Language: | English |
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| Typology: | 1.03 - Other scientific articles |
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| Organization: |  PAM - Regional Archives Maribor
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| Abstract: | In an era dominated by digital transformation, cybersecurity and data protection have become critical to safeguarding sensitive information and ensuring the integrity of online systems. Cybersecurity focuses on protecting networks, systems, and data from malicious attacks, including phishing, ransomware, and advanced persistent threats. Meanwhile, data protection emphasizes the ethical and legal handling of personal and corporate information, ensuring compliance with regulations such as the General Data Protection Regulation (GDPR) and the California Consumer Privacy Act (CCPA). As cyber threats continue to evolve, organizations must adopt proactive security measures, such as Zero Trust Architecture (ZTA), artificial intelligence-driven threat detection, and encryption technologies. Additionally, privacy-enhancing technologies (PETs) and post-quantum cryptographic solutions are emerging as key tools in data security. To mitigate risks effectively, companies should implement multi-factor authentication (MFA), conduct regular risk assessments, train employees on security awareness, and establish comprehensive incident response plans. This paper explores the significance of cybersecurity and data protection, the latest trends in security technologies, and best practices for mitigating cyber threats. By adopting a strategic approach to cybersecurity and compliance, organizations can enhance their resilience against cyber risks while fostering trust in the digital landscape. |
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| Keywords: | cybersecurity, data protection, digital ecosystem, cyber theats, data reaches, risk assessment, artifical inteligence, machine learning, phishing, ransomware, accountability |
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| Publication status: | Published |
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| Publication version: | Version of Record |
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| Publication date: | 01.01.2025 |
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| Year of publishing: | 2025 |
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| Number of pages: | str. 77-85 |
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| Numbering: | Letn. 8, št. 1 |
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| PID: | 20.500.12556/DiRROS-31543  |
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| UDC: | 930.25:004.3 |
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| ISSN on article: | 2591-0884 |
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| DOI: | 10.54356/MA/2025/HAZD7569 |
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| COBISS.SI-ID: | 250752259 |
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| Note: | Nasl. z nasl. zaslona;
Opis vira z dne 26. 9. 2025;
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| Publication date in DiRROS: | 05.08.2026 |
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| Views: | 37 |
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| Downloads: | 20 |
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