Keywords: data leakage, JPEG forensics, steganography, cloud misconfiguration, incident response, metadata sanitisation
| Domain | Representative Works | Relevance to This Study | |--------|----------------------|--------------------------| | | Fridrich, J. Steganography in Digital Media (2009). Zhou, W. et al., “Deep‑Learning‑Based Steganalysis”, IEEE TIFS (2020). | Provides algorithms for detecting LSB and DCT‑based hidden payloads. | | Cloud Misconfiguration | K. Scarfone & P. Mell, “Guide to Cloud Computing Security”, NIST SP 800‑144 (2020). R. H. Kaur, “S3 Bucket Exposure: Real‑World Cases”, USENIX Security (2021). | Supplies taxonomy of misconfigurations that led to data leaks. | | Incident Response Frameworks | ENISA, “Incident Response Guidelines” (2022). MITRE ATT&CK for Enterprise, “Exfiltration Over Web Services” (2023). | Basis for our response timeline and attribution methodology. | | Metadata Sanitisation | S. J. Barker, “Automated EXIF Stripping in CI Pipelines”, ACM CCS (2022). | Motivates our recommendation for CI‑integrated sanitisation. | Ss T33n L3aks 5 22 jpg
Education plays a pivotal role in enhancing online safety and privacy. By promoting awareness about the potential risks and teaching best practices, individuals can better protect themselves in the digital world. Parents, educators, and policymakers all have a role to play in fostering a culture of online responsibility and safety. Scarfone & P