Video Steganography System Based on Optical Flow for Object Detection

Zouak, Abdellatif; Busawon, Krishna; Li, Xicong

doi:10.1109/csndsp60683.2024.10636505

2024 14th International Symposium on Communication Systems, Networks and Digital Signal Processing (CSNDSP) 2024

DOI: 10.1109/csndsp60683.2024.10636505

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Video Steganography System Based on Optical Flow for Object Detection

Abdellatif Zouak,

Krishna Busawon,

Xicong Li

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2024

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Steganography in Cloud Computing Environments

Nithyashree,

Pawankumar,

2024

Advances in Information Security, Privacy, and Ethics

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This chapter examines how steganography can enhance security in cloud-based environmental pollution monitoring systems using IoT sensors. It covers various steganographic methods for different media and their potential use in protecting environmental data. The study explores advanced techniques like DNA-based and deep learning approaches, particularly in cloud settings. The research addresses challenges and ethical issues, including legal and privacy concerns, associated with applying steganography to environmental monitoring. It presents case studies on air and water quality monitoring to illustrate the practical benefits and limitations of integrating these technologies. The review concludes by looking at emerging trends such as quantum steganography and AI-driven methods, stressing the need to balance data security with transparency in environmental research.

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Steganography in Cloud Computing Environments

Nithyashree,

Pawankumar,

2024

Advances in Information Security, Privacy, and Ethics

View full text Add to dashboard Cite

show abstract

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Video Steganography System Based on Optical Flow for Object Detection

Cited by 1 publication

References 10 publications

Steganography in Cloud Computing Environments

Steganography in Cloud Computing Environments

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