Security of streaming media communications with logistic map and self-adaptive detection-based steganography
- Submitting institution
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The University of West London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 11001
- Type
- D - Journal article
- DOI
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10.1109/TDSC.2019.2946138
- Title of journal
- IEEE Transactions on Dependable and Secure Computing
- Article number
- -
- First page
- 1
- Volume
- 0
- Issue
- -
- ISSN
- 1545-5971
- Open access status
- Compliant
- Month of publication
- -
- Year of publication
- 2019
- URL
-
-
- Supplementary information
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-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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3
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- Secure streaming media communication requires the integrity of the message embedded into streaming packets. This paper is significant because it devises a new self-adaptive steganographic algorithm that ensures the integrity of covert VoIP communication over the Internet, which is finding its way into several applications. This is the first ever effort to secure a covert VoIP communication system using a chaotic logistic map. The algorithm can be embedded into products including healthcare IoT devices, smart home systems, intelligent transportation systems and industrial equipment. This was a research outcome of an international collaboration (National_Natural_Science_Foundation_of_China, Grant 61272469, PI: Prof. S. Tang).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -