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Found 5 papers, 1 papers with code
A Novel Steganography Technique for Digital Images Using the Least Significant Bit Substitution Method
Embedding different sizes of a particular secret message in a different image (such as Gray, Texture, Aerial and RGB images) came out with about 5. 466 percent of better score.
An Efficient Privacy-Preserving Multi-Keyword Query Scheme in Location Based Services
In this article, aiming at a multi-keywords query in LBS, we propose a novel efficient and privacy-preserving multi-keyword query scheme (PPMQ) over the outsourced cloud, which satisfies the requirements of the location and query content privacy protection, query efficiency, the confidentiality of LBS data and scalability regarding the data users.
IMPACT: Impersonation Attack Detection via Edge Computing Using Deep Autoencoder and Feature Abstraction
Specifically, the study proposes a lightweight ML-based IDS model namely IMPACT (IMPersonation Attack deteCTion using deep auto-encoder and feature abstraction).
A Privacy-Preserving Trust Model Based on Blockchain for VANETs
A set of experiments is conducted to evaluate BARS in terms of security, validity, and performance, and the results show that BARS is able to establish a trust model with transparency, conditional anonymity, efficiency, and robustness for VANETs.
Using Data Mining to Predict Hospital Admissions From the Emergency Department
This paper highlights the potential utility of three common machine learning algorithms in predicting patient admissions.
