Titlebook: Security and Privacy in New Computing Environments; 4th EAI Internationa Wenbo Shi,Xiaofeng Chen,Kim-Kwang Raymond Choo Conference proceedi

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An Efficient Unsupervised Domain Adaptation Deep Learning Model for Unknown Malware Detection,re based on supervised learning. However, these methods rely on a large amount of labeled data, which is usually difficult to obtain. Moreover, since the newly emerging malware has a different data distribution from the original training samples, the detection performance of the model will degrade w

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,A Privacy-Aware and Time-Limited Data Access Control Scheme with Large Universe and Public Traceabiicles (UAVs) and the Internet of Drones (IoD). Moreover, Cloud-based IoD supplies an ideal platform for UAV data outsourcing and sharing services to lower their heavy burden. As UAV data are of high sensitivity, the convincing Ciphertext-Policy Attribute-Based Encryption (CP-ABE) can be employed to

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,Multi-party High-Dimensional Related Data Publishing via Probabilistic Principal Component Analysisdataset held by each party contains sensitive personal information, directly aggregating and publishing the local dataset from multiple parties will leak personal privacy. Usually, high-dimensional data are correlated, adding noise directly to the data will cause repeated noise addition and reduce t

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RLPassGAN: Password Guessing Model Based on GAN with Policy Gradient,uessing models based on GAN, e.g. PassGAN are widely studied in recent years. However, there are two problems when dealing with discrete password data using GAN-based models. On the one hand, the non-differentiability of discrete password data may result in the failure of the backward of gradients;

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