… unbroken in protecting users’ privacy, existing studies have … : (i) the effectiveness of the
framework design for encrypted traffic … As a countermeasure, we suggest that in such a case the …

… novel framework for privacy-preserved traffic sharing among … In this case, we formulate
the traffic flow sharing as a max–… This section evaluates the effectiveness of our algorithms …

… traffic analysis proposed in the standard and show that they are not effective. We find that
in the case of encrypted DNS, contrary to web traffic… its effectiveness to that of Web traffic …

… traffic analysis techniques that aim to harm user privacy. … First, we divide the works based
on their use case and … learning aided capsule network for efficient classification. Their …

… privacy risks and challenges associated with such a trend. A typical measure is to perform
network traffic monitoring to prioritise and balance traffic … efficient way, and in the former case …

… However, these schemes were not efficient to be used in practice. … , which makes ZKRP a
special case of ZKSM. ZKRP allows the … In the beginning, a CV riding over the area covered by …

… In particular, we analyze the efficiency of these strategies against … In the case of encrypted
web traffic, our proxy performs a man… and propose a trade-off between privacy protection and …

… efficiency but neglects privacy security of the IoT data, eg, data analysis for network traffic …
, but previous efforts to recover the network traffic data tensor have focused on increasing …

… traffic status. Extensive experiments on real data sets demonstrate the effectiveness of our
work. … Especially, for the case that the source s and the target t are in the same leaf node, it …

… , a privacy-aware, accurate, and time-efficient traffic flow … first models the distributed traffic
sensor data with privacy into … traffic data recorded by sensors is often sensitive and covers …