Telefonaktiebolaget Lm Ericsson (publ)

Mengyuan Zhang

Makan Pourzandi

Lingyu Wang

Mourad Debbabi

Yosr Jarraya

Meisam Mohammady

Momen Oqaily

Yuan Hong

Sudershan Lakshmanan Thirunavukkarasu

Shangyu Xie

Han Wang

Suryadipta Majumdar

A method, system and apparatus are disclosed. According to one or more embodiments, a data node is provided. The data node includes processing circuitry configured to: receive an anomaly estimation for a first privatized dataset, the first private dataset being based on a dataset and a first noise profile, apply a second noise profile to the dataset to generate a second privatized dataset, the second noise profile being based at least on the anomaly estimation, and optionally cause transmission of the second privatized dataset for anomaly estimation.

DPOD: differentially private outsourcing of anomaly detection

A method, system and apparatus are disclosed. In one or more embodiments, a differential privacy, DP, node is provided. The DP node includes processing circuitry configured to: receive a query request; receive a first input corresponding to a utility parameter; receive a second input corresponding to a privacy parameter; select a baseline DP mechanism type based at least on a query request type of the query request, the first input and the second input, where the baseline DP mechanism type includes at least a noise parameter; generate a noise distribution based on the baseline DP mechanism type using a first value of the noise parameter; and determine a DP query result based on applying the noise distribution to the query request applied on a data set.

Utility optimized differential privacy system

A method, system and apparatus are disclosed. According to one or more embodiments, a detection node in communication with a network function virtualization, NFV, system operating a NFV stack that is logically separable into a plurality of levels including a first level and a second level is provided. The detection node includes processing circuitry configured to: translate an executed first level event sequence to at least one translated second level event sequence, and compare the at least one translated second level event sequence to an executed second level event sequence to at least in part detect inconsistencies between the at least one translated second level event sequence and the executed second level event sequence where the executed second level event sequence and the executed first level event sequence being part of a multi-level sequence flow.

System for translation-based real-time inconsistency detection in network functions virtualization (NFV)

Systems and methods for anonymizing data are provided herein. A network node can receive privacy constraints from a data owner and utility requirements from at least one data processor. An anonymization mechanism can be selected for each data attribute in a data set, based on its specified privacy constraint and/or utility requirement, from the available anonymization mechanism(s) appropriate for its associated attribute type.

Data anonymization views

Growing community of inventors

Hong Kong, China

Mengyuan Zhang