Telefonaktiebolaget Lm Ericsson (publ)

Makan Pourzandi

Mats Näslund

Ying Zhang

Tommy Arngren

Bernard Smeets

Mourad Debbabi

Yosr Jarraya

Lingyu Wang

Zhongwen Zhu

Mengyuan Zhang

Meisam Mohammady

Tereza Cristina Melo De Brito Carvalho

Tereza Cristina Carvalho

Mohamed Cheriet

Marcos Antonio Simplicio Junior

Yeda Regina Venturini

Jian Chen

Marcos Antonio Simplicio, Jr

Stere Preda

Michael Liljenstam

Catherine Truchan

Harri Hakala

Daniel Migault

Momen Oqaily

Geoffrey Lefebvre

Eric Dyke

Fereydoun Farrahi Moghaddam

Jon Maloy

András Méhes

Frederic Rossi

Mohamed Fekih Ahmed

Diego Gallo

Cristina Dominicini

Yuan Hong

Habib Louafi

Shangyu Xie

Sudershan Lakshmanan Thirunavukkarasu

Han Wang

Suryadipta Majumdar

Chamseddine Talhi

Taous Madi

Bruno Medeiros De Barros

Amir Alimohammadifar

Vlad Constantin Coroama

Rony Sakuragui

Thiago Rodrigues Meira De Almeida

Tommy Koorevaar

Alireza Shameli-Sendi

Mohamed Fekih-Ahmed

Feras Aljumah

Mats Naslund

Mats NÄSLUND

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

Systems and methods for detecting abnormal User Equipment (UE) behavior in a cellular communications system are disclosed. In some embodiments, a method of operation of a first Network Anomaly Detection (NAD) function associated with a first Radio Access Network (RAN) in a cellular communications system comprises, during a period of time, obtaining information regarding UEs served by the first RAN, detecting that a particular UE has moved from the first RAN to a second RAN, and sending at least some of the information regarding the particular UE to a second NAD function associated with the second RAN. The method further comprises producing a trained partial model of UE behavior for the first RAN, sending corresponding information to the second NAD function, receiving information regarding a trained partial model of UE behavior for the second RAN, generating a trained global model, and performing a prediction of abnormal UE behavior based thereon.

Systems and methods for detection of abnormal UE behavior

Methods, terminal and a data center gateway are provided for allowing efficient debugging and troubleshooting of data session encrypted with Perfect Forward Secrecy (PFS) encryption techniques such as for example the Transport Layer Security (TLS) protocol version 1.3. Embodiments of the invention allow the user terminal to authorize a data center gateway to persistently store one or more encryption keys associated with the data session for use to access the recorded data session and troubleshooting it after the session ended, when faults are detected. When a fault is detected, the user terminal provides authorization to the gateway to persistently store the data session along with one or more encryption key(s). With this, the gateway allows for the data session to be later decrypted and faults to be investigated despite the data session being encrypted with PFS techniques.

Access to content of encrypted data session

A method and apparatus are disclosed for malware detection in service function chains. In one embodiment, a method includes receiving data associated with a service function chain, the service function chain comprising a plurality of virtual components organized into a plurality of hierarchical levels and the data indicating interactions between the virtual components when processing at least one packet through the service function chain; filtering the received data based at least in part on a time-between order relation of the interactions between the virtual components and the hierarchical level of the virtual component; and generating a harmony feature vector for the service function chain by applying a featurization function on the filtered data, the harmony feature vector including metrics, the metrics calculated according to the featurization function for each hierarchical level being based at least in part on metrics calculated for at least one lower hierarchical level.

Malchain detection

Methods and systems for automatic provisioning of security policies for content streaming control within a Content Delivery Network (CDN) are provided. According to one aspect, a method for automatic provisioning of security policies for content streaming control by a network node within a CDN that supports at least one streaming media protocol comprises: obtaining a manifest, the manifest being generated in response to a user requesting a streaming content from the CDN; determining a first security policy associated with the user and/or the requested streaming content in accordance with the manifest; updating a set of firewall rules for implementing security policies in accordance with the determined first security policy; and applying the updated set of firewall rules to validate requests from the user for the streaming content. The policies are dynamically configured and may be sparsely provisioned, e.g., downloaded only to the pertinent nodes and activated only when necessary.

Automatic provisioning of streaming policies for video streaming control in CDN

A method, computing device and system are disclosed for evaluating security of virtual infrastructures of tenants in a cloud environment. At least one security metric may be calculated for virtual infrastructures of a tenant based on information associated with at least one virtual resource of the first tenant and at least one interaction of the at least one virtual resource of the first tenant with at least one virtual resource of at least one other tenant in a multi-tenant virtualized infrastructure. At least one security parameter may be evaluated for the first tenant based at least in part on at least one of the at least one calculated security metric for monitoring a security level of the first tenant relative to the at least one other tenant in the multi-tenant virtualized infrastructure.

Apparatus and method for evaluating multiple aspects of the security for virtualized infrastructure in a cloud environment

A method for cryptographic key management for managing access control is provided. A key is divided into a plurality of portions of the key. Pre-encryption contextual data is received for each of a plurality of devices. The pre-encryption contextual data indicates at least one attribute of a respective device of the plurality of devices before an encryption of the plurality of portions of the key is performed. The plurality of portions of the key are encrypted based at least on the pre-encryption contextual data of the plurality of devices to make the plurality of the portions of the key dependent at least on contextual data corresponding pre-encryption contextual data. Each of the plurality of encrypted portions of the key is distributed to a respective device of the plurality of devices for storage and retrieval.

Cyber-physical context-dependent cryptography

Systems and methods for verifying the validity of a network link are described herein. A verification packet and an associated packet handling flow can be generated and added to a network in order to investigate a link between network nodes (e.g. switches).

Network link verification

A node including processing circuitry configured to: generate anonymized data based at least in part on a first cryptographic key and network data, calculate a coordination vector, generate initialized data based at least in part on the anonymized data, a second cryptographic key and the coordination vector, transmit the initialized data, the random vector, a security policy and instructions to analyze n iterations of the initialized data and the security policy using the random vector and the second cryptographic key, and receive results of the analysis of the n iterations of the initialized data and the security policy using the random vector and the second cryptographic key. The analysis of an m iteration of the n iterations correspond to an analysis of the initialized data with prefix preservation where the analysis of the remaining iterations of the n iterations fail to be prefixed preserved.

Partition-based prefix preserving anonymization approach for network traces containing IP addresses

A node includes processing circuitry configured to encrypt first network data including a first tenant identifier using a first cryptographic key to generate first encrypted data and anonymize the first encrypted data to generate anonymized data where the anonymizing of the first encrypted data includes segmenting the first encrypted data and the anonymizing of the first encrypted data preserving relationships among the first network data associated with the first tenant identifier, encrypt the anonymized data using a second cryptographic key to generate encrypted anonymized data, transmit the encrypted anonymized data, at least one analysis parameter, at least one security policy and instructions to analyze the encrypted anonymized data using the at least one analysis parameter, the at least one security policy and the second cryptographic key, receive analysis data resulting from the analysis of the encrypted anonymized data, and determine verification results from the received analysis data.

Privacy-preserving data verification

Systems and methods are provided for mitigating security attacks by enabling collaboration between security service functions. A Service Function Chaining (SFC) node receives a packet and determines whether to apply a service function to the packet. Responsive to determining that the packet has been treated by the service function, the packet can be reclassified and switched to a different SFC path.

System and method for security service collaboration

The invention is directed to secure content delivery. A device () sends () a content request to a CP () identifying targeted content and a public key (K PUB) of the device. A response () identifies a Content Delivery Network (--), CDN, and includes an authorization token (TOKEN A) and a content key (K-NEW) derived from the public key of the communication device and a private key of the CP. The authorization token is sent () to the CDN and a delivery token (TOKEN B) and delivery node address are received (). The delivery token and content key are sent () to the delivery node and encrypted content is received (), the encrypted content comprises content as initially encrypted by the CP and as further encrypted by the CDN using the content key. The encrypted content is decrypted () using a private key of the device ().

Method and apparatus for secure content caching and delivery

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Montreal, Canada

Makan Pourzandi