Generalized localization system based on physical layer supported spoofing detection and identification verification

Patent metadata

Field	Value
Publication number	US-2022053020-A1
Application number	US-201917274791-A
Country	US
Kind code	A1
Filing date	Sep 17, 2019
Priority date	Sep 21, 2018
Publication date	Feb 17, 2022
Grant date	—

Abstract

A generalized localization system based on a physical layer aided spoofing signal attacks detection and an identification verification for hybrid heterogeneous networks including aerial and terrestrial communication systems is provided. The generalized localization system includes: a data preprocessing and separation block, a parameter extraction block, a local localization engine, a reliability assessment and trust management block, a location based anomaly detector block and a global fusion center.

First claim

What is claimed is:

1 . A localization system, comprising:
a data preprocessing and separation block, wherein the data preprocessing and separation block transmits physical layer information, wherein the physical layer information comprises a received signal strength and a time of arrival and the data preprocessing and separation block allows the physical layer information to be converted into a vector format and/or a matrix format, a parameter extraction block, wherein the parameter extraction block enables the physical layer information to be transmitted and environment-related parameters to be estimated, the environment-related parameters affect a localization performance. wherein the localization performance comprises a path loss exponent, shadowing and fading levels, a blockage probability and line of sight and non-line of sight transmission probabilities, a local localization engine, wherein the local localization engine receives outputs of the data preprocessing and separation block and the parameter extraction block in terrestrial systems, the local localization engine is designed to perform a localization via data of each network in hybrid heterogeneous networks, and the local localization engine enables to locally determine unknown locations of users by a machine learning based localization algorithm, a reliability assessment and trust management block, wherein the reliability assessment and trust management block allows system parameters obtained by collecting the physical layer information of the parameter extraction block and recalculation of the system parameters related to the each network and updating the physical layer information to be transmitted and a reliability level of location estimations of the each network to be determined by comparing previous parameter values with updated parameter values, and the reliability assessment and trust management block increases a global localization performance, a location based anomaly detector block, wherein the location based anomaly detector block recalculates locations of nodes in order to determine if there is a spoofing signal attack between the data preprocessing and separation block and the parameter extraction block and compares a calculated location value and a known location value with location values received from the local localization engine and the location based anomaly detector block determines an attack is present if the calculated location value is higher than a predetermined reliability level, a global fusion center, wherein the global fusion center, upon determining information associated the unknown locations of the users for the each network in the hybrid heterogeneous networks comprising both aerial and the terrestrial systems and weights of the hybrid heterogeneous networks relative to a localization reliability, receives the information associated the unknown locations of the users.

Assignees

• Univ Istanbul Teknik
• Gebze Teknik Univ

Inventors

• Buyukcorak Saliha
• Karabulut Kurt Gunes Zeynep

Classifications

• G06N7/01

  Probabilistic graphical models, e.g. probabilistic networks · CPC title

• H04L63/1466 Primary

  Active attacks involving interception, injection, modification, spoofing of data unit addresses, e.g. hijacking, packet injection or TCP sequence number attacks · CPC title

• H04L63/1425

  Traffic logging, e.g. anomaly detection · CPC title

• H04W64/00

  Locating users or terminals {or network equipment} for network management purposes, e.g. mobility management · CPC title

• G06F11/3006

  where the computing system is distributed, e.g. networked systems, clusters, multiprocessor systems (multiprogramming arrangements G06F9/46; allocation of resources G06F9/50) · CPC title