US 10,951,414 B2Granted

Method for securing digital currency

AssigneeHub Data Security Ltd.

InventorsAndrey Laremenko, Eyal Moshe

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Abstract

A mobile wallet for storing a digital asset, the mobile wallet may include a communication unit; a programmable logic device (PLD), a main controller, a secure element, and an anti-tamper unit that comprises one or more anti-tamper sensors. The secure element may be configured to store the digital asset. The communication unit may be configured to receive ingress traffic from outside the mobile wallet and to output egress traffic not blocked by the PLD. The PLD may be configured to monitor ingress traffic and egress traffic, and to determine whether to pass or block ingress messages of the ingress traffic and egress messages of the egress traffic. At least one of the main controller and the anti-tamper unit may be configured to detect a tamper attempt based on outputs of the one or more anti-tamper sensors. The main controller may be configured to assist in responding to a detected tamper attempt.

Claims19

Dependent claims

A mobile wallet for storing a digital asset, the mobile wallet comprises:

a communication unit;
a programmable logic device (PLD);
a main controller;
a secure element;
and
an anti-tamper unit that comprises one or more anti-tamper sensors;
wherein the secure element is configured to store the digital asset;
wherein the communication unit is configured to receive ingress traffic from outside the mobile wallet and to output egress traffic not blocked by the PLD;
wherein the PLD is configured to monitor ingress traffic and egress traffic, and to determine whether to pass or block ingress messages of the ingress traffic and egress messages of the egress traffic;
wherein at least one of the main controller and the anti-tamper unit is configured to detect a tamper attempt based on outputs of the one or more anti-tamper sensors;
wherein the main controller is configured to assist in responding to a detected tamper attempt;
wherein the PLD comprises a PLD machine learning module and a PLD firewall;
wherein the PLD machine learning module is configured to detect an anomaly in at least one out of the ingress traffic and the egress traffic, and to send an anomaly indication to at least one out of the PLD firewall and the main controller;
wherein the PLD firewall is configured to apply firewall rules on the ingress traffic and on the egress traffic;
wherein one or more entity of the main controller and the PLD firewall is configured to assist in performing an anomaly alert responsive action in response to the anomaly indication;
and
wherein the PLD machine learning module comprises an ingress buffer and an egress buffer that store segments of traffic that are of a size that is less than one percent from a size of segments of traffic stored by an ingress buffer and an egress buffer of the PLD firewall.

14 more elements

Dependencies are inferred from the claim text.

Facts

Application: 15/881,874Filed 29 Jan 2018
Published: US 2019/0238337 A11 Aug 2019
Granted: 16 Mar 2021
Term ends: Not estimatedThe source records don’t support an estimate.

Classification11 codes

G09C 1/00
Apparatus or methods whereby a given sequence of signs
H04L 9/3234
Including means for verifying the identity or authority of a user of the system or for message authentication, e.g. authorization, entity…:…
G06Q 20/06
Payment circuits: private payment circuits, e.g. involving electronic currency used among participants of a common payment scheme
G06Q 20/36
Characterised by the use of specific devices or networks: using electronic wallets or electronic money safes