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Power consumption compensation anti-attack circuit and control method based on neural network power consumption prediction

A neural network and compensation circuit technology, applied in the field of information security, to achieve high flexibility, good power consumption constant performance, and high resistance to power consumption attack protection

Inactive Publication Date: 2016-03-30
SOUTHEAST UNIV
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  • Summary
  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

But no one has used it in the anti-attack enhancement scheme of the cryptographic circuit

Method used

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  • Power consumption compensation anti-attack circuit and control method based on neural network power consumption prediction
  • Power consumption compensation anti-attack circuit and control method based on neural network power consumption prediction
  • Power consumption compensation anti-attack circuit and control method based on neural network power consumption prediction

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Embodiment Construction

[0030] The present invention will be further described below in conjunction with the drawings.

[0031] Such as figure 1 Shown is a structural diagram of an anti-power attack method based on neural network power consumption prediction and a configurable power consumption compensation circuit, which includes an encryption and decryption module 1, a power consumption compensation circuit 2, and a neural network power consumption prediction module 3. The encryption and decryption module 1 is the main part of the security chip, which realizes the required encryption and decryption functions; the function of the power consumption compensation circuit 2 is to generate power consumption complementary to the encryption and decryption module, and its basic unit is a series of reconfigurable processing units ( PE), they are some small units with the same functions; the configuration of the power consumption compensation circuit is actually to configure whether these processing units work or...

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Abstract

The invention discloses a power consumption compensation and attack resisting circuit based on neural network power consumption predication and a control method. The circuit is composed of an encryption and decryption module achieving an encryption and decryption algorithm function, a power consumption compensation circuit and a neural network prediction module, a neural network algorithm with adaptive learning capacity is adopted in the method to build a power consumption predication model, power consumption predication is carried out when a code circuit works, a configurable power consumption compensation circuit is built, the compensation circuit is controlled to carry out corresponding function configuration according to a power consumption predication result, the power consumption of the overall circuit tends to be a steady state value, the value is not changed along with the change of a secrete key and processed data, an intruder cannot acquire the dependency of the value and secrete key information, and therefore power consumption attack can be effectively resisted.

Description

Technical field [0001] The invention belongs to the field of information security, especially in the aspect of anti-power consumption attacks of cryptographic circuits. It is used to protect cryptographic circuits so that they can resist power analysis attacks with higher flexibility without reducing the processing speed of cryptographic circuits, and enhance The security of cryptographic circuits. Background technique [0002] With the increasing informatization, digitization and networking of modern society, people's demand for information security technology has become more extensive and in-depth, and information security products have become an important guarantee for the healthy operation of the entire society. Among them, high-performance and high-security cryptographic processors are essential basic hardware. Various cryptographic coprocessor chips based on algorithms such as DES, AES, RSA, ECC, and HASH have been extensively researched and developed. [0003] Thanks to the...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F21/72G06N3/02
CPCG06F21/755G06N3/088
Inventor 单伟伟王学香孙华芳徐志鹏田朝轩
Owner SOUTHEAST UNIV
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