WiMi Hologram Cloud Inc (WIMI)

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WIMI Hologram Cloud Improves CPS Security With AI Technology & Deep-Learning Function.

Source
https://www.newstrail.com/wimi-hologram-cloud-improves-cps-security-with-ai-technology-deep-learning-function/

February 14, 2023

Cyber-Physical Systems, CPS, is a network of information and physical elements that interact in the form of feedback. The early Cyber-Physical Systems were the computer network transformation of the original industrial control system or other embedded systems, which was realized through Internet access. With the continuous development of Internet technology and industrial informatization, CPS improving system ease of use and work efficiency, application scale, ensure the security of CPS controllable is an important technical link of a new round of industrial revolution, with the development of the digital industrial system, for CPS network attacks are increasingly diverse and frequent, but production safety is the top priority, to ensure the security of Cyber-Physical Systems (CPS) controllable has become an important technical foundation of industrialization. Based on this, WIMI Hologram Cloud (NASDAQ: WIMI) enables blockchain intrusion detection technology in CPS based on artificial intelligence (AI) and deep learning (DL) to effectively enhance CPS security.

CPS has an integrated and integrated relationship with the Internet of Things, industrial control system, industrial Internet, etc. It is the unity of the computing process and physical process, and it is an intelligent system that integrates computing, communication, and control. At present, there are a large number of node equipment in the intelligent manufacturing CPS system, which need to communicate with each other to complete the allocation of resources and achieve the improvement of production collaboration efficiency. CPS is also constantly upgraded and expanded in the development process of industrial informatization.

Dr. Gao from the research and development center of WIMI Hologram Cloud(NASDAQ: WIMI) proposed that, with the high industrial informatization brought by Cyber-Physical Systems (CPS), its security has become a key technology that cannot be ignored. For this reason, WIMI Hologram Cloud has developed intrusion detection technology using blockchain in the CPS environment:
WIMI-ProBIDCPS technology. This technology uses artificial intelligence (AI) and deep learning (DL) to design an effective intrusion detection system (IDS) model for the CPS environment, combined with blockchain technology for intrusion detection can effectively improve CPS security.

WIMI-ProBIDCPS technology uses a feature selection technique based on the adaptive coordinated search algorithm (AHSA, Adaptive Harmony Search Algorithm) for the correct selection of the feature subset. For intrusion detection and classification, a neural network-based (GRN N) model is applied. Moreover, the detection efficiency of the GRNN technology has been enhanced by using the hyperparameter optimizer-based algorithm, thus enhancing the intrusion detection results. In addition, blockchain technology is applied to enhance security in CPS environments.

Traditional machine learning (ML) technologies can already effectively identify data patterns and detect network attacks in IDS. However, once the distribution of network nodes is quite large, it cannot effectively cover the huge data set, and the performance of detecting network attacks will also be reduced. Advances in combining deep learning (DL) have inspired the IDS mechanism to handle cyber attacks on large data sets of current high complexity. WIMI-ProBIDCPS designed a behavioral analysis based on trust-related IDS. Node credibility is considered by identifying the variance between the two behavioral profiles. Each trust assessment data provided is used to calculate its trust value, and then the incentive model of reinforcement learning.

WIMI-ProBIDCPS designs opportunities for collaboration between edge devices and host devices (IoT devices) to make IDS minimize transmission loss and power consumption. In order to overcome the low classification accuracy and long training time of the current deep neural network (DNN) system, and realize the appropriate response to the intrusion behavior. For the host IDS, a combined deep IDS-based deep belief network (DBN) was created. Meanwhile, the network was optimized and trained using a small-batch gradient descent method.

Blockchain can protect the integrity of data storage and ensure process transparency, and thus has the potential to be used in the field of intrusion detection. WIMI-ProBIDCPS uses blockchain technology to improve security in CPS environments. Blockchain is an immutable distributed dataset, in which new time-stamped transactions are grouped and attached to the block-wise hash chain. The basic blockchain protocol defines how many blocks of copies can be maintained and built in a distributed manner. The primary goal of this block is to save a list of confirmed transactions using encrypted hash functions. The hash function is valid due to subsequent properties.

Blocks in the blockchain are connected to the initial gene blocks and confirmed by hashing. Each block is linked by the relation of each hash, which means that all blocks have a prior hash and are further hashed in the next block. Any such modification to the hash causes the chain to be broken because the original hash attaches to the next block in the chain. Recalculate the original hash to restore the power of the chain. The lack of universal trust means that distributed consensus mechanisms are needed for block validation in blockchain networks, and blockchain-based detection methods enhance security.

WIMI-ProBIDCPS has developed a new way to optimize, using deep learning models to enable blockchain intrusion detection technology in a CPS environment. WIMI-ProBIDCPS technology contains different processes, namely preprocessing, for feature selection, designed based on an adaptive coordinated search algorithm (AHSA) technology. In addition, the optimization algorithm based on the neural network (GRN N) model is used to detect and classify intrusion. In addition, blockchain technology is being applied to enhance security in CPS environments. WIMI Hologram Cloud Extensive simulation analysis was performed to ensure the enhanced performance of the WIMI-ProBIDCPS technology in terms of multiple measures, thereby enhancing the intrusion detection results.

The application of WIMI-ProBIDCPS has a wide range of industrial markets and application scenarios. Cyber-Physical Systems (CPS) is a multi-dimensional and complex solution, which combines the Internet of Things (IoT) with industrial components to build an effective CPS production environment. In addition, CPS can also be used in various applications, such as healthcare, smart transportation, and smart home. The CPS includes the integration of physical and logical systems for the transfer of information between human, analog, and digital components. CPS network contains network modules, sensors, and actuators, suitable for automation, power, civil structure, medical and development fields, CPS is a complex solution and is an important technical link of a new round of industrial revolution, which integrated support network applications and external operations, network security is regarded as the primary technical problem of CPS, the most complex problem in CPS is intrusion harm vulnerability. WIMI-ProBIDCPS will greatly improve the security and reliability of CPS, and will also provide basic technical support for the future intelligent era of the Internet of everything, to ensure the security of massive terminal devices linked to the network.