Synthesis
CUBE is the platform for the safe protection of vehicle safety nets and vehicles with Blockchain technology.
Vehicles are currently evolving rapidly as connected vehicles and not as conventional mechanical components. As navigation routing, traffic information, etc. are becoming essential vehicle characteristics, interconnected units within vehicles such as the ECU, the Brake Control Unit (BCU), the Wheel Control Unit (WCU) and so on have also become basic characteristics of vehicles vulnerable to malicious attacks.
More than 30% of the activities of autonomous vehicles depend on communication. The traffic control center monitors whether the wheel and brake control units are operating without failure. The navigation required for the vehicle's work also depends on communication.
In this regard, one of the most important issues for stand-alone vehicles is protection against malicious network attacks. To date, no defense mechanism against malicious attacks on networks has been developed. This is the biggest problem for autonomous vehicles.
CUBE solves vehicle safety problems autonomously with BLOCKCHAIN technology.
Blockchain's importance is due to the fact that technology guarantees confidentiality. CUBE uses blockchain technology to secure independent mobile networks.
In the driving of self-employed vehicles, many IOTs provide information to self-employed vehicles. The attacker intends to gain access to the network between an autonomous car and IOT or traffic center. In such cases, the hash of the
Binary infected binary differs from the hash included in the multisig transaction that is signed by the SW provider and the OEM.
Therefore, vehicles are able to easily detect such an attack before installing the infected software. The distribution of a false update claiming to be the OEM or SW upgrade provider can be interrupted as the overlay nodes are aware of the public key of the OEM and SW upgrade provider. Therefore. the attacker cannot claim to be any of these entities, as he needs the private key associated with the public key of the relevant entities.
CUBE also employs AI and machine learning to create a defense against potential malicious attacks in the future. In the end, malignant attacks are a typical combination of attacks that have already been introduced, so CUBE provides its services in the following ways
defense against malicious attack algorithms by using tens of millions of millions of combinations of possible attack scenarios, which generates deep learning.
Finally, CUBE leverages quantum hashing cryptography technology for enhanced security.
What is CUBE?
CUBE is a British company that manufactures a Safety Platform for autonomous vehicles with blockchain technology. Autonomous vehicles will communicate continuously with several centres to remotely control their internal and external states. These network accesses increase the risk of malicious attacks on autonomous vehicles. Cube solves the safety drawback of these autonomous cars with blockchain technologies, IA-based in-depth learning and quantum hash cryptography.
VISION
Connected cars and self-contained cars are not only controlled by camera recognition, Ladar, but also the network. A self-employed car must always be connected to a network for the precise reception of location data, a vehicle to a vehicle information (V2V), traffic data, IOT assistance data, etc.. If a self-employed car is connected to LAN, it could be easier to detect the danger of hacking. But many network connections to wireless networks dramatically increase the danger of hacking. This high degree of connectivity makes smart vehicle safety particularly difficult. Malicious entities can endanger a vehicle that jeopardises not only the safety of the vehicle, but also that of passengers.
CUBE is the Security platform for preventing the risk of hacking based on blockchain.
We remember the terrible WannaCry ransomware attack that rocked organizations around the world in May 2017. The assault spread at a rate of almost 3,600 computers per hour or about one per second. When all was said and ransomware has infected more than 300,000 devices. Although an infected server and a PC have suffered a lot of pain, an autonomous car can be much more dangerous. A hacked self-employed car can threaten human life. The CUBE platform decentralizes the IOT Control Server, filtering information from the hacked network by chain private key identification.
Potential hazards
Autonomous cars are discovered to potential malicious attackers in various channels. There are two kinds of weak channels that must be attacked, the intercom channel and the intra-communication channel.
The intercommunication channel covers communication between external information delivery sites and the autonomous car platform. This includes traffic information, navigation information, and remote firmware update through manufacturing.
The CUBE security platform
CUBE consists of three layers. The first is the BC Layer, the second is the AI Layer, and the third is the Quantum Layer. The first layer, Blockchain Layer, is a layer that is made using the Blockchain technique, and the AI layer is a layer that uses artificial intelligence. The third quantum layer is a layer using Quantum Critography. The blockchain layer will be marketed in 2018. AI Deep Learning Layer will be commercialized in 2020, and Quantum Hash Cryptography will be commercialized in 2022.
How CUBE Blockchain Security Works
CUBE solves these difficulties of BC technology with two concepts of segmentation and permission. In the driving of self-employed vehicles, many IOTs provide information to self-employed vehicles. The information may be transmitted directly between the IOT and the vehicle or through a control centre that controls the IOT.
The thief can search for network access between a stand-alone car and IOT or a traffic center, and can manipulate binary software to inject malware into a large number of vehicles. In these cases, the hash of the infected binary is different from the hash included in the multisig transaction that is signed by the SW provider and the OEM. This way, vehicles can quickly detect such an attack before the infected SW update is installed. Distribution of a fake when claiming to be the OEM or SW upgrade provider may cease as the overlay nodes are aware of the OEM PK and the SW upgrade provider.
Data sent from the IOT to the vehicle contains information about the position and condition of the road. On the other hand. information sent from the car to the IOT also includes information on the speed and condition of the vehicle.
For the protection of autonomous vehicles, CUBE uses Blockchain to manage communication between these vehicles and the IOT. All IOTs will become a node, and the standalone vehicle will become a node. Communication of data between these cars and the IOT is considered a transaction.
The essential information that is used in another vehicle is the auto-driving information provided by the driver, traffic control center, and so on. The vehicle manufacturer must remotely monitor the vehicle's progress from independent vehicles and remotely update the firmware.
Level of in-depth learning AI (artificial intelligence)
To increase the security status, AI (artificial intelligence) will be applied at this stage. Lately, attacks on malicious hacker networks are evolving rapidly. So far. However, cybersecurity technology has been a passive method of collecting immunizations to defend against attacks that have been occurring so far. Cube has established powerful network security instead of this passive approach to choose a method based on malicious attack predictions rather than defensive methods so far. So far, CUBE has continued to learn how malicious attackers have attacked the network and to prevent future attacks.
Quantum Hashing Cryptography
Blockchain has reinforced the guarantee of safety through the proper use of hashes. However, there is growing concern that as computer performance grows rapidly, hash cryptography can be a constraint. CUBE has developed quantum cryptography for the prevention of malicious attacks against autonomous vehicles. This quantum cryptography will help not only the autonomous operation of the unit, but also the general modernization of all Blockchain technology.
CUBE increases the Security level using Quantum features.
Security is determined by the constantly changing characteristics of quantum, the particularity that the data received depends on the point of polarization and the conditions of the data being destroyed at the time of the malicious attack.
OTA technology is software that can automatically and remotely update existing automotive ancillary software. Automotive software can improve accuracy and patch problems through updates. CUBE will provide you with diagnostic and installation software and remote automotive software patches with blockchain-based OTA technology.
CUBE is designing on-board diagnostic (OBD) equipment for existing connected vehicles. Each car has a part to insert an OBD device. When the vehicle is connected to an OBD device, you can track the vehicle's status from firmware version data for detection of vehicle part malfunction. This means vehicles with OBD devices will benefit from time and cost savings.
The Team
Employees can be classified into three categories. The first is the equipment for autonomous communication of the vehicle. All over the world, self-contained vehicles were first conceived in 1995 by the Carnegie Mellon University's engineering computer. Three of that department's members and one MIT student of artificial intelligence are key Cube members.
The second category is the development department of the block chain. Two key developers are from Samsung Electronics. Choi was the project manager of Samsung Electronics' cloud development team, and Kun Lee was the head of Samsung's artificial intelligence development team.
The third category is the automotive group. Thomas Hofmann and Siegfried Ottmayer, and Jan-Phillip Jost had worked at Daimler, and Porsche as developers
Team.
Bong H. Lee, Ph.D.
Dr. Jae Sung Lee
Geon H. Lee, Ph.D.
Ryan Park
Sung Min Park
Dr.-Ing. Thomas Hofmann.
Dr. Andreas Roggon
Jan-Philipp Jost.
Siegfried Ottmayer
Balakrishnan
Ryu Hae Yeon,Ph.D
Hyesun Lee
Yoon Jae Song
Hae Won Kwon
Il Man Kong
Gi-Yeon Hwang, Ph.D.
Ian Scarffe
Dr. Byiung Kun Park
Jae Kim
Jay Kim
Shin Sop Kim
Richard Biggs
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by Jpirulo