(ICO) CUBE - Security System That Protects Autonomous Vehicles From Hacking. Blockchain Technology.
Autonomous cars rely heavily on wireless communication techniques, such as vehicle-to-vehicle, navigation route information, GPS, and other driving data. Autonomous cars continuously communicate with various sites to remotely monitor their internal and outside states. These various network accesses increase the risk of malicious attacks on autonomous vehicles. Cube solves the problem of these autonomous vehicles’ security by using blockchain technologies, AI-based deep learning and quantum hash cryptography.
https://cubeint.io/
In the future, the $770 billion autonomous automotive market will see Cube as the first user of blockchain-based security. We will provide an autonomous vehicle security platform to companies such as automotive manufacturers, and related firms, such as Google and Uber.
FEATURES
Blockchain Layer
The key to Blockchain is that technology ensures trust. CUBE uses block-chain technology to ensure the security of autonomous mobile networks.
In the operation of autonomous vehicles, many IOTs provide information to autonomous vehicles. The attacker seeks to gain access to the network between an autonomous car and IoT or traffic center. In such instances, the hash of the infected binary differs from the hash included in the multisig transaction which is signed by the SW provider and the OEM. Thus, the vehicles can readily detect such an attack before installing the infected SW update. Distribution of a false update by claiming to be the OEM or SW update provider could be ceased since the overlay nodes are aware of the Public Key of the OEM and the SW update provider. Therefore, the attacker cannot claim to be either of these entities as it requires the private key associated with the Public Key of the relevant entities.
####AI Deep - Learning Layer
The second layer is the AI layer. This layer will be applied partly from 2019, and will be commercialized from 2020.At present, network security is a passive system that collects patches to prevent the reuse of methods used in past cases of hacking.
Cube will train, in supervisor mode, using the past as a primary case to construct a defense system against future attacks by creating malicious attack scenarios that are likely to be made hundreds of millions of times. Cube’s intrusion detection system, using deep neural networks for vehicle network security, has two parts, a discriminative deep architecture and a generative deep architecture, depending on how the architectures are exploited.
After the pre-training phase is complete, fine-tuning will be performed using the gradient descent method with supervised learning. While blockchain is used as the first and main security method, AI deep learning-based security will guarantee the double defense system.
Quantum Hashing Cryptography Layer
Blockchain has improved security by using hashes appropriately. However, there is a growing concern that as the performance of computers grows rapidly, hash cryptography can become a limitation. Cube develops quantum cryptography to prevent malicious attacks against autonomous vehicles. This Quantum Cryptography will contribute not only to the autonomous drive, but also to the overall upgrade of the entire Blockchain technology. This Quantum Hashing Cryptography Layer will be applied from 2022.
Cube's quantum hash technology will provide an important opportunity to ensure a high level of security throughout the blockchain field using simple hash technology. Cube increases the level of security by using continuously changing quantum characteristics, The characteristics that the data receive depend on the angle of polarization; further, the characteristics of the data are destroyed at the moment of a malicious attack.
CUBE Technology Market Application Plan
Over The Air Market (From 2018): OTA technology is a technology that can remotely upgrade existing automotive software. Automotive software can improve performance and patch bugs through upgrades. CUBE will provide software diagnostics and installation and bug patches of existing automotive software remotely with OTA technology based on blockchains.
Autonomous Vehicle Security Platform (2019): There are plans to sell the autonomous vehicle security platform technology that is based on blockchain in 2019. The two major sales models will include CUBE's sales of technology licenses and the sales of application technologies.
Road map
Cube Token Sale Summary
Total Token 72,000,000.000
Total File for sale 43,200,000
Reservation Sale 70% 4,320,000 Sell 10% of total tokens 7,344,000
Pre-sale 50% 12,960,000 Sell 30% of total tokens 19,440,000
Public sale 10% 25,920,000 Sale 60% of total tokens 28,512,000
Total CUBE + Bonus 55,296,000
Token sale schedule
Reservation Sale Dec 1 - Jan 15 70% Bonus Sale 10% of the total of chips
Pre Sale Jan 16 - Feb 15 50% Bonus Sale 30% of the total amount of tokens
Public Sale I Feb 16 - Feb 28 Feb 28 28 10% Bonus Sale 60% of the total amount of tokens
Sale Public II March 1 - March 15 0 % Bonus Sale 60% of the total of tokens
Team CUBE
Team members can be divided into three categories. The first is the team for autonomous car communication part. Worldwide, autonomous vehicles were first created in 1995 by the computer engineering department at Carnegie Mellon University. Three members of that department, and one MIT artificial intelligence student are key members of Cube.
The second category is the blockchain development team. Two key developers are from Samsung Electronics. Choi was the project manager of the cloud development team at Samsung Electronics, and Kun Lee was the head of Samsung’s artificial intelligence development team.
Third category is the automotive team. Thomas Hofmann and Siegfried Ottmayer, and Jan-Phillip Jost had been worked at Daimler, and Porsche as developers.
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
Links
Website: https://cubeint.io/
Facebook: https://www.facebook.com/cubeintelligenceltd/
Twitter: https://twitter.com/cubeintel
Instagram: https://www.instagram.com/cubeintelligence/
Telegram: https://t.me/cubeint
ANN: https://bitcointalk.org/index.php?topic=2441477.msg25006237#msg25006237
Whitepaper: https://cubeint.io/Cube-Whitepaper.pdf
By: Andrewsito
Bitcointalk Profile: https://bitcointalk.org/index.php?action=profile;u=1216520
Myetherwallet: 0xB16Ae1Abd9d918e811B9713AE6F276B6F6079C5f
By Bitcointalk user: andrewsito
Well done. I think I like the concept on which this is based.
I like the concept on which this is based. Although, I don't quite understand all of these languages, I think I get the hang of what you're trying to do.
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