Les véhicules autonomes utilisent énormément de moyens techniques sans fil pour assurer la communication entre un véhicule et un autre, pour transmettre des informations relatives à la circulation routière ou encore pour mettre à jour leur GPS. Les constructeurs automobiles se doivent, quant à eux, de communiquer avec leurs véhicules autonomes afin de sassurer de leur bon fonctionnement. Ces différents réseaux de communication sont plus que jamais des cibles aux attaques malicieuses sur les véhicules autonomes.
Cube répond à cette menace en proposant des technologies Blockchain : Blockchain, Al Based Deep Learnin Layer et Quantum Hash Cryptoraphy Layer. Dans le futur marché du véhicule autonome qui ne dénombrera pas moins de 770 milliards de dollars , Cube, premier groupe utilisant la technologie Blockchain, offrira une plate-forme sécurisée aux entreprises automobiles.
La clé de Blockchain est que sa technologie garantit sa fiabilité. Cube utilise une technologie block-chain qui assure la sécurité du réseau des véhicules autonomes.
Au sein du processus opératoire des véhicules autonomes, beaucoup dIOTs interviennent afin dalimenter les véhicules autonomes en informations. Lagresseur cherche à gagner accès au réseau se trouvant entre le véhicule et lIOT ou le centre de circulation. Dans tel cas de figure, le hach du binôme affecté diffère de celui inclus dans la transaction multisig signée par le fournisseur SW et lOEM.
De cette manière, le véhicule est prêt à détecter ce type dattaque, avant dinstaller des mises à jour SW affectées. La distribution de fausses mises à jour, se réclamant être des mises à jour qui proviennent du fournisseur OEM ou SW, peut être empêchée par la présence de nuds de réseau de superposition qui ont connaissance de la Clé Publique des fournisseurs de mises à jour OEM et SW. Ainsi, lagresseur ne peut prétendre être lune de ces entités car il aura à fournir la clé privée associée à la clé publique de lentité pertinente.
La deuxième couche est la couche Al Deep Learning. Celle-ci sera mise en application en 2019 et commercialisée en 2022. Jusquà aujourdhui, celle-ci utilise un système passif qui collecte les données relatives aux hackings déjà survenus.
Cube sentrainera alors afin de construire un système de défense adapté au type dattaque rencontrée et susceptible de se représenter des centaines de millions de fois. Le système de détection dintrusion de Cube qui utilise un « Deep Neural Network » pour la sécurité du réseau automobile se présente sous deux types : larchitecture discriminative Deep et larchitecture générative Deep. Lun sera utilisé au profit de lautre selon la manière avec laquelle larchitecture est exploitée.
Après lentraînement initial, un fine-tuning sera mis en place en utilisant la méthode Gradient Descent de lapprentissage supervisé. Là où Blockchain est utilisé comme première et principale méthode de sécurité, le niveau de sécurité du Al Deep Learning garantira un système de défense double.
Blockchain a amélioré la sécurité en utilisant les hashes de manière appropriée. Cependant, une préoccupation grandissante sest manifestée de par le fait que les ordinateurs sont de plus en plus rapides et mettent à jour les limites de la cryptographie hash. Cube développe une cryptographie quantum qui empêche les attaques malicieuses contre les véhicules autonomes. Cette cryptographie Quantum ne contribuera pas seulement à lamélioration de la protection des véhicules autonomes mais également à la protection densemble de la technologie Blockchain. La couche Quantum Hashin Cryptography sera mise en application à partir de 2022.
La technologie Quantum Hash de Cube offrira lopportunité de garantir un niveau de sécurité tout le long de la Blockchain, cela par la simple utilisation de la technologie Hash. Cube augmente le niveau de sécurité en utilisant les caractéristiques de Quantum. La sécurité est assurée par le changement continu qui sopère sur le Quantum. Les caractéristiques reçues par les data dépend de langle de polarisation. Ces caractéristiques seront détruites lors des attaques malicieuses.
OTA technology can remotely upgrade existing automotive software, improve performance and patch bugs as they appear and keeps cars on the road by keeping them updated at all times. CUBE will provide software diagnostics and install bug patches remotely with OTA technology based on the blockchain.Autonomous Vehicle Security Platform (2019)
We have plans to make anonymous autonomous vehicle data available for purchase sometime in 2019. Our two major sales models are: 1. Autonomous car security platform (licensed to car companies) 2. The sale of drivers’ anonymous data
The global automotive market is $1.7 trillion.
Over-the-air market is expected to grow
in the next 5 years.
Autonomous car market is $65 billion for next 10 years.
CUBE aims to target
of this rapidly growing market in the next 10 years.
The CUBE token links driving-related information from the car to data consumers who need this information. Drivers generate this information as they drive and receive CUBE tokens in return. CUBE then links it into a blockchain.Data providers can use this to tap into services such as “Over the Air” (OTA), autonomous car security, and mileage insurance services from data consumers.
Data consumers who need this information will provide their services in exchange of Cube tokens. Automobile generated information, is sent, utilized, and received by all nodes. Data consumers can also provide OTA services and autonomous car driving support information to data providers. This circulation is a key principle of the CUBE token. CUBE’s tech can be applied to different blockchains and improve data security and sharing in various real world situations.
SK Group total Vice Chairman (former)
SK Ltd. CEO (former)
Miso Microcredit Bank Chairman (former)
Korea Fencing Association Chairman
Seoul City Ochastra Chairman
Shin had served as SK's vice chairman for more than 30 years and had significantly contributed to making SK company a global company.
Shin, Hun Cheol is highly respected by many young people in Korea because of his efforts to contribute to society and his personality. He has also been selected at Forbes as one of the 48 best angel donors in Asia. Mr. Shin joined Cube Intelligence as a Standing Advisor through a solid relationship with Dr.Bong H. Lee started from Green Car business.
Dr. Bong Lee graduated from Stanford AMP, SUNY, and worked for 12 years as a professor. Since then, Dr.Lee has been working as an IT professional in the automotive field for 15 years. He established Xroad and generated $300M USD and is listed on KOSDAQ (Korean stock exchange). More recently, Dr.Lee co-founded ‘Green Car’ car sharing and went on to sell it to ‘KT Kumho Rent-a-Car’. Green Car has gone on to add more than 5,000 vehicles to its fleet and a market cap of over 300M USD.
Robert studied Social and Cultural Studies and a Foundation Degree in Anthropology at Goldsmiths University, London. He’s well versed in business development, marketing, start-ups, and consulting for a large Korean corporations. He is now applying these skills with a keen interest focused on the potential of blockchain technology and machine learning, which he believes will revolutionise the way we live and interact with the world.
Jae Sung Lee founded CUBE in 2017 and is currently head Director of the Seoul office. Jae Sung Lee is a medical doctor and has been working closely with the Cube team since the original Green Car project. He came to the Cube after working in the hospital. He majored in mechanical engineering at Hanyang University. After that, he graduated medical school of Kyung Hee University, and went on to to work at the University hospital.
Kim has been deeply engaged in automotive information technology for 15 years, including telematics, black box, and navigation. He has launched numerous successful automotive services and products in the Korean market. He is the general manager of the platform of Lotte Green Car, Korea's first car sharing service, we will successfully lead the business model of Cube based on our abundant experience from initial platform construction to operation.
Lee received a Ph.D. in Physics from Yonsei University. Since then, he has worked as a researcher at the Brain Science Institute at KAIST. Dr. Lee worked as a researcher at ETRI, and for 15 years was part of the ‘next generation technology’ team at Samsung Electronics central research institute. Dr. Lee is currently in charge of CUBE's AI development.
Cho was part of the Samsung SDS Cloud Development Team as a developer. He is known as a big data transaction developer, with a deep expertise in the decentralized technologies. His specialties are performing system infrastructure of blockchain projects(CUBE), and designing blockchain application architectures.
Seong-hun cho has experience in the industry with deep knowledge of Cryptocurrency Mining. He’s deeply fascinated by cryptocurrency mining and new implementation frameworks, favorite research for mining and private consensus algorithm. He’s a great team player and is happy to share his knowledge with his coworkers..
Choi is a Full-Stack Web Developer. He graduated from Ajou University majoring in Digital Media. He was responsible for a lot of public institutions' web development. Rather than take a cushy government job, Choi joined Cube and is now in charge of CUBE’s server development
Jeong JongHyeon is currently working the web, front end, and Android application He is also in charge of improving the responsiveness of the website and other SUBE applications.
Ryan Park graduated from the Department of Computer Engineering at Carnegie Mellon University. Ryan majored in the embedded system of autonomous driving cars, and is an expert in IOT devices based on blockchain technology. Ryan is also responsible for hardware security embedded systems.
Sung Min Park graduated in computer engineering Department at Carnegie Mellon University. He has developed a door lock based on blockchain at ‘Bluetail’ , and is now working on blockchain network security in the CUBE research lab.
Balakrishnan is a technology evangelist with more than 12 years of experience in IT, eCommerce, digital marketing, business development, start-ups, and social marketplaces. Balakrishnan has helped companies to design, develop and implement open source digital marketplaces. He’s a true believer in blockchain-based autonomous vehicle security and is excited to work towards a decentralized economy.
Dr.Ryu holds a doctorate in Finance. She studied at Sloan School and Artificial Intelligence Lab at MIT. She was CFO at Xroad and CFO at EC Miner, which is a big data specialist company. She is currently working as the CFO of CUBE.
Hyesun Lee majored in art at Sookmyung Women's University and graduated with a master's degree in design from UCLA. She is the head designer at CUBE
Yoon Jae Song graduated from Sungkyunkwan University, a major scouting location for Samsung to find management candidates. He’s in charge of the CUBE user experience.
Hae Won Kwon has been part of a variety of corporates projects with major conglomerates likes LG, and Lotte. She has been in charge of UI design of several startups and now an integral part of the UI team at CUBE.
Il Man Kong graduated from Pima CC and worked for Chosun Daily, YBM and Mirae Pharmaceuticals as a sales representative and a HR specialist.
Dr. Yun is currently a professor of Computer Engineering at Hongik University and is a Research Director at NetcoreTech Incorporated. He has extensive experience in Samsung, IBM T.J, Watson Research Center, and Platform Computing and specializes in distributed systems, middleware, cyber security solutions, and artificial intelligence applications.
Dr. Jang received her Ph.D. in Blockchain research and currently serves as a researcher at the Statistical Analysis Center for Mathematical Infrastructure at Seoul National University.
She joined Cube's R & D team as a key researcher in Blockchain security and information technology.
Dr.Hwang is the Korean Autonomous Committee Co-Chair with Vice Minister of Transportation. He has was the Vice President of Hongik University, and Dean of Engineering School of Hongik University, and a Chair of the Korean Transportation Development Research Center. He is also a Chairman of the Korean Car Sharing Committee.
Choong Ke Lee is a company law expert with a background in; trust law, asset management, AI regulation and autonomous vehicles. He is a professor and Former Dean of the College of Law at Hongik University. He is also Vice-President of the Law Professors Association and a Ministry of Law member.
Ian Scarffe is a serial entrepreneur, investor and consultant with business experience from around the world. As a leading entrepreneur, Ian is on a personal mission to develop a culture of entrepreneurship, helping startups achieve their full potential as well as helping to expand existing companies.
A leading expert in Bitcoin, Blockchain and Crypto industries, Ian is at the very heart of revolutionizing the financing industry across the globe and currently consults and advises for a range of companies.
Dr.Park has been a professor at Seoul National University, and KAIST. He also worked as a key engineer of Delphi. Managed the Technical Center of Automotive Product Systems. He developed electronic controlled automotive components such as Smart Airbag, Suspension, Electric Power Steering. ABS, Sensors, EMS-ECU (Engine Management System-Electronic Control Unit), and HVAC System
Jae Kim is Cryptocurrency expert, ICO adviser, and an incubator. He has been an advisor of IndaHash. Jae Kim is also a well known influential Youtuber in Korea, and is known as Coinmong.
Jay Kim graduated from the University of Chicago majoring in Computer Science. Kim worked at Samsung SDS as a software engineering consultant. He also provided technical support to improve team capability. Kim is operating the most comprehensive ICO information community in the Korean market. (ICOSchedule.co.kr & ICO Insight.cokr-in the works)
Studied at Stanford Graduate School of Business and Seoul National University. He has served as a researcher at Daewoo Research Institute, worked as a credit analyst at UBAF Bank, and also as a fund manager at KDIM. He is running a venture capital form, and became a CEO of Adval Capital. He has invested in more than 70 start-up companies and also acts as an advisor to the Innobiz Association.
Richard Biggs graduated from London School of Economics, and worked at Ernst & Young as an analyst for Financial Advisory Group, Due diligence for multinational M&A transactions. He also worked at ABN-Amro as an associate equity researcher.
CUBE, XROAD Chairman Bong Lee, Ph.D.
The CUBE team founded ‘Greencar’, at the time, a 700 fleet strong car sharing platform.
The platform was then sold to Korean-Japanese conglomerate LOTTE. There are now plans for car sharing service to fully adopt CUBE’s security technology to keep its fleet secure sometime in the future.
Greencar owns 5,000 cars in Korea
Over 10M users
CUBE Chairman Bong Lee,
Ph.D. founded Greencar
CUBE is a British corporation that produces security platform for autonomous vehicles based on blockchain technology. 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.
CUBE token owner can use CUBE token for the payment of gas station, purchasing new car or used car, garage payment, tire exchange, or carsharing payment. CUBE token can be cashed in token exchange market also.
Please contact firstname.lastname@example.org for additional information or questions. Then CUBE team will be with you as soon as possible.
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.