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CUBE (CUBE) ICO Review – ICO Token News

Cube ICO Token: Invest in the security of driverless cars and invest in a safer future

The future where highways will be dotted with self-driving cars is not too far away. However, with driverless cars comes the risk of faceless, malicious attacks. In the same future, several blockchain-based applications will dominate the world making autonomous cars secure. Cube will be the pioneer, leveraging the powerful blockchain technology to make driverless cars safe and free from threats.

Cube will use blockchain technology with quantum hash cryptography and AI–enabled deep learning to solve these potential attacks and threats. Put simply, Cube will be a full-fledged platform that will protect the network security of autonomous vehicles and other existing mobiles using the blockchain technology. Let us, now, explore how Cube will reimagine the security landscape for tens of thousands of the self-driving cars of tomorrow. 

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Cube: securing the future of self-driving vehicles’ safety

Today, vehicles rely on tools such as traffic information and navigational routing, to improve the passenger experience. With autonomous vehicles, however, the focus will be on more sophisticated technologies such as engine control units, wheel control units, brake control units, and many more.

A third of the functions of an autonomous vehicle are driven by communication. For example, the traffic control centers observe whether the brake units and the wheel units are working correctly. Likewise, different navigational centers will connect with an autonomous vehicle to make it reach its destination safely and quickly. As they are in constant communication with different centers and IoTs, these technologies will be more vulnerable to a variety of malicious attacks.

As a result, the most prominent concern is to secure these self-driving vehicles against different malicious network-based attacks. So far, no revolutionary defense mechanism has been developed to protect these autonomous vehicles against different network-based attacks carried out by hackers.

The autonomous vehicles are highly susceptible to malicious hacks carried out through multiple channels. Presently, there are two weak channels that can be easily attacked inside a vehicle—these two include an intra-communication channel and an inter-communication one. The inter-communication channel will comprise any communication happening between the autonomous car gateway and exterior information delivery sites. This channel is responsible for managing navigation routing information, traffic information, and other remote firmware upgrades done by automakers. The other channel is the intra-communication one; in an autonomous car, the intra-network generally consists of BCU, ECU, WCU, and the like.

Cube has found the solution. Cube tweaks and reengineers the blockchain technology in order to resolve the security issues that autonomous vehicles are likely to face. Like every other true ICO token—such as Celsius, BunnyToken, Altair, Lendo, ABYSS, EQUI, Fiancia—Cube, too, brings something innovative to the table.

This is achieved by successfully use the blockchain private key identification for filtering the hacked network datasets and decentralizing the IoT control server. Now, let us review different technologies that Cube will use for protecting several driverless vehicles. 

The technologies that take Cube’s security endeavors to the next level

Cube’s sophisticated security layer includes three specific parts :

  • The first layer is the blockchain layer,
  • The second one is called the AI layer,
  • The third, or the last, quantum layer includes Quantum Chritography.

The team behind Cube plans to commercialize its blockchain layer in 2018. The second layer, AI deep learning, will be rolled out in 2020. And by 2022, Quantum Hash Cryptography is planned to be commercialized. Now, here is the analysis of each of these security layers individually. 

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Layer 1: The blockchain layer 

The best part with a blockchain is that this is the technology that delivers trust. This technology ensures that the autonomous mobile network’s security is never compromised. However, there are a different set of challenges arising when it comes to applying a traditional blockchain to deliver self-drive vehicle safety. 

The limitations of conventional automotive security and how blockchain solves them 

Traditional automotive technology has its own limitations. To begin with, the bulk of data that a smart car has to process is nearly ten times higher than the amount that virtual currencies have to execute. So it is obvious that the legacy processes adopted by automotive technology will not work in the coming time. Now, here are some other limitations that automotive tech currently faces.

Centralization issue 

While driving, the total amount of data received from the outside is approximately four terabyte every day. Processing such a mammoth amount of data can cause some serious issues. In simple words, centralization can easily bring down the CPU’s speed. Plus, the entire system can eventually crash should the number or cars rises.

Privacy issue

Since today’s automotive technology is centralized, the privacy of the drivers is also at stake. If someone manages to break into the centralized server, every piece of critical information will slip away from the ecosystem. This development will cause the loss of data and money, for sure.

Safety issues 

A highly malicious attack launched on the car’s network cannot be completely blocked by existing security protocols and antiviruses. That is exactly why some robust alternatives need to be created for improving an automotive network’s security and safety. 

By analyzing all the weaknesses of an existing automotive network, CUBE adopted blockchain technology. The team behind Cube believes that a blockchain is the key to building a sturdy security platform that can streamline and accelerate every autonomous vehicle running on the road. However, deploying a traditional blockchain has its own challenges—let us overview these challenges, now. 

The challenges faced by a blockchain solution 

With a blockchain, the primary challenge is that its instantiations suffer from low scalability and high overheads. The consensus algorithm, which the blockchain employs, involves solving very difficult cryptographic puzzles that consume a lot of computational resources. Every transaction and each block are broadcasted to the whole network resulting in a significant increase in overheads. In addition, this move raises the scalability issue just because the total broadcast packets rise quadratically along with the participating nodes. 

How does Cube solve these challenges?

Cube solves each of the limitations found in the conventional blockchain technology by building a hybrid blockchain tech. In a hybrid blockchain, Cube uses both private and public blockchains without any hassles. If the project needs a high level of security, then a public blockchain will help. However, this format of blockchain is very slow. Likewise, if a basic level of security is needed at a fast pace, then a private blockchain is the way to go.

While an autonomous vehicle is in operation, many IoTs offer relevant information so that the journey is smooth. Now, what the hackers do is they try to access the network that is present between a traffic center or an IoT and a self-driving vehicle. After accessing the network, they try to manipulate the existing software binary with the goal of infusing malware inside a large number of vehicles that use the same network. In such cases, the infected binary’s hash completely differs from the hash that is included within the multisig transaction which is later signed by the OEM or the SW provider. 

Because of this, the vehicles can seamlessly detect such an attack just before installing the SW update that is infected. Furthermore, the distribution of false updates by hackers who claim to be SW providers or OEMs is completely impossible because the overlay nodes are aware of the real PK, the SW providers or the OEMs. 

Also, when it comes to securing this blockchain’s data, Cube uses the single-signature and multi-signature methodologies—they are really tried-and-tested methods of securing data. The way the information flows to a vehicle depends on the criticality of the information. For example, if the information is related to entertainment, then it may be accepted without any prior confirmation. Nevertheless, if the information is about the level of traffic, then it may need a single-level authentication.

Likewise, if the information is about updating a smart vehicle’s firmware, then it will need a multi-signature method—such a methodology is absolutely a must-have when data security is kept on the front burner. For making sure that the ecosystem is completely secure and the vehicle’s data is not compromised, such authentication levels must be implemented. And that is precisely what the team working on Cube is doing. 

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Layer 2: AI deep learning layer 

In order to enhance the existing levels of security, AI will be applied at this very stage. The attacks on communication networks by hackers with a malicious intent are evolving at a rapid pace. Until recently, cyber-security tech was a passive method of gathering different vaccines to defend against various attacks.

Cube has already developed full-fledged, deep learning network security that is much better than any traditional passive approach. In this unconventional deep-learning approach, the method is completely based on the predictions of different malicious attacks rather than any defensive methods. Cube has invested its resources in understanding how hackers have already harmed the existing network and how different networks prevented these attacks.

This ecosystem has invested in an end-to-end invasion detection system. In case there is an attach situation, the affected data packets will be inserted right inside in the Controller Area Network (CAN) vehicle. It is a type of self-taught learning mechanism that this network is building from scratch. Plus, the team that is building this self-taught learning system believes in the power of an artificial neural network. 

To improve the ability of this self-taught learning network, Cube even employs TensorFlow—Google’s very own open-source library. There are other ways of accurately and efficiently implementing deep running; however, at present, TensorFlow has the best position present in the market. Additionally, there are many data sets watching the source code, so TensorFlow is definitely a very advantageous library since it uses numerical computation by employing cutting-edge dataflow graphs.

The intrusion detection system factors in a generic attack scenario where many malicious data packets are insidiously injected inside a powerful in-vehicle CAN bus. All the in-vehicular networks are simply accessed from a variety of mobile communication links such as an IoT network, a Wi-Fi, a 4G portal, or any self-diagnostic tool such as an OBD that is paired with the driver’s mobile phone. 

Layer 3: Quantum Hashing Cryptography 

The blockchain technology has taken the security of autonomous vehicles to the next level by appropriately using hashes. Nevertheless, if there is an evolving concern about the growth of a computer’s performance, hash cryptography will begin manifesting its own limitations.

That is exactly where Cube comes into play. This platform develops quantum cryptography for avoiding malicious attacks against a number of self-driven vehicles. This form of cryptography contributes not only to the development of the complete blockchain technology but also to making autonomous drive safe.

Whenever an infected file enters inside Cube’s blockchain, the ecosystem can verify the infection. It does so by matching the incoming infected file’s hash with the hash of the car’s firmware. Now, if the ecosystem gets the information about the incoming file’s untrustworthiness, then the blockchain will simply prevent any form of malicious attack then and there.

Cube improves the current security level of autonomous vehicles by effectively leveraging the features of quantum. The security is absolutely guaranteed by quantum’s continually changing characteristics which are received from the data depending on the polarization’s angles. In addition, these characteristics are formed by the features of datasets that will be destroyed at the very moment of such malicious attacks.

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The impacts of a three-layer security blanket covering autonomous vehicles 

In short, Cube combines blockchain-based security, quantum hash cryptography, and AI deep learning processes to protect self-driving vehicles. In a way, through this blend, this platform brings the best of each technology in order to make driverless vehicles safe and secure in every possible way.

The first technology layer will handle the communication happening between an IoT network and each vehicle. As every IoT device and vehicle become a specific node, they are likely to work together without any hassles. Apart from using the blockchain technology, Cube is also experimenting with cryptography and AI deep learning to grapple with the always-evolving tech threats. And even when the computer power evolves and reaches a specific quantum hashing level, Cube will aim to develop quantum hashing proof to maintain the network security.

Embracing a crystal-clear transparency policy

This platform never deprioritizes transparency at any cost. The platform’s team has successfully set up a policy that will make sure that all the operations are executed properly. Here are some highlights of that privacy policy. 

  1. The company that is backing the ecosystem will regularly receive third-party audits; the accounting firms carrying out the audits will be reputable and well-known. All in all, the holding company will be audited by top five accounting firms that are not only credible but also globally recognized.
  2. This platform will even publish its operational reports every month; also, the contributors are given financial reports so that they can get insights into the company’s fiscal health. 
  3. While hiring fresh staff members—including developers—the platform’s holding company will create a complete validation process; additionally, the company will thoroughly examine the portfolios from the past and establish different clearly defined reward policies. 
  4. The company’s budget will be properly managed; the management will make sure that it will be possible to streamline and operate the business’s budget without needing any sort of additional funding for a period that exceeds three years. 

Cube’s Bigdata—plans to make it big 

Cube will offer blockchain-based security services and will even build an end-to-end ecosystem for all self-driving car owners. Through this ecosystem, the owners will sell every element of their operating records in the form of big data. The operational records of nearly every autonomously driven car are particularly valuable for the development of, not only these self-driven vehicles, but also their security.

Now, in terms of protecting the big data, Cube makes it a point to store every single piece of information over decentralized blockchains. This storage brings down the high cost of procuring and managing a server. Cube will even use deep learning systems for upgrading the mode through which autonomous vehicles will operate. An added benefit of this storage will be that the big data coming from every single autonomous vehicle can even be used for delivering a personalized premium service to car owners. 

Getting the right information on Cube ICO tokens 

The platform’s token has two distinct areas of consumption and production. In this section, we will list these two uses of ICO tokens.

The use of tokens from the production’s perspective 

A large part of the production of these tokens is delivered to all the information producers. These producers provide different fragments of operating info to Cube. All the information providers who have already installed a Cube slot at an obd2 terminal will be able to give different sets of operating information. These pieces of info include driving habit, location, speed, and route. In exchange for delivering this information, the driver will receive some CUBE tokens. 

From where can investors buy Cube tokens? 

Investing in these ICO tokens is straightforward and easy—just like the way it has been for ODEM, Requitix, Shping, TV-TWO, Signals, Gamblica, LocalCoinSwap for that matter. You just need to press the “Contribute” button that is present on the website’s header. It is also advisable to follow the different steps available in Cube’s comprehensive investment guide. 

Where and how should the Cube token be used? 

The Cube tokens can be used for paying the bills at gas stations and for buying a used car or a new one. Also, these tokens can be used for paying the repair bills or for making car-sharing payments. Furthermore, these tokens can even be cashed in a token exchange market. 

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Other Cube ICO details 

All the unallocated or unsold tokens will be burnt and any additional release will not be possible.

Exchanging any other currency will be available after a single week when the token sale has been closed. 

Token distribution:

  • 60 % of the cube tokens are allocated for sale
  • 3 % of the tokens are earmarked for the in-house team
  • 7 % of the cube tokens are set aside for the company’s work 

Fund allocation: 

  • 60 % of the raised funds will be given for core development.
  • 10 % of these funds will be meant for marketing.
  • 10 % of the derived funds will be consumed for sales purposes.
  • Operations will consume 10 % of the obtained funds.
  • The security and audit and the legal sections will individually consume 5 % of the raised funds.

Self-driving cars will sure make our lives easier and will set the future in motion. And with Cube’s ICO, it is our opportunity to secure every aspect of these driverless cars. Join the token sale today!

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