FIGHTING AUTONOMOUS CORRUPTION USING CUBE’S BLOCKCHAIN

In the world of technology, Autonomous vehicle are becoming the next big thing in the automobile sector. Automobiles have advanced so much that traditional mechanical vehicles are slowly fading from the industry.

Website:http://cubeint.io/

It is well knownthat with the development of technology, there comes a variety of problems along with it. In the automobile industry, there are various issues revolving around security, transparency, protecting the system from malicious attacks and the risks that it brings with it.
Cube is a robust platform that has been built to enhance the security of autonomous vehicles by preventing hacking, more importantly in the mobile networks. They have also implemented uses AI and machine learning to tackle malicious attacks. And lastly, CUBE uses quantum hashing cryptography technology to improve its security features.
Cube is a highly transparent platform which has established policies for transparent operations like publishing monthly operational reports and receiving fair audits from reputable accounting firm. In terms of transparency to contributors CUBE will be sending monthly updates as well as share important occasions to the contributors via email.

THE TECHNOLOGY USED
As already mentioned, CUBE uses AI and Machine Learning to ensure a strong security network. CUBE uses deep learning network security instead of the regular passive approach to addressmalicious attackers in the present and during the future.

CUBE also has its own self-taught learning system which uses data from past invasions and attacks to trains in AI to foretell possible future attacks which could be in hundreds of millions thereby creating an effective defence system.
CUBE also uses Google’s open source library called TensorFlow, which we use for performing multiple machine learning models and system-level optimization. The process was started with creating placeholder node to pass the feed data. When this is performed in a reiteration, it produces output data which indicates if a malicious attack has occurred.
There are also problems such as neural networks producing poor networks . These issues could revolve around underfitting, low speed, and overfitting. Underfitting occurs when learning is not effective. Low speed problems occur when training data hits the mark therby making the network to exceptionally slow down. The third issue, overfitting refers to the inflexibility of neutral networks . CUBE’s system resolves this by using sequential data to discriminate malicious attacks.

CUBE TOKENS
CUBE has a strongLock-Up system which operates in a manner where executive managers are not eligible for token sale for one year. This is done to ensure that they are rewarded post the company’s growth. Also, the budgets are controlled to improve the value of the CUBE token. 2/3 of the starting budget must be kept on hold towards the value of the token.
We also have a contribution system which accepts contributions from participants for the development of CUBE. By performing this, the cost of CUBE goes at the rate of 1,000 CUBE per ETH. The contribution period begins on November 27th, 2017 and ends on January 18, 2018.

CONCLUSION
CUBE is in the final stages of constructing Quantum Security Cryptography. They are associated with various developers from BMW to complete the development phase. The company’s ICO Is also underway.

For More Details Visit:
Website:http://cubeint.io/
Whitepaper:https://cubeint.io/#papers
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Written by: Pooja Jur
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