Post
Topic
Board Altcoin Discussion
Re: Crypto Scam Defence - STOP DEFI SCAMS
by
RoyalKend
on 23/11/2021, 12:30:28 UTC
Similiar IDEA with other past projects

From my perspective is wasting of time, and how the algorithm is gonna safe people by scanning on various chains? I don't think based on the few feature you mention is really gonna work.



Token utility use Cases


Simplified trading


In the current DeFi marketplace, though, managing your portfolio still requires daily diligence, and that can take up a lot of time. This raises the question: Is there a way to benefit from DeFi without giving away all your time, and potentially all your money, too? DeFi may be difficult, but making money from it doesn’t have to be. By aggregating various technologies we make it possible! Your CSD Token acts as a safeguard for your investments.


Automatic scoring mechanism



The auto-scoring mechanism functionality is developed to analyze the various crypto smart contracts, transactions, holders, wallets, and behavior comparisons to give them a score based on well-defined criteria from blockchain experts. We cannot predict asset values on the market and it’s not in our scope of work but we can give you a score to help you make investment decisions. The experimental proof of concept results showed us a high correlation between the scores of the auto-scoring mechanism and the manual scoring. The second layer of human expert crowdsource will add a more precise score.


Rug pull and scam detection



Based on the blockchain enterprise subscription plans we have access to their professional API endpoints to fetch any smart contract data including pending transactions so we can easily instantly detect any movements of funds. As described in previous chapters, our detection mechanism once detected can send notifications To CSD Token holder when specific events trigger the mechanism.



Smart contracts monitoring

Related to the same mechanism, different techniques can be applied with defined patterns to continuously monitor such data in the blockchain.


Address monitor

The same principle can be applied also on user-defined “watchers” to keep an eye on Wallet addresses added into monitor service as a custom job with custom criteria.


Transactions track down

In our early stage when tests have been made as described in the proof of concept chapter we succeeded with no doubt not only to track down transactions but also we
detected blockchain shifts and came back to the original owner including associating transactions with fraud projects and repetitive transactions with other addresses related to the same practices.




Blockchain shift detection


As described above we are able to track down transactions outside of the blockchain boundaries so we can keep track not only in the current network. Following these criteria, if we identify abnormal activity or we link one address to fraud in one network, we already have a bad score applied to the address in the other end. The chances of not being accurate are pretty low.

Behaviour comparison

Starting from the moment when machine learning is getting outside of the testing lab stage as described in the proof of concept chapter, once into the production environment will add a layer of behavior comparison with past projects using AWS AI scalable instances and save data into our data storage for instant future reports.

User defined instant notifications

At the cost notification service providers, any CSD Token holder can spend part of their CSD into being notified when specific events trigger defined criteria. CSD Tokens spent on special services like this one will be transferred to the team wallet for operational costs and further improvements of cryptoscamdefence.com.

Smart contracts whitelisting/blacklisting

Terms such as “blacklist” and “whitelist” were commonly used within cybersecurity and infosec circles to simply designate what person or application can access a system or network (and which ones were denied). Our scoring mechanism once filled with the qualified confirmed result against the detected smart contract scam project will automatically blacklist in our data storage and flag it as a highly risky investment with the option for the contract owner to be whitelisted back once it will pass all stages of the validation process where also the community it is involved.
 On top of this validation process being whitelisted by CryptoScamDefence gives contracts the badge of trust verified by cyptoscamdefence.com and community experts. Our scope of work is not only acting as arbitrage middleware but also based on our team experts together with CSD community voice and certified experts will provide enterprise-level audits to support newly created projects to get popular and trusted by the community and potential investors






More features to come

Crypto Scam Defence business model needs continuous improvement and focus on the community voice. Incremental changes into product feature it’s already on the checklist as continuous upgrades and implementation of any solid new features. Constant feedback from the community is an important aspect of the continuous improvement model. Open communication during every phase of executing an improvement is critical to both the final results of the improvement and to the maintenance and project managing costs. Making continuous improvement part of company culture is an excellent and cost-effective approach to tackling an organization’s most difficult challenges. When supported by improvement technology, results can be achieved quickly and success can be sustained over time.