In this article, we'll discuss information about the TrustCheck project. What is TrustCheck | Powerful Web3 Transaction Security?
TrustCheck, a free scam prevention tool for those transacting with cryptocurrencies, smart contracts and non-fungible tokens.
TrustCheck checks for scams programmatically, such as searching for wallet drainer template code, and with a team of humans to take a multi-layered approach.The TrustCheck user interface should feel familiar to anyone who has used a Web2 antivirus product. If a user tries to buy an NFT from a trusted site, TrustCheck shows the checks the site passed and explains what the transaction will do. Visiting a known scam site will throw up an immediate warning page. Proceeding past the page will lead to another warning when the site attempts a fraudulent transaction to steal wallet contents.
TrustCheck simulates transactions before they occur, uses its machine-learning engine to check for red flags, and analyzes data from over a dozen sources to detect threats. This results in a personalized, real-time security recommendation before you confirm your transaction.
How does TrustCheck work?
After you install the TrustCheck browser extension for Chrome, TrustCheck is always on, protecting you from a variety of threats.
When you purchase NFTs, transacting with smart contracts, TrustCheck works by placing your transaction on a brief hold and does a few things:
Based on all of these “checks”, TrustCheck quickly provides either a warning, or an explanation of the transaction you are about to confirm. You can then press “Stop” to cancel the transaction or “Proceed” to continue forward with it.
What does TrustCheck check for?
The extension will flag any transaction that would result in sending assets out without receiving anything back in return.
Note: Since TrustCheck is only currently analyzing ethereum mainnet transactions, it is not aware of assets being received on other chains or layer 2’s. Thus most bridge transactions will appear as flagged for transferring out, so users should proceed with these transactions only if they understand what they’re doing on a bridge. Even in these cases TrustCheck can still assist the user, as all other checks will still apply (website checks, address risks, etc).
The extension will flag any transaction that would result in granting new approvals to access the user’s assets. This displays in the extension as "Does not use a safe function" for one of the reasons for throwing the flag. If however the entity gaining access is on a list of trusted entities (as curated by the Web3 Builders ScamOps team), such as a well-established marketplace or exchange, this warning will instead appear as informational only.
Since one of the main mechanisms of asset loss in common scams are users approving transactions that do things they didn’t expect, TrustCheck aims to parse the technical details and clearly display as much as possible about pending transactions. To do this, TrustCheck aggregates multiple sources of metadata for addresses and projects to show:
In addition, for those that want to see it, TrustCheck displays the full decoded function parameters for the pending transaction on the transaction details tab.
TrustCheck will throw a flag when an older style of signature is requested. These typically contain only a hash such that the transaction itself cannot be decoded (meaning the action it would approve is obscured). These are flagged since they are often used by scam sites, and there are almost no legitimate use-cases where it should be expected (there are several newer, safer signature methods have been standardized and more widely adopted).
In many cases, scam sites will attempt to retry dangerous transactions multiple times, popping up a new request any time a transaction is requested. TrustCheck detects these transaction loops, notifying the user when the site appears to be spamming transactions and offers an easy way to close the site to break out of the loop.
Separate from blockchain transaction checking, TrustCheck performs several checks specific to the websites that originate transaction requests. These include:
Lists of known entities are aggregations of as many public and private reporting sources as possible, as well as scam reports submitted by users in the TrustCheck extension itself.
To prevent as many inaccuracies and spam as possible, all entries are curated and approved by members of the Web3 Builders’ team before inclusion on verified lists.
Website checks are applied while the user is browsing, as well as during transaction analysis.
When the check is triggered while browsing, navigation to the flagged site is gated by a warning, allowing the user to abort or proceed.
At transaction time, the extension displays the analysis of the site that originated the pending transaction:
Similarly to website checks, TrustCheck performs several checks on all addresses involved in a transaction at any point in the call stack (i.e. all contracts, all externally-owned accounts) These include:
Lists of known entities are aggregations of as many public and private reporting sources as possible, as well as scam reports submitted by users in the TrustCheck extension itself.
To prevent as many inaccuracies and spam as possible, all entries are curated and approved by human experts on the Web3 Builders’ ScamOps team before inclusion on verified lists.
On the TrustCheck transaction analysis screen, addresses are described as “high risk” if they meet the criteria for being flagged, or otherwise “not detected as high risk”.
How and Where to Buy token?
You will have to first buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
We will use Binance Exchange here as it is one of the largest crypto exchanges that accept fiat deposits.
Once you finished the KYC process. You will be asked to add a payment method. Here you can either choose to provide a credit/debit card or use a bank transfer, and buy one of the major cryptocurrencies, usually either Bitcoin (BTC), Ethereum (ETH), Tether (USDT), Binance (BNB)…
Once finished you will then need to make a BTC/ETH/USDT/BNB deposit to the exchange from Binance depending on the available market pairs. After the deposit is confirmed you may then purchase token from the exchange.
Top exchanges for token-coin trading. Follow instructions and make unlimited money
I hope this post will help you. Don't forget to leave a like, comment and sharing it with others. Thank you!
🔺DISCLAIMER: The Information in the post isn’t financial advice, is intended FOR GENERAL INFORMATION PURPOSES ONLY. Trading Cryptocurrency is VERY risky. Make sure you understand these risks and that you are responsible for what you do with your money.
Everything around us has become smart, like smart infrastructures, smart cities, autonomous vehicles, to name a few. The innovation of smart devices makes it possible to achieve these heights in science and technology. But, data is vulnerable, there is a risk of attack by cybercriminals. To get started, let’s know about IoT devices.
The Internet Of Things(IoT) is a system that interrelates computer devices like sensors, software, and actuators, digital machines, etc. They are linked together with particular objects that work through the internet and transfer data over devices without humans interference.
Famous examples are Amazon Alexa, Apple SIRI, Interconnected baby monitors, video doorbells, and smart thermostats.
When technologies grow and evolve, risks are also on the high stakes. Ransomware attacks are on the continuous increase; securing data has become the top priority.
When you think your smart home won’t fudge a thing against cybercriminals, you should also know that they are vulnerable. When cybercriminals access our smart voice speakers like Amazon Alexa or Apple Siri, it becomes easy for them to steal your data.
Cybersecurity report 2020 says popular hacking forums expose 770 million email addresses and 21 million unique passwords, 620 million accounts have been compromised from 16 hacked websites.
The attacks are likely to increase every year. To help you secure your data of IoT devices, here are some best tips you can implement.
Your router has the default name of make and model. When we stick with the manufacturer name, attackers can quickly identify our make and model. So give the router name different from your addresses, without giving away personal information.
If your devices are connected to the internet, these connections are vulnerable to cyber attacks when your devices don’t have the proper security. Almost every web interface is equipped with multiple devices, so it’s hard to track the device. But, it’s crucial to stay aware of them.
When we use the default usernames and passwords, it is attackable. Because the cybercriminals possibly know the default passwords come with IoT devices. So use strong passwords to access our IoT devices.
Use strong or unique passwords that are easily assumed, such as ‘123456’ or ‘password1234’ to protect your accounts. Give strong and complex passwords formed by combinations of alphabets, numeric, and not easily bypassed symbols.
Also, change passwords for multiple accounts and change them regularly to avoid attacks. We can also set several attempts to wrong passwords to set locking the account to safeguard from the hackers.
Are you try to keep an eye on your IoT devices through your mobile devices in different locations. I recommend you not to use the public WI-FI network to access them. Because they are easily accessible through for everyone, you are still in a hurry to access, use VPN that gives them protection against cyber-attacks, giving them privacy and security features, for example, using Express VPN.
There are software and firewalls like intrusion detection system/intrusion prevention system in the market. This will be useful to screen and analyze the wire traffic of a network. You can identify the security weakness by the firewall scanners within the network structure. Use these firewalls to get rid of unwanted security issues and vulnerabilities.
Every smart device comes with the insecure default settings, and sometimes we are not able to change these default settings configurations. These conditions need to be assessed and need to reconfigure the default settings.
Nowadays, every smart app offers authentication to secure the accounts. There are many types of authentication methods like single-factor authentication, two-step authentication, and multi-factor authentication. Use any one of these to send a one time password (OTP) to verify the user who logs in the smart device to keep our accounts from falling into the wrong hands.
Every smart device manufacturer releases updates to fix bugs in their software. These security patches help us to improve our protection of the device. Also, update the software on the smartphone, which we are used to monitoring the IoT devices to avoid vulnerabilities.
When we connect the smart home to the smartphone and control them via smartphone, you need to keep them safe. If you miss the phone almost, every personal information is at risk to the cybercriminals. But sometimes it happens by accident, makes sure that you can clear all the data remotely.
However, securing smart devices is essential in the world of data. There are still cybercriminals bypassing the securities. So make sure to do the safety measures to avoid our accounts falling out into the wrong hands. I hope these steps will help you all to secure your IoT devices.
If you have any, feel free to share them in the comments! I’d love to know them.
Are you looking for more? Subscribe to weekly newsletters that can help your stay updated IoT application developments.
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With an immense number of companies and entities climbing onto the digital bandwagon, cybersecurity considerations have come up as limelight. Besides, new technologies such as Big Data, IoT, and Artificial Intelligence/Machine Learning are gradually more making inroads into our everyday lives, the threats related to cybercrime are mounting as well. Additionally, the usage of mobile and web apps in transacting financial information has put the complete digital stuff exposed to cybersecurity breaches. The inherent risks and vulnerabilities found in such apps can be exploited by attackers or cybercriminals to draw off crucial information data counting money. Internationally, cyber-security breaches have caused a yearly loss of USD 20.38 million in 2019 (Source: Statista). Plus, cybercrime has led to a 0.80 percent loss of the entire world’s Gross domestic product, which sums up to approx. USD 2.1 trillion in the year 2019 alone (Source: Cybriant.com).
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In your search for a Business Intelligence (BI) or data visualization tool, you have probably come across the two front-runners in the category: Power BI and Tableau. They are very similar products, and you have to look quite closely to figure out which product might work the best for you. I work for Encore Business Solutions; a systems partner that specializes in both Power BI and Tableau. We’ve seen more than a few scenarios in which Tableau was being used when the company really should have gone with Power BI, and vice-versa. That was part of the inspiration for this side-by-side comparison.
Unfortunately, the internet is full of auto-generated and biased pages regarding which product trumps the other. The truth is, the best product depends more on you, your organization, your budget, and your intended use case than the tools themselves. It is easy to nit-pick at features like the coding language that supports advanced analysis, or the type of maps supported — but these have a minimal impact for most businesses. I’m going to do my best to stay away from these types of comparisons.
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In writing this comparison, I did a lot of research. The result was more than just this article: I also created a tool that can generate a recommendation for you based on your response to a short questionnaire. It will generate a score for both Power BI and Tableau, plus provide a few other things to think about.
Founded in 2003, Tableau has been the gold-standard in data visualization for a long time. They went public in 2013, and they still probably have the edge on functionality over Power BI, thanks to their 10-year head start. There are a few factors that will heavily tip the scales in favour of Tableau, which I’ll cover in the next few paragraphs.
Tableau: Key Strengths
Let’s make one thing clear from the start: if you want the cream of the crop, all other factors aside, Tableau is the choice for you. Their organization has been dedicated to data visualization for over a decade and the results show in several areas: particularly product usability, Tableau’s community, product support, and flexible deployment options. The range of visualizations, user interface layout, visualization sharing, and intuitive data exploration capabilities also have an edge on Power BI. Tableau offers much more flexibility when it comes to designing your dashboards. From my own experience, Tableau’s functionality from an end-user perspective is much farther ahead of Power BI than the Gartner Magic Quadrant (below) would have you believe.
Tableau built their product on the philosophy of “seeing and exploring” data. This means that Tableau is engineered to create interactive visuals. Tableau’s product capabilities have been implemented in such a way that the user should be able to ask a question of their data, and receive an answer almost immediately by manipulating the tools available to them. I have heard of cases in which Tableau actually declined to pursue the business of a customer in the scenario that the customer didn’t have the right vision for how their software would be used. If you just want something to generate reports, Tableau is overkill.
Tableau is also much more flexible in its deployment than Power BI. You can install the Tableau server in any Window box without installing the SQL server. Power BI is less flexible which I will discuss in Power BI Weaknesses.
Tableau can be purchased on a subscription license and then installed either in the cloud or an on-premise server.
Finally, Tableau is all-in on data visualization, and they have their fingers firmly on the pulse of the data visualization community’s most pressing desires. You can expect significant future improvements in terms of performance when loading large datasets, new visualization options, and added ETL functions.
Unfortunately, Tableau comes at a cost. When it comes to the investment required to purchase and implement Tableau – 9 times out of 10 it will be more expensive than Power BI, by a fair margin. Often, Tableau projects are accompanied by data-warehouse-building endeavours, which compound the amount of money it takes to get going. The results from building a data warehouse and then hooking up Tableau are phenomenal, but you’ll need an implementation budget of at the very least $50k – plus the incremental cost of Tableau licenses. Learn more from Power bi online course
Of course, a data warehouse is not a requirement. Tableau connects to more systems out-of-the-box than Power BI. However, Tableau users report connecting to fewer data sources than most other competing tools. Overall, considering the investment required to implement a data warehouse is a worthy indicator of the commitment required to get the most out of Tableau.
Power BI is Microsoft’s data visualization option. It was debuted in 2013, and has since quickly gained ground on Tableau. When you look at Gartner’s most recent BI Magic Quadrant, you’ll notice that Microsoft is basically equal to Tableau in terms of functionality, but strongly outpaces Tableau when it comes to “completeness of vision”. Indeed, the biggest advantage of Power BI is that it is embedded within the greater Microsoft stack, which contributes to Microsoft’s strong position in the Quadrant.
Power BI: Key Strengths
Though Tableau is still regarded by many in the industry as the gold standard, Power BI is nothing to scoff at. Power BI is basically comparable to all of Tableau’s bells and whistles; unless you care deeply about the manifestation and execution of small features, you’re likely to find that Power BI is fully adequate for your BI needs.
As I mentioned, one of the biggest selling points of Power BI is that it is deeply entrenched in the Microsoft stack – and quickly becoming more integrated. It’s included in Office 365, and Microsoft really encourages the use of Power BI for visualizing data from their other cloud services. Power BI is also very capable of connecting to your external sources.
Because Power BI was originally a mostly Excel-driven product; and because the first to adopt Microsoft products are often more technical users, My personal experience is that Power BI is especially suitable for creating and displaying basic dashboards and reports. My own executive team really likes being able to access KPIs from the Office portal, without having to put much time into the report’s creation, sharing, and interactivity.
Power BI’s biggest strength; however, is its rock-bottom cost and fantastic value. For a product that is totally comparable to the category leader, it’s free (included in Office 365) for basic use and $10/user/month for a “Pro” license. This increases adoption of the product as individuals can use Power BI risk-free. For companies that don’t have the budget for a large Business Intelligence project (including a data warehouse, dedicated analysts, and several months of implementation time), Power BI is extremely attractive. Companies that are preparing to “invest” in BI are more likely to add Tableau to their list of strongly considered options.
Power BI is available on a SaaS model and on-premise; on-premise is only supported by Power BI Premium licensing.
Microsoft is also investing heavily in Power BI, and they’re closing the small gaps in their functionality extremely fast. All of those little issues some users have with Power BI are going to disappear sooner rather than later.
Power BI Weaknesses
As I’ve mentioned, Tableau still has the slight edge on Power BI when it comes to the minutiae of product functionality; mostly due to their 10-year head start. But perhaps Power BI’s greatest weakness is its lack of deployment flexibility. For Power BI on-premise you need to install the Power BI Report Server as well as the SQL Server.
I also mentioned that Tableau works well for users with large amounts of data and for users that want on-premise systems. You should be aware that there are some new features being added to Power BI via Power BI Premium that help catch Microsoft up to Tableau in the areas of large datasets and on-premise capabilities – but Power BI Premium adds significant cost, and these features are relatively new. Tableau still reigns in these areas.
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