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What is the dark web? To explain the dark web, we need to start at the surface — or rather, the surface web. The surface web is the server that we access on a daily basis to browse, read, shop, and chat with friends; it contains all of the websites that search engines such as Google crawl, rank, and index to provide you with your search results.
Online banking, for example, is possible thanks to the deep web. You are required to provide at least a username and password before accessing your online account.
Deep websites are not ranked in the same way as surface websites — if you want to access your own private bank account, you cannot simply Google ‘my bank account’, which is for your own security and privacy.
Finally, the dark web. The dark web can’t even be accessed via regular internet browsers. Instead, a special server known as the ‘Tor’ browser must be downloaded. The dark web operates via anonymity, meaning your identity, location, and actions are also masked.
This is why many people associate the dark web with criminal behaviour. But is the dark web illegal? Technically not — there are no laws against accessing this part of the internet. However, you should be aware that criminal activity does occur on the dark web, including the sale of personal information to commit identity theft.Why is my information on the dark web?
Many people are shocked to learn that their private information has wound up on the dark web, particularly as most of the time they didn’t even know the dark web existed.
In our day and age, most activities are conducted online, be it internet shopping or booking a medical appointment. All of the information that we provide is incredibly valuable to online criminals, who can sell data stolen in security breaches on dark web forums for quite a profit. This data typically includes a person’s:
Date of birth
Mother’s maiden name
Tax file number
Driver’s license number
Online login credentials
In isolation, this information may seem quite innocuous. What, for example, is someone going to do with your full name? However, when combined, data such as this can be used to commit full-scale identity theft. This can involve everything from starting a new phone contract in the victim’s name to taking out a significant loan that ruins their credit history.
The worst part? It is practically impossible to have information on the dark web removed, meaning that your best offence is a good defence.Top security tips
Also read: 7 Best Woocommerce Plugins to boost your Store you must know
Set strong passwords:
If you are one of those people that use the same password for every one of your online accounts, you are simply asking to be hacked.
Each of your accounts should have a different secure password, made up of a combination of uppercase letters, lower case letters, numbers, and special characters. If you struggle to remember passwords, consider using a password manager.
Keep track of your online activities:
Many of us sign up to an online service — be it a telehealth provider or a social media platform — only to never return to the site ever again. However, your information remains uploaded to the site, most likely only protected by an easily guessed password. Keep track of your online activities and fully delete any accounts that you no longer use.
Monitor your financial accounts:
Also read: What Is Forex Trade? 5 Untold Forex Trading Benefits + Expert Tips For Higher Forex Profit
Use dark web monitoring:
Given the amount of information that we share online, there’s always a risk of it ending up in the wrong hands. Identity theft may be one of the biggest challenges facing digital users in the 21st century, which means that internet security should be one of your top priorities.Bridget Black
Bridget is a writer and editor, currently living in Melbourne. She is a copywriter for Newpath Web and loves working with words of all shapes and sizes. When not playing around with punctuation and grammar, she enjoys travelling and curating her Spotify playlists.
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You're reading Protect Your Information — Before It Ends Up On The Dark Web
Thanks to a certain online drugs marketplace called “Silk Road”, you may have become aware that there is another version of the Internet out there. One which cannot be accessed by any ordinary browser or indexed by any ordinary search engine.
It is called the Dark Web, not to be confused with the Deep Web, which are websites which cannot be ordinarily accessed due to paywalls or password-protected login pages (such as online banking).
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The Dark Web has some legitimate valid uses, such as protecting the free speech of dissidents and activists in countries run by oppressive regimes (such as China). But mostly, the Dark Web has been referred to as the “dark underbelly of the web”. A lot of it comprises drugs, pornography, gambling, hitmen, and various other criminal enterprises.
That being the case, you might ask why it is worth even looking at it if you are not inclined that way. I would argue that it is worth taking a look, even if it’s just for curiosity’s sake. It’s a fascinating glimpse at another world.The Onion (Tor) Browser
To access the Dark Web, you need a specialised browser. Using Firefox, Chrome or Safari is not going to work. To access the Dark Web, you need the Onion Browser (otherwise known as Tor). You can download and install the Tor Browser by going to the Tor website.The Dark Web’s URLs
Instead it is a random selection of characters which makes Dark Web sites hard to find and guess. This is part of what makes the Dark Web attractive to criminals and others who want to operate under the radar.
Since Dark Web sites go up and down all the time, and figuring out the URL is pretty much impossible, even Dark Web search engines are notoriously unreliable! But if you are a blogger in say Beijing, you wouldn’t want your Dark Web site indexed anyway by a search engine for the government to track you. You would instead rely on word of mouth from trusted supporters to find you.Diving Into The Dark Web
Once you have the Tor browser installed and open (which is extremely easy and requires no special configurations), it’s time to look at some sites.
I should say before continuing that although Tor is a modified Firefox browser, you should NOT install any Firefox extensions. There are two extensions already pre-installed – NoScript and HTTPS Everywhere. They are there for your security – do not install any others.
With that in mind, also remember that the Dark Web is the Wild West of the Internet. There are no rules and you are going to encounter some seriously creepy and dangerous individuals if you venture onto forums and chat rooms.Search Engines & Directories
Almost everyone universally agrees that the best place to start with the Dark Web is chúng tôi . This is a Dark Web search engine which can be accessed on the regular Internet too.
Making your way around the Dark Web involves just looking at search engines and directories and basically browsing until you find what you want. Each of you will have your own different interests so it would be pointless to send you in one particular direction.
If the site is continuously down, use Ahmia to search for the site’s new location.
There are SO MANY pages to look at in the Dark Web, but we’re obviously not going to show you where to buy a gun or a fake passport. So the links above are a good starting point and from there you will immediately go off in a dozen different directions all at once.
The popular crypto analyst DonAlt warned that bitcoin might not be out of the woods yet
Bitcoin has lost roughly 80% of its value since its all-time high last November. It was approximately a year ago when the industry was booming, led by the massive gains charted by the largest cryptocurrency. Perhaps fueled by the futures ETF launched in the US, bitcoin price had pumped to US$69,000, marking a fresh all-time high. Central banks turned their monetary policies from printing excessive amounts of their respective currencies to raising interest rates, trying to battle the galloping inflation they created. This, along with the war in Ukraine and a few other macroeconomic factors, pushed riskier assets south, and the Bitcoin price decline was no exception. But the landscape worsened following several industry-wide collapses, started by Terra’s spectacular fallout.
But the popular crypto analyst DonAlt warned that bitcoin might not be out of the woods yet. By comparing the current bear cycle with the previous two, the strategist said BTC price could fall as low as $9,500 if it mimics the 2014-2024 bear market or $11,000 if the events from 2023-2024 transpire again. Will Bitcoin lose value and fall back to zero by the end of 2023?Bitcoin Supply and Demand
Supply and demand influence the prices of most commodities more than any other factor. Bitcoin’s market value is primarily affected by how many coins are in circulation and how much people are willing to pay. By design, the cryptocurrency is limited to 21 million coins—the closer the circulating supply gets to this limit, the higher prices are likely to climb. It is difficult to predict what will happen to prices when the limit is reached; there will no longer be any profit from mining Bitcoin.
As big financial players compete for ownership in an environment of dwindling supply, Bitcoin price will likely fluctuate in response to any actions they take. At the time of writing, BTC trades at US$19,000 with 0.4% profit and a 2% loss in the last 24 hours and 7-days, respectively. The benchmark cryptocurrency has been one of the worst-performing assets in the top 10 by market cap as XRP (+30%) and Solana (+7%) take the lead.
Bitcoin has plunged more than 52% year to date and is now hovering around US$21,000 per coin, according to data from Coindesk. The most popular cryptocurrency has shed about 70% of its value since hitting an all-time high of roughly US$69,000 in November. The entire crypto market is feeling similar pain. The overall market capitalization of crypto assets has dropped to less than US$1 trillion from its November 2023 peak of US$3 trillion.
It’s the first time since 2023 that the asset class has been worth less than US$1 trillion. Many other assets are also experiencing volatility that’s shaking investors. The S&P 500 Index this week fell into the bear market territory, defined as a drop of at least 20% from the most recent high. Bonds are also sliding, leaving investors few places to hide in markets.Reasons behind Bitcoin price decline:
Dozens of mainland Chinese cities, including Shanghai, are in covid-related lockdowns, and this is negatively affecting companies around the world. The Russia-Ukraine war is also costing the world billions.
Over 40 countries, including China, have either outright banned crypto or have cut off banking access to the ecosystem, or prohibited cryptocurrency exchanges. It is one of the reasons for the Bitcoin price fall and why it will reach rock bottom before 2023 ends.
It has imposed a flat 30% income tax on crypto profits while disallowing any exemptions due to crypto losses. A 1% TDS is coming into force from 1 July, and a goods and services tax of 18% or more is also expected. Despite the taxes, the government has made it clear that crypto has not been legally recognized. This has had a huge negative impact on the Indian crypto ecosystem.
The first country to make Bitcoin legal tender has been unable to get its citizens to use it. And their Bitcoin Bond met with zero interest. It is one of the reasons for the Bitcoin price fall and why it will reach rock bottom before 2023 ends.
Examples – Ronin exploit ($615 million), Solana Wormhole exploit ($326 million), the Beanstalk flash loan attack ($181 million), and the Qubit exploit ($80 million). These exploits and scams bleed investors and severely impact sentiment.
Crypto data firm CryptoQuant’s BTC leverage ratio hit all-time highs in early January, meaning more investors were taking on risk in the crypto space. Just like in traditional markets, crypto investors will often use debt to finance purchases of futures. It is one of the reasons for the Bitcoin price fall and why it will reach rock bottom before 2023 ends.
This is due to many plagiarized works, fake collections, spam, frauds, rug-pulls, and wash trading. It is one of the reasons for the Bitcoin price fall and why it will reach rock bottom before 2023 ends.
The biggest problem the crypto markets face when leveraged investors liquidate a large portion of their assets is the overall liquidity of the markets. Unlike in the stock market, there aren’t always a bunch of buyers waiting to snatch up unloaded coins. This is part of the reason why crashes tend to occur over weekends for crypto. There are fewer investors tuned in to buy when a bunch of coins is sold.
Terraform Labs is the organization behind UST, LUNA, and Luna Foundation Guard. This selling pressure has also dragged the entire crypto market down. It is one of the reasons for the Bitcoin price fall and why it will reach rock bottom before 2023 ends.
Dark web analytics tools can help cybersecurity practitioners analyze web attacks and thefts
The phenomena of the internet is constantly evolving and these developing circumstances need constant monitoring. We are all familiar with the concept of the dark web and the terrifying practices that are conducted through these platforms. Pretty much everything we do on basic internet platforms is visible, traceable, and is being monitored by government officials and other companies. However, the dark web is beyond our reach. The deep web consists of various areas that carry out malicious activities including hacking major organizations, illicit drug trades, terrorist operations, and others. For years, government institutions and businesses have been trying to develop dark web analytics tools that can help them understand how such operations are being carried out. These tools help network operators and cybersecurity practitioners to perform dark web analysis and find out what data is being stolen by these malpractitioners. Leaked data or information can cause personal and financial damage as well as reputational damage to any organization. Here, we have mentioned the top dark web analytics tools for network operators that can help them monitor and analyze businesses on the dark web and save them from potential attacks.Cobwebs
Cobwebs is an AI-powered dark web monitoring platform that helps companies gain situational awareness with real-time intelligent insights generated by online content monitoring. By using its automated web intelligence platforms, network analysts can identify new targets and groups, hidden data, and complete an entire investigation with ease.DarkOwl
DarkOwl empowers cybersecurity organizations, law enforcement, and government organizations to fully understand the security posture and detect potential breaches and violations of the law to minimize or completely eradicate cyber scams. DarkOwl aims to provide security tools against the dark web to clients across the dark net at ease. Their scam tool Vision can index the content of malicious sites all over the World Wide Web to identify data stolen from its clients.Dashlane
Dashlane believes that dark web monitoring and password health belong together. By using a Levenshtein distance metric, Dashlane users can determine password similarity while keeping an eye on the credentials that might surface on the dark web. The software scans billions of accounts and passwords available in data collections on the dark web and flags victim accounts with a prompt to take action.Lastpass
With over 25 million users, LastPass guarantees protection even if the user is not logged in. The platform monitors accounts and sends alerts if any information has been leaked. It also promises efficient web monitoring as part of its LastPass Security Dashboard.SpyCloud ATP Prevention
SpyCloud offers two types of services for account takeover prevention, one would be to cover the employees of the companies and the other to protect the customers from scamming online services. The tool is basically an identity protection service with a different version that is entirely dedicated to businesses. The system gathers account names and adds them automatically to dark web scanners.
Digital Stakeout offers Scout, a dark web threat intelligence service that includes workflows and machine learning to detect illicit practices on the network. It is basically a network-based intrusion detection system that analyzes malicious behavior and refers to a database filled with suspicious addresses to find out the culprit.Defendify
Defendify is a pioneering multi-purpose dark web analysis tool that aids organizations with growing security needs. The application is backed by experts who offer insights and help businesses with guidance and support to emerge out of a situation. With the help of Defendify, organizations can streamline cybersecurity assessments, testing policies, training, detection, and response through compact and affordable cybersecurity solutionsFlashpoint Intelligence Platform
The Flashpoint Intelligence Platform offers access to its archive of finished intelligence reports, including data from illicit communities and chat services, along with pertinent technical data. The platform delivers prominent intelligence that empowers organizational teams to make more informed decisions and mitigate risks across their entire organization.Recorded Future
Recorded Future combines automated analytics with human expertise to the various open-source, dark web, technical sources, and original research. The platform provides security teams to companies with all the required information to amplify their security programs. Its machine learning and NLP integrations instantly create links from sites on the dark web to other threat sources.ACID Cyber Intelligence
This article was published as a part of the Data Science Blogathon.Introduction
Most data science projects deploy machine learning models as an on-demand prediction service or in batch prediction mode. Some modern applications deploy embedded models in edge and mobile devices. ML web app Model creation is easy but the ML model that you have been working on is of no use until and unless it is used in the real world and ready for production.
We’ll start with Model Deployment and why we should deploy the ML web app model on AWS. The article is chopped into parts this is because I’m trying to explain as simply as I can in order to make model deployment in AWS accessible for as many people as possible. So now let’s go!What is Model Deployment?
Deployment is the method by which you integrate a machine learning model into an existing production environment to make practical business decisions based on data. It is one of the last stages in the machine learning life cycle and can be one of the most cumbersome.What is AWS?
Services Provided by the AWS:-
Now as we have some basic understanding of Model deployment and AWS so now let’s dive into creating a website using ‘Streamlit library in Python.Why Deploy your App on AWS?
Suppose that you have created an ML web app or any other app, that predicts the salary based upon the year of experience. But in order to reach that app to users/world so that users can use that app, you need a server(a server is nothing that provides services). In order to run any program/app, you need an OS. So in the server, an OS is running on which we deploy our code/app so that it can keep on running without having an actual computer/OS.
For getting a server we use multiple cloud services like AWS, GCP, AZURE, and many more. What these services do is that it provides us with a server for it is EC2 (Amazon Elastic Compute). EC2 provides an entirely new PC/server. A PC contains OS, network card, storage, and many types of things. In EC2 we just deploy our code so that our app will be running.What is Streamlit?
Streamlit is a library in python that helps data scientist to deploy their models on websites. In simple terms, it is specifically made for data scientists as It helps them to create web apps for data science and machine learning in a short time.Why use Streamlit?
Now let’s create a website using streamlit.
The model is trained, so I have created the pickle file of the model so that I don’t have to, again and again, train the model. With the pickle file, your trained model is loaded and you will be using that model.
Let’s install streamlit library before creating a website:-
conda install -c conda-forge streamlit
Here is the code for the websiteimport joblib import matplotlib.pyplot as plt import pandas as pd import streamlit as st model = joblib.load('cancer.pkl') def web_app(): st.write(""" # Breast Cancer Predictor Web App ## This app predicts whether cancer is Benign or Malignant. """) st.header("User Details") st.subheader("Kindely Enter The following Details in order to make a prediction") cell_shape = st.number_input("Uniformity of Cell Shape",0,10) clump_thickness = st.number_input("Clump Thickness",0,10) cell_size = st.number_input("Uniformity of Cell Size",0,10) marginal_adheasian = st.number_input("Marginal Adeasion",0,10) single_epithelial_cell_size = st.number_input("Single Epithelial Cell Size",0,10) bare_nuclei = st.number_input("Bare Nuclei",0,10) bland_chromatin = st.number_input("Bland Chromatin",0,10) normal_nucleoli = st.number_input("Normal Nuceloi",0,10) mitosis = st.number_input("Mitosis",0,10) result = model.predict([[cell_shape,clump_thickness,cell_size,marginal_adheasian, single_epithelial_cell_size,bare_nuclei,bland_chromatin, normal_nucleoli,mitosis]])
if result == 2:result = "Benign" else: result = "Malignant" st.text_area(label='Cancer is:- ',value=result , height= 100) if st.button("Press here to make Prediction"): run = web_app()
That’s how our website looks:
Down below I will be attaching the link to the GITHUB repo.
As we have checked our website is running perfectly time to deploy it on AWS EC2.How to Deploy your APP on AWS EC2?
Before deploying the website make sure you have an account on AWS. If not, first register and create your account after that follow these steps.
This step is very important because through this step only users from the public world will be able to access it.
Note: Keep this file stored in a folder with this file within your cmd prompt you can also access the server.
Congrats you have created your first EC2 instance.
3. Before entering the EC2 instance, we first need to create a new IAM policy ( IAM stands for Identity Access Management with IAM you can write a policy/role so that one AWS service can access another AWS service). By default, AWS doesn’t allow one AWS service to access another service this is because to avoid any security conflict.
Important Note!! :– We created this new role because in S3 we will be storing our pickle file of the model and in order to get that file inside the EC2 instance we must put the file in S3. S3 stands for Simple Storage Services with these services you can store your data files and later you can use them with various AWS services.
4. Now search for S3 press Alt+F4
8. Now we have configured the changes in AWS EC2. Now it’s time to launch the Instance.
Now install streamlit inside the EC2 using this command:
pip3 install streamlitS
You are currently login as ec2-user. In order to get access to s3, we need to log in as root users. To log in with the root user use this command.
Now go inside your EC2 and follow the below Steps:
2. Go to the EC2 instance then paste the S3 URL inside your EC2
aws s3 cp Your S3 URL/name_of_file name_of_file
aws s3 cp s3://mlwebapp/cancer.pklcCancer.pkl
3. In order to check whether the file is uploaded or not use this command. This command tells the contents inside your directory. This is a Linux command.
4. Now do the same for web_app.py
5. We also need to install joblib as through the library we are able to load the model that we have trained that is chúng tôi file. And also install the sklearn library as this library contains all the models so install this also
pip3 install joblib
pip3 install sklearn
The final and last step is to run the web-app use this command to run the app.
streamlit run web_app.py
Copy any of the URLs, for the public world to connect to this app we give External URL, but if we want to check how the app looks then we use the Network URL i.e the private network. After URL has been copied paste that into your new tab.
Now fill in those details to make a prediction
Congratulations on creating an ML web app and deploying it on AWS. Now anyone in the world can use your app.
Here is the GitHub repo for the same, in here I have uploaded all the files including chúng tôi web_app.py, and the file in which I have trained the model using Logistic Regression. Link to the GitHub repo.Conclusion
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When graduate from college, you have two options:
to search for your dream job at top enterprises and hope your knowledge and skills will be enough for them to hire you; or
to risk and start your business, better known as a startup today.
Which would you choose?
If you read this, you’ve made a choice already. Launching a startup is easy, and dozens of guides have been written to help you. Most of them provide one and only tip that makes sense to them: just take the first step!
Easier said than done.
Yes, you don’t want a job working for “the man”; yes, you want to become a great entrepreneur even if your business is small; and yes, you are inspired by examples of Bill Gates or Steve Jobs who were young and reckless to risk and avoid all obstacles on their way to success.
But still… What do you need to startup? What are those worldly duties you need to know before launching?First Things First
Any Tom, Dick or Harry can launch a startup in a few hours. All they need is a computer and Internet access, and that’s it: they consider themselves entrepreneurs already. What they forget about is a startup capital.
You have two variants for getting money on your business:
find investors and
apply for a loan.
The latter one is quite challenging, especially if your credit score leaves much to be desired. So, if you plan to get a business loan one day, make sure you manage your credits properly and protect your identity from scammers.Money’s In Pocket. What’s Next?
Once you’ve got a loan for your business, you should know how to manage your business credit.
These tips will help you succeed.1. Create Your Business Credit File
You need it for financial institutions to find all necessary information about your business.
Plus, make sure you’ve taken care about these steps, including:
your startup name;
your employee identification number;
registering your trade name;
getting a license;
asking localities about permits;
completing a tax form;
getting a business bank account.2. Take Care of Your Credit History
Even if you have some credit, your business loan should have a separate history. All you need to do it establish it and save the information about all expenses you spend on your startup.3. Always Pay On-Time
Good payment history is a must for every startup. Try paying the bills in time and using your credit lines carefully.4. Update Your Credit File Regularly
Always check your business file for changes, as it may affect your relations with financial institutions, customers, and partners. Make sure the information in this file is up to date (your location, the number of employees, etc.)Why Your Credit Management Is a Must
Some younger people don’t understand the significance and necessity of credit management. It helps, however, to solve several problems and make startups more profitable.
For example, your business credit management:
helps to get more finances from investors;
helps to build trust with your audience;
helps to protect your start-up from spammers and thieves;
helps to plan and make further decisions; and
helps to avoid problems with banks and other financial institutions.
Launching a startup after graduation from college is challenging and risky by all means. Anyway, with all informative resources, tools, and instruments available today, the process will not look so difficult. Take the first step, take care of your start-up capital, and make your dreams come true!
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