Blockchain Technology Is Enhancing Cloud Storage

Lately, cloud storage has arisen as the favored alternative for an ever-increasing number of organizations attributable to its adaptability, limits, and easy access to data. Also, many reputed cloud storage suppliers offer solid information encryption and other dependable arrangements to ensure security. Many organizations have moved their server centers onto the cloud because of load adjusting, information trustworthiness, and reinforcement choices.

What do you understand by Blockchain-based Cloud Storage?

In Blockchain-based cloud storage, information is separated into numerous scrambled fragments, which are interlinked through a hashing capacity. These safe sections are conveyed across the network, and each fragment lives in a decentralized area. There are solid security arrangements like transaction records, encryption through private and public keys, and hashed blocks. It guarantees powerful protection from hackers. Thanks to the sophisticated 256-bit encryption, not even an advanced hacker can decrypt that data.

In an impossible instance, suppose a hacker decodes the information. Even in such a situation, every decoding attempt will lead to a small section of information getting unscrambled and not the whole record. The outrageous security arrangements effectively fail all attempts of hackers, and hacking becomes a useless pursuit according to a business perspective. Another significant thing to consider is that the proprietors’ information is not stored on the hub. It assists proprietors to regain their privacy, and there are solid arrangements for load adjusting too.

There are numerous benefits of Blockchain-based cloud storage. Here are five of them:

Wonderful Combination of Security and Efficiency 

In the conveyed cloud storage, the clients are associated in a secured P2P network that gives them a decentralized method to store their strategic information without thinking twice about the security. There are other incredible advantages of utilizing Blockchain innovation to keep your information safe. It is up to ten times quicker and can bring down the total cost to half. Appropriated cloud storage deliberately joins transparency and security with the hash work, encryption through public and private keys, and transaction records.

Additionally, the cloud-based decentralized stockpiling saves the customers from numerous security dangers. The admittance to encryption keys and un-encoded documents are confined to the end-users only with the assistance of customer-side encryption. All these elements offer the customers complete authority over their assorted information resources.

Prevents Data Altering 

One of the biggest worries during cloud storage is to ensure that the original information has not been altered. The empiric design of Blockchain offers a confided approach to track the capacity and reinforcement history and affirm that the original information has not been altered. Rather than storing information, blockchain stores just the scrambled hashes of related information hinders accordingly giving the footsteps of the information to confirm its originality.

Solid Tracking Provisions 

By consecutively connecting the various blocks through cryptographic hashes the Blockchain naturally coordinates the information in an evident manner. Every block is connected to the past ones it creates a decentralized, scrambled, and certain transaction record in a conveyed structure.

Ensuring Transparency

Blockchain gives complete transparency that implies that any obscure action in the organization will be brought out of the shadows. Also, its successive stockpiling guarantees that every transaction can be checked whenever you want. By making a solid, coordinated, and interconnected lattice of blocks the Blockchain-based cloud storage likewise works with permanent transaction records to confirm possession and identity.

Self-Maintainable Mechanism 

Blockchain’s dispense and hash scrambled biological system helps in building a dependable environment. Blockchain proactively ensures safety against fraud and also makes sure that no compliances are penetrated by any member of the organization.

The utilization of savvy contracts gives a strong specialized arrangement to automatically implement condition-based prizes and punishments. In other words, it can be contrasted with self-maintainable hardware that can work naturally, autonomously, and precisely. Rather than dwelling on a focal machine, the Blockchain is similarly disseminated across numerous frameworks that offer its resistance against crimes.

In conclusion, Blockchain-based cloud storage amazingly combines security and versatility with its interlinked blocks, hashing capacities, and decentralized design. It settles on the innovation an optimal decision for inserting an additional layer of safety to the cloud storage. By carefully joining Blockchain innovation in cloud storage, the organizations can diminish their IT consumption, upgrade the security, and smooth out the progression of data.

Machine Learning Tools Used By Experts

Machine Learning Tools Used By Experts

The amount of data generated on a day-to-day basis is humungous so much so that the term given to identify such a large volume of data is coined as “big data”. Big data is usually raw and cannot be used to meet business objectives. Thus, transforming this data into a form that is easy to understand is important. This is exactly where machine learning comes into play. With machine learning in place, it is possible to understand the customer demands, their behavioral pattern and a lot more thereby enabling the business to meet its objectives. For this very purpose, companies and experts rely on certain machine learning tools. Here is our find of top machine learning tools used by experts in 2021. Have a look!


Keras is a free and open-source Python library popularly used for machine learning. Designed by Google engineer François Chollet, Keras acts as an interface for the TensorFlow library. In addition to being user-friendly, this machine learning tool is quick, easy and runs on both CPU and GPU. Keras is written in Python language and functions as an API for neural networks.


Yet another widely used machine learning tool across the globe is KNIME. It is easy to learn, free and ideal for data reporting, analytics, and integration platforms. One of the many remarkable features of this machine learning tool is that it can integrate codes of programming languages like Java, JavaScript, R, Python, C, and C++.


WEKA, designed at the University of Waikato, in New Zealand is a tried-and-tested solution for open-source machine learning. This machine learning tool is considered ideal for research, teaching I models, and creating powerful applications. This is written in Java and supports platforms like Linux, Mac OS, Windows. It is extensively used for teaching and research purposes and also for industrial applications for the sole reason that the algorithms employed are easy to understand.


Shogun, an open-source and free-to-use software library for machine learning is quite easily accessible for businesses of all backgrounds and sizes. Shogun’s solution is entirely in C++. One can access it in other development languages, including R, Python, Ruby, Scala, and more. Everything from regression and classification to Hidden Markov models, this machine learning tool has got you covered.

Rapid Miner

If you are a beginner then there cannot be a better machine learning tool to start with other than Rapid Miner. It is because of the fact that it doesn’t require any programming skills in the first place. This machine learning tool is considered to be ideal for text mining, data preparation, and predictive analytics. Designed for business leaders, data scientists, and forward-thinking organisations, Rapid Miner surely has grabbed attention for all the right reasons.


TensorFlow is yet another machine learning tool that has gained immense popularity in no time. This open-source framework blends both neural network models with other machine learning strategies. With its ability to run on both CPU as well as GPU, TensorFlow has managed to make it to the list of favourite machine learning tools.

Chaos ransomware targets gamers via fake Minecraft alt lists

Chaos ransomware targets gamers via fake Minecraft alt lists

Minecraft villains

The Chaos Ransomware gang encrypts gamers’ Windows devices through fake Minecraft alt lists promoted on gaming forums.

Minecraft is a massively popular sandbox video game currently played by over 140 million people, and according to Nintendo sales numbers, it’s a top-seller title in Japan.

Masked as an ‘alt list’ text file

According to researchers at FortiGuard, a recently discovered variant of the Chaos ransomware is being tentatively distributed in Japan, encrypting the files of Minecraft players and dropping ransom notes.

The lure used by the threat actors are ‘alt list’ text files that supposedly contain stolen Minecraft account credentials, but in reality, is Chaos ransomware executable.

Minecraft players who want to troll or grief other players without the risk of their accounts being banned will sometimes use ‘alt’ lists to find stolen accounts that they can use for bannable offenses.

Due to their popularity, alt lists are always in demand and are commonly shared for free or through automated account generators that supply the community with “spare” accounts.

Alt list txt offered for free download
Alt list txt offered for free download

The Chaos Ransomware

When encrypting victims, the Chaos ransomware will append four random characters or digits as the extension to encrypted files.

The ransomware will also drop a ransom note named ‘ReadMe.txt,’ where the threat actors demand 2,000 yen (~$17.56) in pre-paid cards.

Ransom note dropped by Chaos
Ransom note dropped by Chaos actors
Source: FortiGuard

A destructive infection

This particular variant of the Chaos Ransomware is configured to search the infected systems for different file types smaller than 2ΜΒ and encrypts them.

However, if the file is larger than 2MB is will inject random bytes into the files, making them unrecoverable even if a ransom is paid.

Due to the destructive nature of the attack, those who pay the ransom can only recover smaller files.

The reason for this functionality is unclear, and it could be caused by poor coding, incorrect configuration, or to damage gamers’ files purposely.

In this particular campaign, the threat actors are promoting text files to create a false sense of security while swapping them out in the end with executables.

Users should be suspicious of and not execute any files they download from the Internet unless they trust the site and have scanned it with a tool like VirusTotal.

Russian Hackers Reportedly Hid Behind Americans’ Home Networks

Photo: GREG BAKER/AFP (Getty Images)

Russian military hackers have been waging an ongoing hacking campaign against high-level American targets and have used a special technique to mask their activities: a tool to hide behind addresses associated with everyday Americans’ home and mobile networks.


In case you missed it, the “SolarWinds” hackers are back. A

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“Residential proxies enable someone to launder their internet traffic through an unsuspecting home user to make it appear as if the traffic was originated from a U.S. residential broadband customer instead of from somewhere in Eastern Europe, for example,” Doug Madory, an employee at cybersecurity firm Kentik, told the outlet.

This is interesting but there’s definitely something weird about how pedestrian this is. You would think that Russian military hackers would have a slightly more sophisticated obfuscation technique than one that anybody else could use. Apparently not.


At any rate, whether’s it’s sophisticated or not, the technique seems to have helped these hackers stay busy. Microsoft has reported that, between July 1st and Oct. 19th of this year, the hacking group has attacked 609 of their customers 22,868 times.

“This recent activity is another indicator that Russia is trying to gain long-term, systematic access to a variety of points in the technology supply chain and establish a mechanism for surveilling – now or in the future – targets of interest to the Russian government,” Tom Burt, Microsoft’s vice president of privacy and security, said in the company’s recent blog.


Managing risk through better information management

Article by M-Files alliance & partner manager for A/NZ Chris Smith.


Managing risk has become more complex as organisations grapple with new remote working demands, increased security threats, and ever-growing amounts of data. This has created a need to transform the risk management function by using creative and powerful technology solutions.

To effectively manage risk, organisations need a comprehensive view of information and data. Risk managers need to know the data they’re working with is accurate, correct, and up to date, with no concerns around version control or security. They need to use this data to identify and remediate risks to the business, so this data must be easy to access in a timely fashion.

Simply identifying risks, threats, and opportunities can be challenging for organisations without full control over their data. The sheer volume of information can exacerbate this challenge, especially where critical information resides in information silos such as legacy systems, shared drives, and email inboxes.

When organisations can’t quickly access critical information, they can end up making decisions that, while not disastrous, could potentially have been better. Incomplete or inaccurate data can lead to inferior decisions. By contrast, when data is integrated across systems, organisations can act smarter and faster.

Many business leaders aren’t aware of the shortcomings in their information management systems or that the data they’re basing decisions on isn’t complete. Therefore, the first step in managing risk more effectively is to understand where information management systems can improve.

One key area is in leveraging data from various sources. Organisations have a wealth of internal data; however, they should also gather and analyse external data for a more rounded picture of risk. This data can include information on consumer sentiment, climate change, or legislation, for example. Armed with a more holistic perspective, risk managers can start to make decisions that empower the business to move forward with confidence.

Businesses need to employ intelligent search capabilities to discover and use the right data at the right time. Consolidating data into a fully searchable environment with contextual results can let risk managers securely analyse and share information and collaborate on business exposure.

A valuable way to collaborate is through creating risk hubs that let risk teams securely share data. This data can be used to plan, run what-if scenarios, and respond to future events more effectively. For this decision-making to be reliable, it’s essential to use factual, vetted, and real-time (or near-real time) data. A risk hub lets internal and external stakeholders work together to transform risk management.

The recent coronavirus pandemic threw a spotlight onto the need for effective risk management and planning. Many organisations weren’t ready for lockdowns, social distancing, and contact tracing measures. 

Businesses that could pivot quickly to secure remote working were best placed to weather the storm; with an uncertain future, effective risk management based on intelligent information management is utterly essential for organisations to thrive.