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5 Things to Do When Ransomware Attacks

5 Things to Do When Ransomware Attacks. Analyze Situation, Lockdown Computer, Shut Down Source, Identifying Type, Verifying Backup or Paying the Ransom.

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5 Things to Do When Ransomware Attacks

It is your average weekday morning, you walk into your office, open your laptop, and you suddenly find out that all your files have been encrypted.

You proceed on to figure out what has happened, and you see a text file or an email that tells you your data has been locked, and you will get it back only if you pay a ransom. If that is the case, you have been attacked by a computer malware called Ransomware.

It is highly dangerous, and it will lock down the files on any computer it enters. If your computer has been infected with, there is no need to panic. You need to do these things quickly to make sure all other computers do not get infected:

1. Analyze Your Situation

The initial thing you need to do is analyze how this ransomware attack has affected you. The source of the virus could be several things. You do not necessarily have to click on something to get these viruses these days.

In some cases, you will be able to recover the files by using a ransomware recovery tool, while in other cases, you will have to get your files from the backup data.

In some cases, if the data is too valuable, you may have to consider paying the ransom as well. But to control the damage, make sure that you tell everyone at the workplace that your computer has been infected so all of them can take precautionary measures.

2. Lockdown Your Computer

The close thing you need to do is make sure that your computer is not connected to the server, and you are taking all the files you shared offline. If you did not click on the virus, you could also see your shared history as it can help you identify the source of the malware. If a particular user has opened too many shared files, it is highly likely that they are the source.

3. Shut Down the Source

While it can be a difficult thing to do in an organization, you will need to shut down the source user of the virus. It could be anyone from a senior position to junior level.

The IT personnel must be given the required permission to access that user’s computer and should track all the infected users before shutting the source down. It is essential to identify the source because this could help you limit the damage. If you start worrying about restoring files immediately, there is a high chance other computers will start getting infected.

4. Identifying the Type

There are several different kinds of ransomware viruses. To determine yours, you will have to look for the text file that the attacker left on your PC. You can use the screenshot of that file to scout the internet as there are a lot of communities out there that deal with ransomware discussions. Once you have identified the ransomware-type from that file, you will be able to move to the final step of recovery.

5. Verifying Backup or Paying the Ransom

Now once you have figured out the type of Ransomware, you can try to decrypt files by using software, but if it does not work, you are left with two choices. You can recover the backup data, or you can pay the ransom. For that, you will have to see how long it will take for the computers to recover the backup data and how efficiently it will do it.

You might end up losing some files, and your company will have to work a little hard to recover that difference, but instead of paying the ransom, this is the right thing to do.

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How do collect and train data for speech projects?

Data collection is the process of gathering, analyzing, and, measuring accurate data from diverse systems to use for business process decision-making, speech projects, and research.

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How do collect and train data for speech projects

With technology evolution, we are moving towards machine learning systems that can understand what we say. In our daily lives, we all have encountered many virtual assistants like Alexa, Siri, and others. These virtual assistants often help us in tuning the lights of our homes, finding information on the internet, and even starting a video conference. But do you know how it does that?

To produce results, these virtual assistants use natural language processing to understand the user’s intent. Natural Language Processing technology enables virtual assistants to understand user intent and produce outcomes. Basically, these virtual assistants are applications of automatic speech recognition and are also known as speech recognition software. This software uses machine learning and NLP to analyze and convert human speech data into text.

But, attaining maximum efficiency of these software requires the collection of substantial speech and audio datasets. The purpose of collecting these audio datasets is to have enough sample recordings that can be fed into automatic speech recognition (ASR) software.

Furthermore, these datasets can be used against the speakers using unspecified speech recognition models. And to make ASR software work as intended, speech data collection and audio datasets must be conducted for all target demographics, locations, languages, dialects, and accents.

Artificial Intelligence can be as intelligent as the data given to it. Hence, collecting data for feeding the machine learning model is a must to maximize the effect of ASR. Let’s discuss steps in speech data collection for effective automatic speech recognition training.

1. Create a Demographic Matrix

For creating a demographic matrix, the enterprise must consider the following information like language, locations, ages, genders, and accents. Along with these, it is a must to note down a variety of information related to environments like busy streets, waiting rooms, offices, and homes. Enterprises can also consider the devices people are using like mobile phones, headsets, and a desktop.

2. Collect and transcribe speech data

To train the speech recognition model, gather speech samples from real humans and take the help of a human transcriptionist to take notes of long and short utterances by following your key demographic matrix. In this way, human is a vital and essential part of building proper audio datasets and labeled speech and further development of applications.

6 Reasons to Transcribe Audio to Text

3. Build a separate test data

Once the text subscription is completed, it’s time to pair the transcribed test with the corresponding audio data and segment them to include one statement in each. Later on, take the segmented pairs and extract a random 20% of the data to form a set for testing.

4. Train the language model

To maximize the effectiveness of the speech recognition model, you can train the language model by adding general additional text that was not additionally recorded. For example in canceling a subscription, you recorded one statement that ‘I want to cancel my subscription, but you can also add texts like “Can I cancel my subscription” or “I want to unsubscribe”. To make it more effective and catchy you can also add expressions and relevant jargon.

5. Measure and Iterate

The last and important step is to evaluate the output of automatic speech recognition software to benchmark its performance. In the next step take the trained model and measure how well it predicts the test set. In case of any gaps and errors, engage your machine learning model in the loop to yield the desired output. 

Conclusion

From travel, transportation, media, and entertainment, the use of speech recognition software is evident. We all have been using voice assistants like Alexa and Siri to complete some of our routine tasks. To effectively use this speech recognition software requires proper training in the audio datasets and the use of relevant data for the machine learning model.

Proper execution and the right use of data make sure the speech recognition software going to work efficiently and enterprises can scale them for further upgrades and development. As data and speech recognition go hand in hand, make sure you are using data with the right approach.

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