lottery 419 scam

lottery 419 scam

Bayesian Spam Filters – How Do They Work?

Bayesian spam filters, which are a type of scoring content-based spam filters, analyze the contents of the mail, and calculate the probability of the message being spam. It builds up a list of characteristics of elements that are typically spam as well as good emails. The advantage of the Bayesian spam filters is that they build up the list of characteristics themselves, and do not depend on the manually built list.

Bayesian spam filters more or less try to emulate how you personally identify your spam emails. One look at an email tells you whether the email is genuine or spam. The probability that you will characterize a good mail as spam is ‘zero’. Ideally, it would be great if spam filters do work in the same way. At least, the Bayesian spam filters are trying in this direction.

Spam Filtering

Suppose that the word ‘textile’ often appears in your legitimate mails, but never in your spam mails, then there is zero probability of the word ‘textile’ indicating spam. On the other hand, the words ‘Nigeria’ and ‘lottery’ quite often and at times most exclusively, appear as spams – made famous by the 419 scams out of Nigeria and elsewhere in Africa.

For Bayesian spam filters, these two words ‘Nigeria’ and ‘lottery’ have every probability of being found in spam emails – as much as 100 percent.

Whenever you receive a new message, the Bayesian spam filter analyzes it, and calculates, by using the individual characteristics, the probability of it being a spam. If it so happens that your message contains both words, ‘textiles’ and ‘Nigeria’ or ‘lottery’, the Bayesian spam filter cannot ascertain whether the message is a genuine one or a spam. It will further analyze other characteristics that will allow it to assess the probability of classifying the message as either, spam or legitimate.

Bayesian Spam Filters – Adapting Automatically

Once you have classified the message, as shown above, it can be used to further train the spam filter. This is how it works. In the above scenario:

• If the message is analyzed as being spam, then the probability of the word ‘textile’ indicating legitimate mail is lessened.

• If the message is analyzed as being legitimate mail, then the probability of the words, ‘Nigeria’ or ‘lottery’ – whichever was used – needs to be re-analyzed and re-considered as spam.

The advantage of Bayesian spam filters is that they self adapt by learning from their own decisions, as well as the user’s decisions – if made manually. This automatic adaptability of the Bayesian spam filters is excellent for individual email users. Most spam emails have very similar and at times identical characteristics, whereas the characteristics of legitimate mails are different for each individual.

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419 Scams, Lottery, Job Offers & Inheritance Scams!?

I receive 2 or 3 scam emails a day offering various things, jobs to cash fake checks and send the money to the scammers via Western Union, Lottery Winnings and of course help in recovering an inheritance. I know one can’t save the world, but I would like to know how collectivity Yahoo users can defeat this. It seems like most of these scammers use Yahoo to send emails and Messenger to communicate with potenial vicitims. Nothing seems to work to stop these crimmnals, scambaiting, contacting the FBI or Secret Service or even writing our legislators! I know if enough people from the online community either complain or take some action, we can defeat this evil from the internet!

Knowledge is power. The more people know that this sort of thing is a scam, the better. Of course, anyone who gets duped into these ridiculously poorly formed scams kinda gets what they get, in my opinion.

You can always report the emails to the FBI, but I don’t really think it does much good. The bulk of these scammers are in England and Nigeria and it can be very difficult to prosecute them.

Some people think that the best way to deal with them is to reply and act very interested and waste as much of the scammer’s time as possible so that they can’t harm other people. I use the same technique on telemarketers.

There are much bigger fights to pick in this world, and going after conmen with poor typing skills just isn’t one of them for me. I’d rather do things like protest the injustices of society and government and try to actually help people who need it. If the distribution of wealth weren’t so unfairly tipped in favor of a small group of people, there probably wouldn’t be so many people desperate to separate those lucky few from their cash.

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