How student identity electronic spam?Electronic Spam, is not only abuse of online messaging systems such instant messaging, email but also easily find at social media, forum or comment area at blogs. And this is really dangerous because some of electronic spam not only advertise their link to grab visitor but also for harm purpose like phishing, porn, virus or spy and hacking.
Electronic Spam, is mostly targeted for students and mostly about identity theft, scholarships scam, selling useless product, fake loan, porn, junk e-books and etc. So, students must give a good care about their online activities . Here are few tips to help you identify electronic spam:
- First, before you open an email you must find out who is the email sender, a friend or unknown the sender. If you think they are electronic spam click tab spam and deleted!
- Second, don’t click any file attachment or a link in the message. Attachments are usually corrupted software that carries viruses, spyware and other malware. And the link mostly harmful link which directed you into porn, web-hack and others harmful – useless sites.
- Third, mostly electronic spam use title or headline their message is little bizzare or shocking. Chances are if either are like this then it is probably a dangerous email.
- Fourth, do not ever reply to the "unsubscribe" option in a spam. That only confirms your e-mail as "real" and gets your e-mail address sold to others. More spam for you.
- Last, do not click encrypted link, mostly they hide original link with this in order to you can’t find out where are the link exactly will send you.
If you wanna completed your information about this especially you are students concern with spam controlling , you can read this book :
Product Description
Author John Zdziarski for a look inside the brilliant minds that have conceived clever new ways to fight spam in all its nefarious forms. This landmark title describes, in-depth, how statistical filtering is being used by next-generation spam filters to identify and filter unwanted messages, how spam filtering works and how language classification and machine learning combine to produce remarkably accurate spam filters.After reading Ending Spam, you’ll have a complete understanding of the mathematical approaches used by today’s spam filters as well as decoding, tokenization, various algorithms (including Bayesian analysis and Markovian discrimination) and the benefits of using open-source solutions to end spam. Zdziarski interviewed creators of many of the best spam filters and has included their insights in this revealing examination of the anti-spam crusade.
If you’re a programmer designing a new spam filter, a network admin implementing a spam-filtering solution, or just someone who’s curious about how spam filters work and the tactics spammers use to evade them, Ending Spam will serve as an informative analysis of the war against spammers.
