Your online reputation is everything. To successfully run an online business, you must have a website. Just as your reputation is to your personal life, so is your online reputation to your domain. Protecting and monitoring your domain’s online reputation is the job of Internet Reputation Systems.
In the past, Internet Reputation Management has determined domain reputation by observing a domain’s activites and content after they occur. The spam is already in the email before it gets detected. The porn piece on straying spouses is already online and distributed. But what if a tendency toward hosting scam domains, toward exhibiting those behaviors could be detected before it occurs?
A New Registration-Time Internet Reputation Management System
Welcome Predator to Internet Reputation Management: A New Registration-Time Management System. Predator was developed primarily at Princeton University’s by a professor in the Computer Science program. The goal of Predator is to sniff out malicious domains before they ever get registered.
The current system in use by Domain Naming Systems (DNS) is to black list a domain once it exhibits behavior of forwarding visitors to sites containing malware, scam, spamming or any other type of fraud. Or the domain may seem to exhibit those characteristics. Either way, the system is post-active. That is, the domain gets black listed only after it begins the fraudulent behavior.
The black listing system falls short because about 80,000 new domains are registered in the .com domain-name world every day! And in any single five-minute period as many as 1,800 domain registrations can take place! Those are staggering numbers! And that’s just for .com domains!
With that many domain registrations going on, the resources required are overwhelming. Even malicious activity, as it is occurring, can go unnoticed simply because:
- Fraud detection can’t be everywhere at once.
- As mentioned above, detection of fraud and malicious activity takes place post-registration.
- Even after detection, the fraudsters merely abandon the offending domain and register new domains in order to continue with their scam activites.
Where Does Predator Fit Into Internet Reputation Management?
Predator stands for Proactive Recognition and Elimination of Domain Abuse At Time-Of-Registration. It works on the principle of behavioral habits. In other words, it assumes that certain users aiming at buying and registering scam websites are going to exhibit certain behaviors whenever they attempt to register their newly purchased scam-sites.
The main assumptions of that behavior are:
- Buying many domains at one time. Scammers require that large numbers of inexpensive domains be bought at once.
- Buying domains in bulk. Purchasing domains in bulk makes it easy for scammers to change or abandon their websites whenever they get flagged as a spammer or scammer.
- Registration of many domains at one time with only a one-letter variation, such as adding the letter “s” to the word “home,” or by swapping locations of two letters or a small group of letters.
- The key operative words here are: Get it done quickly!
I only listed three behaviors. The development of Predator involved the use of 22 featured behaviors which were incorporated into an algorithm. Of those 22 behaviors, 16 had never been monitored for use in predicting fraudulent domain usage! To keep the development and subsequent testing “honest,” the development made use of five months of historical logs for second-level domain registrations in the .com and .net domains.
Development Of The Registration-Time Internet Reputation Management System
Development of the registration-time internet reputation management system took place at Princeton University where they monitored those 80,000 suspected malicious domain registrations in the .com world daily. Guess what? The success rate for identifying the new domains as having future malicious content was 70%! The availability of those domains monitored was whittled down to 3%! Those are pretty good number for success!
Imitation, The Sincerest Form of Flattery
I’m not sure who developed what first, the chicken or the egg, but there is a company based in Melbourne, Australia named GBG | DecTech that employs a very similar system in their fraud and money laundering detection products that are in active use in the Pacific-rim. They also have presences in Mexico and western Europe.
GBG | DecTech’s product, Instinct, aims toward the application process and uses behavioral analysis to predict the probability of fraud in its credit application process. It uses a combination of past history, fraud scoring, behavioral rules and known criminal activity to determine the reputation of the applicant.
Its Predator product – identical name coincidence? – is aimed at predicting the possibility of transaction fraud and money-laundering. It uses an algorithm that matches the Instinct product to make that prediction.
The Future of Registration-Time Internet Reputation Management
Predator has proven to be effective in predicting fraudulent behavior in domains at registration-time. Still, the new Predator system is not used by all domain registrars! To be effective it needs to be used by more registrars. Or at least bring it into play and let it complement existing data when making decisions regarding suspected domain registration!
My Number One Recommendation
Whether you are wanting to start an online business or you are searching for the perfect hosting service, I can help you with both! At Wealthy Affiliate, online reputation is not an issue because Wealthy Affiliate lives and breaths in a non-SCAM environment! In fact, we do everything we can to expose scam and pass along helpful tips on avoiding scams.
Got something to say about this post? Do you agree? Disagree? Are you aware of any other Proactive Reputation Management Systems like this? If so, tell me about them in the Comments section below. I’d really like to hear from you, even if it’s just to chat!
And as always, if you need any help or need questions answered, feel free to contact me at my Wealthy Affiliate profile.
Until next time, I am
Back To The Top