I've read in Wikipedia that one of the ways to obtain geolocation information for a given IP is done using DNSBL. The following link is: http://en.wikipedia.org/wiki/Geolocation_software#Data_sources
Could someone explain me how this is done? And in general, what is DNSBL rather than a banning list?
DNSBL is a blacklist/database based on dns. DNS is just your api to get a specific result. Others could be HTTP or a simple local file.
IP needs routing and thus the physical machines doing that are placed in certain locations. Knowing that makes it possible to collect data where the routing points are and thus get to closest location of a certain IP address. (Knowing that there are 5 big co
http://en.wikipedia.org/wiki/Geo_targeting
http://en.wikipedia.org/wiki/LOC_record
http://en.wikipedia.org/wiki/Regional_Internet_registry
Related
In my database, I'm looking for a primary key to save settings for a Wi-Fi network. Most people point to SSID+BSSID, but the problem with that is networks with multiple access points. After further investigation, the best solution I've found so far is having multiple database entries with SSID+BSSID linked together if they represent the same network.
Now the question becomes, is it possible to retrieve a list of all access points while you are connected to one of them ? Either that or a simpler list of all BSSID associated with the network you are connected to.
Either Swift or Objective-C is perfectly fine.
I couldn't find a way to retrieve all access points of a network in iOS.
For anyone curious, I went with storing SSID+BSSID as primary key and public IP as another field.
If the entry doesn't exist, I add it and check for other entries with the same IP and link them together.
If the entry does exist, I check if the IP hasn't changed since last time, since public IP can be dynamic. If it has, I update all entries with the old IP to the new IP.
It's still not a perfect solution. It doesn't cover the case where you go to a new access point of a network and the public IP for that network has changed, although it does fix itself to some extent if you go back to the first access point. Also, in general, places that have multiple access points also tend to have static IPs, so this case may be very situational.
I have a Gatling load test that does a huge call to a webservice, and I can get response time information nicely, the problem is that all calls are done as a single user, thus cannot see the amount of concurrent users from Jennifer5 monitoring tool. I've searched but couldn't find a way to make multiple unique IP users to call this webservice, thus showing me the amount of concurrent users in the monitoring tool, however approximate that value would be.
I've found this page but this does not work at all, what should I do? I do not wish to switch to JMeter now, even though I think it does have this capability
As per the forum you are referring to
Note that, of course, you won't be able to do IP spoofing, but only use valid IP aliases.
So given your Scala code is correct you must have all the simulated IP addresses present in your operating system. Theres is a possibility to have more than one IP address on a physical network interface via IP aliasing, refer to your operating system documentation in order to learn how set additional addresses up. You may also find Using IP Spoofing to Simulate Requests from Different IP Addresses with JMeter guide interesting
I've searched around a while and all of the IP --> Hostname things actually only end up giving an ISP. Is there something that goes beyond that? I'm only finding pay services that go further and not something that I can just tap a nice API and programmatically do it.
http://ipinfo.io/ just ends up showing ISP for many of what I've sampled. I saw that guy posts here fairly often.
whoisvisiting.com runs about $99/mnth for what my company site does but in that range I'd rather code something. I'm using the free trial right now and have the IP's logging to analytics so I'm looking at what it returns, what IIS returns as the hostname and what a couple sources like ipinfo.io show and whoisvisiting somehow actually shows what I'm looking for.
There's no way to do so. There's no central registry for which company has which address ranges. In fact, most companies will just be identifiable via their ISP.
Your paid services might be scams, by the way, or just work on very few select companies and universities that actually act as autonomous entities in the IP sense.
It is unlikely to differentiate between ISP or company IP address. Some geolocation providers will use range size or level of allocation to name ISP or business. However, this approach is not always accurate.
I've got an old connection log to a website which contains the IP addresses, the user agent string and the timestamp.
I want to know how many of them used 3G to access a website as I suspect there is a latency issue.
Now I know that I can use some code to have this info directly from the user.
But I still want to process this old log using only IP addresses even if it is only for one ISP.
I thought I could do that by finding a list of the subnets used for 3g.
Do you think it can be done?
Otherwise, what do you suggest?
Hope you can help.
Cheers,
One approach could be to lookup every IP using "whois" services, if the ISP listed is a phone carrier only, you can be certain the connection was made by a mobile connection.
This is not a total solution, but it might give you enough information.
Now, to find a service which will allow you to make all the requests required, might be another matter.
I'm setting up a iPhone tracking system for my friends, so they can submit their location to my website by their iPhone, anywhere, anytime - by WiFi or cellular data.
The website will use Google Maps for their coordination's so that my other friends can track where they are, however, it is the accuracy of the IP to coordinates to Google Maps is what I'm concerned about, exactly how accurate is it to use Google Maps that would track down the locations by an IP address?
I was thinking about 95%, but this was tested in a village which was quite fairly accurate, but what happens if it was in a city? Would this cause unaccurate locations?
Any kind help appreciated.
IP geolocation is really hit-or-miss, depending on both how the user's ISP assigns IPs and on the IP geolocation database you're using. For instance, I made a simple PHP script, IP2FireEagle, which looks up your IP. I found that the database kept placing me 10+ km to the west of where I really was. Updating my entry in Host IP wasn't the greatest, as it soon got reverted, presumably by someone also occasionally assigned that IP by my ISP! That being said, I found that Clarke has very accurate coordinates (not that this it's using IP geolocation per se but rather Skyhook's API and their WiFi geolocation database).
If it's a website for your friends and you know they have iPhones, I would suggest using its browser's support for navigator.geolocation.getCurrentPosition(). That is, get the location via Javascript and submit it to your server via an AJAX call. Even better since you want to use Google Maps, they give you a short tutorial on how get your friends' locations and then update a map.
Excerpt From:
http://www.clickz.com/822881
IP targeting has been around since the early days of ad serving. It's not very hard to write code that will strip the IP address from a request, compare it to a database, and deliver an ad accordingly. The true difficulty, as we shall see, is building and maintaining an IP database.
One of the first applications of information in an IP database was targeting to specific geographic regions. Most commercial ad management systems have IP databases that can make geographic targeting possible. However, there are a couple weaknesses in this method. The first (and biggest) problem is that, for various reasons, not all IPs can be mapped to an accurate location.
Take all the IPs associated with AOL users, for instance. Anybody who has seen a WebTrends report knows that all AOL users appear to be coming from somewhere in Virginia. This is caused by AOL's use of proxy servers to handle their web requests.
In the interest of saving space, we won't get into the reasons why AOL makes use of proxy servers. The important thing is that AOL does use them, and as a result, all its users appear to be accessing the web from Virginia. Thus, it is impossible to attach meaningful geographic location data to an AOL IP, and those IPs must be discarded from any database that wants to maintain a reasonable degree of accuracy.
Other ISPs and networks may use a method known as dynamic IP allocation for its users. In other words, a user might have a different IP address every time he visits the Internet. You can see how this might affect the accuracy of a database.
But the real difficulty in discerning geography from an IP address has to do with the level of specificity that a media planner might expect from this targeting method. The first few geo-targeted campaigns that I put together early in my career had to be accurate to the ZIP code level. This level of specificity is not practical via IP targeting.