Where is ip address located

Using the GeoIP2 .NET API

A VPN can help with this as well.

Dynamic IP addresses are not ideal for all situations. They don't work well for internet-facing services such as the web or email. Unlikely to work well for hosted services : If you plan to host a website, email server, or so on, using a dynamic IP address may be troublesome. DNS doesn't work well with dynamic IP addresses since the address is always changing.

There are Dynamic DNS services that take care of this problem; however, they add expense and complexity. This can be a serious downside. May limit remote access : Depending on your remote access software, your program may have trouble connecting if you use a dynamic IP address. Potentially more downtime : While it doesn't happen often, sometimes your ISP is unable to assign you a dynamic IP address.

This can interrupt your internet connection. Less accurate geolocation : A dynamic IP address can make your geo-location services fail because you can keep a dynamic address that no longer reflects your real-world location. Typically, static IP addresses are best for businesses, which host their own websites and internet services. Dynamic IP addresses are usually fine for most consumers. They are cheaper and typically pose a bit less of a security risk.

Check IP Address Location

Now that you understand the differences between static IP and dynamic IP, you may realize that it never mattered before which kind you are using. If you get your internet service through an ISP or cable company, in most cases they assign you a dynamic IP address. Within your own network, by default your devices are assigned dynamic IP addresses. It is usually not much of a problem to switch to a static IP address.

You do this by going to your router's interface, finding the device for which you want to assign a static IP address, and then assigning it one usually by manually typing in a number. The details vary from router to router. On a network with an administrator, you need to have the system administrator do this for you. No matter whether your internet IP address is static or dynamic, your ISP -- and tech-savvy bad guys -- can tell approximately where you're located and what you're trying to do on the internet.

You may want to hide your IP address -- no matter what kind -- from snoopers. Vaughan-Nichols on September 23, Updated on October 31, United States English. Privacy policy Legal Modern Slavery Statement. We use cookies and similar technologies to recognize your repeat visits and preferences, to measure the effectiveness of campaigns, and improve our websites.

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What is an IP address? This article contains. Other articles from Privacy topic. What is a static IP address? What is a dynamic IP address? Want a Private Browser? Avast Foundation Avast Blog. We mention here if the paper describes "ground truth" authoritative mappings between IP addresses and geographic locations used to validate geolocation results. Probes gives an indication of the experimental setup probes, landmarks, targets used in a geolocation experiment where appropriate.

Click on a checkbox below to show that attribute for each paper in a separate column.

How do I determine the physical location of an IP address?

Enter text in the 'Filter' field to limit the listing. Below this table is a similar table of attributes of the data sets analyzed in this set of papers. The above IP geolocation bibliography references several active measurement infrastructures either because they are used directly in a geolocation experiment, or because datasets obtained with the infrastructure are analysed. These resources are listed here with references back to the papers.

GeoIP2 Databases

Current geolocation techniques can be broadly divided into two categories: database-driven or registry-based P and measurement-based. This categorization mirrors a similar division in the types of geographic information available for IP geolocation: qualitative data, and numerical quantitative data. Both have been present in geolocation efforts from the onset. The class of quantitative data includes the workhorse of measurement-based geolocation methods: delay measurements from probes to landmarks and targets.

A number of publications establish the relationship between Internet delay and geographic distance P , P , P , P in the presence of obfuscating factors like circuitous routing, buffering and other delays P , P , etc. Also included in this class is network topology information, typically derived from traceroute measurements. Topology information can be an integral part of a geolocation algorithm e.

Hop counts also derived from traceroutes are explored in a recent paper P as another quantitative measure of geographic distance. This probably also includes the various types of proprietary databases used in commercial geolocation products. All of these contain geographic information directly as in DNS LOC records, or indirectly by linking to an organization or AS number that, if correctly interpreted, provide clues about the geographic location of an IP address, or IP address block. From these early attempts a number of measurement-based algorithms have appeared in the academic literature.

The table below provides an overview of the accuracy achieved by the various techniques. In this list only the first three are database-driven; all others starting with GeoPing are measurement-based. GeoPing P , which uses similarities between "fingerprints" based on delay measurements from a set of probes for target and landmarks to select the location of the landmark with the most similar fingerprint as the target location, appears to be mostly of historical significance at this point as the first measurement-based geolocation method.

Constraint-based geolocation CBG; P , using deterministic geometric constraints derived from delay measurements to constrain the probable location of a target, has set the stage for future development, and is the most common "benchmark" used to compare more recent models against. Subsequent geolocation methods show an increasing sophistication in extracting geographic information, either by supplementing delay measurements with additional data, or by more complex algorithms.

How do I find my IP address - How to find my IP address fast & free

Topology-based geolocation TBG; P introduces topology measurements to simultaneously geolocate intermediate routers and targets. Further refinements include an improved analysis of delay measurements separating the distance-sensitive propagation delays from other processing delays; P , P , incorporating database-driven approaches to improve geolocation accuracy P , and integrating hop counts into the geolocation algorithm P Algorithms also are evolving.

The most recent models favor probabilistic approaches, which seem to be a better match to the essentially statistical nature of the relation between geographic distance and delay measurements. GeoWeight P marks a transition by combining deterministic constraints, similar to CBG, with probability assignments; P , P , P and P describe delay measurements using probability density functions, and use various statistical methods to build a geolocation algorithm.

Few detailed descriptions of database-driven techniques exist in the literature. Not surprisingly, published literature contains little concrete information about algorithms employed in commercial geolocation products.

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Whether the qualitative input data are web pages, WHOIS registry records, or DNS names a database-driven geolocation algorithm tends to be a collage of various heuristic arguments, approximations and intelligent guesswork. The table below compiles numbers from geolocation experiments described in the above publications for measurement-based techniques.

The column headers indicate a range of median errors in geolocation distance reported in the papers; the values in the columns are the number of experiments that report median errors in the indicated range. Even though direct comparison of these numbers is tricky due to the wide variations in experiment characteristics different types of targets, different set of landmarks, etc. To put this in context: km can be roughly viewed as country granularity; 50 km approaches city or zip code granularity.

A direct comparison between measurement-based and database-driven approaches, or even just between measurement-based algorithms is tricky at best. A systematic comparison would require the availability of a reliable "ground truth" database of IP addresses at known geographic locations. This is difficult to find. However, in practice, the pool of potential test targets at known locations is limited: most recent published experiments select their ground truth from hosts in measurement infrastructures like PlanetLab in North America or Europe.

So, even though hard to quantify, the ground truth in some published experiments probably is similar. In some papers the same ground truth is used to compare different algorithms typically CBG is used as a benchmark, which explains the high number of entries for CBG in the above table , providing some insight in comparative performance. Obvious questions remain though. How representative are results based on a limited number of PlanetLab targets for the Internet as a whole?

How much does the accuracy for a method vary from well-connected hosts routers to a heterogenous collection of end hosts? Looking at the above table, the median errors for CBG experiments vary from better than 50 km to more than km one order of magnitude presumably reflecting a wide variation in experiment characteristics.

  • What is an IP address?.
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  • In an average sense the performance of the best geolocation techniques can be quantified reasonably well: the best measurement-based methods have median errors of at most a few hundred km well within country granularity , with the best results maybe approaching 50 km city or zip level. Similarly database-driven techniques also appear to do quite well at the country level, but start running out of steam at the city level. Whether database-driven or measurement-based, all techniques suffer from what might be called an outlier syndrome.

    All techniques are plagued by outliers with location errors well exceeding km or country level.

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