3.5.1 Syntactic Matching Standard syntactic matching methods used to compare the string, numeric and character type attributes of the two identities. Given Twitter identity and a candidate identity returned from Profile Search, Content Search, Network Search and Self-Mention Search, we used distance metric to compare their username and name attributes. Closer the match, smaller is the value of distance metric. 3.5.2 Image Matching There have been instances where users put same profile image on their multiple online identities. It is therefore easier to infer that identities with closest profile image match, belong to the same user. We used standard RGB-histogram image matching algorithm, to generate a score between profile image of the …show more content…
Finding Nemo takes a Twitter identity as input and run profile, content, self-mention and network based identity search methods. Candidate identities returned by each method are collected. If there exists an identity returned by more than one search method or if an identity is exposed via URL attribute of the Twitter identity (self-identification), the identity is returned as the correct Facebook identity. The reason for such a decision is that if an identity herself declares her on other social network via URL attribute, any matching methods are not necessary. Further, if a candidate identity is returned by more than one method, the returned candidate identity is similar to the queried Twitter identity, in more than one aspect, thereby strengthening the fact that the candidate identity is correct Facebook identity of the queried Twitter identity. In all other cases, candidate identities of multiple search methods are collated together and are ranked using identity matching methods syntactic (username, name), image (profile image). The ranked candidate identities are then presented to a human verifier to locate the correct Facebook identity out of the ranked candidate identity set, if exists. Since we observed that the manual verifiers have to bear less cognitive load in order to identify a match, when the ranked candidate identities are presented …show more content…
For the purpose of this research, we have used two separate datasets: a training dataset and a testing dataset. Both datasets have been obtained by the method of crawling real user profiles from popular social networking websites Facebook and twitter. Both datasets have been manually checked for overlapping users before the evaluation took place. For the purpose of our research, which is concerned with user identification based on profile comparisons, we have only considered overlapping users with an available profile to be potentially identifiable by the algorithm. Overlapping users who did not share any profile information were not considered as
During the identification phase, the user puts the finger on the same sensor, generating a new fingerprint image or template called query print. Minutiae points are carried out from the query print, and the matcher module compares the set of query minutia with the stored minutia templates or image in the enrollment database to find the number of similar minutia points. Because of variations present in finger placement and pressure applied to the sensor, the minutia points take out from the template and query fingerprints must be lined up, or submitted before matching. After line up the fingerprints, the matcher decides the number of pairs of matching minutiae-two minutiae points that have similar location and directions. The system decides the user's identity by comparing the match score to a
The goal of the Regional Booking Photo Comparison System is to use mug shot photographs from Snohomish County, Pierce County, and King County and use facial recognition technology to assist law enforcement agencies in generating investigative leads. Currently, the RBPCS stores approximately 620,000 mug shot photographs shared between the partnering jails. These mug photographs make up the database. The RBPCS database is made accessible to partnering agencies through advanced workstations that are connected to the core system through the Washington intergovernmental network. In 2015, the Positive ID+ software was purchased from Dynamic Imaging with UASI federal grant funds and was located at the South Sound 911 (SS911) center in Pierce
QR Code has been introduced quite a long time ago. Its lightweight properties have propelled it to become a worldwide phenomenon among online stores. Its complicated matrix is an innovative method to hide data among the grey area. This grey area can be used to transfer biometrics across network using
So many users of the internet blindly browse and post on these sites without any thought to the online identity they are creating for themselves. Shares, tweets, hashtags, likes, and comments all combine to make up an amalgamation of marketable information. In November of 2016, an average of six thousand tweets were made per second, and ninety-five million Instagram posts were made per day (Sayce; Parker). Facebook “has become the largest database of personal information ever collected,” says Richard, and Facebook takes advantage of this. With almost two billion users, Facebook has no shortage of information to gather (Sparks). They do this mainly for targeted advertising. There is no small profit to be made in this. In 2011 Lori Andrews wrote, “Facebook made $3.2 billion in advertising revenue last year, 85% of it's total revenue.” However, Facebook and other internet corporations also relay data gathered on users to the
Twitter one of the most popular social networking sites. Both personal and corporate users enjoy twittering to engage in information-sharing. It has social as well as commercial utility. However, as is also the case with Facebook, Twitter is still striving to make its business model profitable as well as generate user traffic. Advertisers and marketers are interested in Twitter's ability to provide data about potential customers as well as its ability to expose users to advertising. However, there have been a number of concerns regarding the monetization of Twitter. Twitter's potential for 'data-mining' is alarming to many users. "By virtue of having a large number of users, Twitter also possessed such a database of personal information, as well as a large archive of personal messages" (Privacy issues and monetizing Twitter, 2011, Richard Ivey School of Business: 6).
Numerous individuals use social media to upload their favorite moments, judgments, or just a night out with friends, but a lot of people do so without truly understanding the problem behind showing too much information online. For instance, everyone has the option to enter in all kinds of information on your profile like name, birth date, and place of living, but according to Mike Hard castle’s article, he wrote that “you should not list your birth date or phone number” (Hardcastle). Social media is an impressive tool that our generation uses each and every day, but like everything else, it comes with a price. The risk of sharing too much information leads to attracting attention from certain online predators. In Mike Hardcastle’s essay, he certainly lists many cons on why someone should not list every detail about themselves online. I indeed agree with what he says in the article because it is true that “predators will always choose a readily available target over one that takes work to find” (Hardcastle).
The digital image of the face of a person can be matched against a record of other images by using face recognition software. In case that some of the images in the database go with the digitized image, the owner is reported about it by the system. Automatic face recognition has been studied and investigated extensively since 1990s and its usage is turning out to be no-nonsense in the present times. Although a number of automatic face recognition applications are relatively agreeable and harmless (access regulation to armaments, currency, illegal proof, nuclear equipment/supplies etc), there are still several dangers of face recognition systems that include violation of privacy and civil liberties, unrestrained exploitation, identity theft, illegal use of database, free access to personal data on social media etc. (Agre, 2001).
In March 2012 Google Inc. started combining nearly all the information it has on its users. That is, it can combine all the information from a user’s activity
However, for some teenagers, even adults users, identity management poses a threat for their privacy. In a series of case study by Mary and Aaron (2010) reveals that the majority of SNS users(77%) have altered their privacy setting. At the mean time, it is also the case that only 6% users have bad experiences owing to their privacy exposure, which causes them feel embarrassed. Moreover, there are 12% social networking users feeling regret the content that they have posted and shared. As a result of analyzing case study, there are increasing number of people realized the significance of identity management on social networking sites. In the view of the
It is quite cheap and fairly easy to accumulate thorough information about people because of the advances in computer technology. This can prove to be beneficial for law enforcement looking to track down criminals; prevention of fraud within banks, and consumers becoming more educated about new products and services. However, this also creates opportunity for misuse of such information.
Theorist working on a comparison of the biometric template that is created and temporarily stored template with a number of people. And then takes the decision-maker in mind the similarity measures produced by matcher.
Internet background checks are a wave of the future, and it is here now. “Internet background checks” refers to the process were employers gather information from the internet about a person-in this case, a job or college applicant, to determine as much as possible of the applicant before they hire them (Rainey; Reicher). With a click of a button, one can type in someone’s name into google, an internet search engine, and find information about them in a second. Social media networks such as Facebook and Twitter allow one to keep in touch with friends and allow you to meet new people. In which, many people spend hours each day updating their profiles, messaging their friends and clicking through photo albums. However, these social media networks are also means for employers and college admissions to see into an applicant’s real life. To see what type of message they are sending, and validating their applicant’s resumes. To some people, this may be unethical. Because of this, internet background checks are a controversial topic due to some people debating that internet background checks are an invasion of privacy. However, with increasing competition for job titles and school admissions, employers and college admissions need a way to insure they are making the right choice when choosing an applicant. Admissions and employers want an applicant that is a good fit for the culture based on the image
Social networking sites are a dangerously sharp double-edged sword. Professional sites such as LinkedIn can showcase one’s talents and provide an advantage within a large applicant pool while personal sites, such as Facebook, Twitter, myspace, even YouTube, if used irresponsibly, can make public many aspects of an individual’s private life which can reflect negatively, when viewed by others. The article “Didn’t get that new job? You need a better Facebook score” (Garling) highlights one of the many ways prospective employers can quantify someone based on their social media presence. The article describes a process whereby hiring managers rely on a consulting firm of sorts. This firm provides a score for each applicant based on their social media presence.
Understanding and utilizing big data, such as the kind gathered en masse from social media and internet browsing searches can be a useful tool to combat terrorism domestically and abroad. It allows for connecting the dots of an individual’s online footprint to potentially identify terrorists before they strike.
In today’s world, we have a huge database that we all refer to as the internet. So many things can be found on the internet such as how to walk your dog or how to fix your broken TV. There are several networks on the internet that many teenagers use to communicate with each other or to simply talk about their day. These networks are known as social media networks, like Twitter, Facebook, Instagram, etc. On many of these social media networks, there are many issues involving the privacy of their users. Occasionally, users may find that someone has hacked their account and is posting false information or that somebody is trying to “catfish” them. The term catfish can be defined as a person who uses someone else’s identity, or creates their