International Mobile Equipment Identity Number Research Articles

Forged text detection in video, scene, and document images

Rapid advances in artificial intelligence have made it possible to produce forgeries good enough to fool an average user. As a result, there is growing interest in developing robust methods to counter such forgeries. This study presents a new Fourier spectrum-based method for detecting forged text in video images. The authors' premise is that brightness distribution and the spectrum shape exhibit irregular patterns (inconsistencies) for forged text, while appearing more regular for original text. The method divides the spectrum of an input image into sectors and tracks to highlight these effects. Specifically, positive and negative coefficients for sectors and tracks are extracted to quantify the brightness distribution. Variations in the shape of the spectrum are analysed by determining the angular relationship between the principal axes and the sectors/tracks of the spectrum. Next, it combines these two features to detect forged text in the images of IMEI (International Mobile Equipment Identity) numbers and document. For evaluation, the following datasets are used: own video dataset and standard datasets, namely, IMEI number, ICPR 2018 Fraud Document Contest, and a natural scene text dataset. Experimental results show that the proposed method outperforms existing methods in terms of average classification rate and F-score.

A Review of User Authentication Model for Online Banking System based on Mobile IMEI Number

The traditional banking system, such as transactions over the counter using bank book is enhanced by adding the elements of electronic banking, where nowadays all transaction can be done over the network, because of globalization and the advancement of information and communication technology. However, significant threats to this technology also come in parallel, such as from banking frauds. This is why building trust among banking users by providing security mechanisms is very important. In the electronic banking, security mechanisms mainly focus on proving a secure environment for the online transaction, especially user authentication. Many researchers have been proposed various models for the online user access authentication for the banking industry. Most of the researches are based on traditional the form of username and password, but with the varying mechanism of password forms. For example, password in arbitrary value, password in arbitrary value through secured channel, as well as biometric like fingerprint recognition, voice recognition, or retina recognition. In this paper we reviewed the current existing user access for online banking based on mobile phone, the functions of the SIM card, the characteristics mobile of the SIM card are described. Cloning, a threat to the SIM card is also described. Findings show that all the security model for online user access contains password in the form of value, biometric, or PIN. Thus, none of the existing user access proposed the idea of the user access based on International Mobile Equipment Identity (IMEI) number to strength the security of the user access. The IMEI is a 15- or 17-digit code that uniquely identifies mobile phone sets.

Smart Mobile Identity Detection from Captured Images

Most of the cybercrime are originated from abuse of mobile phones. If there is a possibility to identify the persons who abuse mobile phones, then the task of Cybercrime, Information forensic and Defense department is getting easier. Here the authors proposed a technique to identify the International Mobile Equipment Identity (IMEI) number, time stamp andgeographical location of the smartphone/mobile. Whenever the mobile camera is used the identity information such as IMEI number, timestamp and geolocation are embedded in the captured image automatically. For that, a mobile application was developed and deployed as a mobile service. By decoding the image, the embedded identity information of that mobile phone is revealed. Using this information it is easy to identify the person/s.

Mobile Phone Reprogramming: Its Extent and Prevention

Reprogramming involves hacking the software of a mobile phone to change its identity. A handset's international mobile equipment identity number (equivalent to a car's vehicle identification number) is altered to enable illegal re-sale, thus facilitating theft and robbery of mobiles. The extent of the problem has not been adequately measured and so this study presents two approaches. The first was an on-street survey of owners that examined their mobile phones. The second was an examination of mobile phones in lost property offices. A conservative estimate is that 5% of the sample of mobiles were stolen or reprogrammed. Studies with larger representative samples are needed but, if representative, this suggests that millions of stolen/reprogrammed mobiles are in circulation in the UK. Possibilities for policing and prevention are discussed.