IMEI Number Research Articles

Sniffer for Detecting Lost Mobiles

The main goal of this Endeavour is to use sniffer technology to track down a misplaced cell phone. Regularly thousands of adaptable get misplaced. Security for mobile devices is necessary since portable companies are now building mobile devices with IMEI to locate the mobile device, but this system is not very effective. Hence, sniffer technology is applied. This device, which combines a Sniffer Base Station, an Unidirectional Antenna, and Tracking Software, can be referred to as a Base Station. To maintain the recurrence, the Sniffer Base Station is used. Recurrence is a VHF extension at 900 MHzTo exchange the flag relating to the desired recurrence for receiving and transmitting signals, unidirectional radio wire is employed. The most important component of cell phone monitoring is the programming. Because of the way this programming is laid out, the IMEI of the device is read from its Memory. It checks for a signal from a device that responds to a flag sent by sniffer technology. The IMEI number, which stands for “International Mobile Station Equipment Identity,” identifies a device that uses GSM technology.

A New Method for Detecting Altered Text in Document Images

As more and more office documents are captured, stored, and shared in digital format, and as image editing software are becoming increasingly more powerful, there is a growing concern about document authenticity. To prevent illicit activities, this paper presents a new method for detecting altered text in document images. The proposed method explores the relationship between positive and negative coefficients of DCT to extract the effect of distortions caused by tampering by fusing reconstructed images of respective positive and negative coefficients, which results in Positive-Negative DCT coefficients Fusion (PNDF). To take advantage of spatial information, we propose to fuse R, G, and B color channels of input images, which results in RGBF (RGB Fusion). Next, the same fusion operation is used for fusing PNDF and RGBF, which results in a fused image for the original input one. We compute a histogram to extract features from the fused image, which results in a feature vector. The feature vector is then fed to a deep neural network for classifying altered text images. The proposed method is tested on our own dataset and the standard datasets from the ICPR 2018 Fraud Contest, Altered Handwriting (AH), and faked IMEI number images. The results show that the proposed method is effective and the proposed method outperforms the existing methods irrespective of image type.

FORENSIC ANALYSIS OF DUPLICATE IMEI’S-A CASE STUDY

Mobile forensics is a sub-set of digital forensics which includes the investigation and acquisition of artifacts of mobile phones. With the advancement of technology threats to mobile phones made forensic science a challenging Endeavour. Number of mobile users is increasing worldwide and creates tremendous problems and challenges. As the technology is advancing the criminals are also getting advanced day by day. Investigation agencies come across various crimes committed through different modes, forgery of IMEI number(s) of mobile device being one of them. This paper presents a case study in which mobile phones of duplicate IMEI’s, hardware tools capable of duplicating IMEI along with other evidences have been received and examined in the laboratory.

Development of An Android Application for Viewing Covid-19 Containment Zones and Monitoring Violators Who are Trespassing into It Using Firebase and Geofencing.

The World Health Organization has declared the outbreak of the novel coronavirus, Covid-19 as pandemic across the world. With its alarming surge of affected cases throughout the world, lockdown, and awareness (social distancing, use of masks etc.) among people are found to be the only means for restricting the community transmission. In a densely populated country like India, it is very difficult to prevent the community transmission even during lockdown without social awareness and precautionary measures taken by the people. Recently, several containment zones had been identified throughout the country and divided into red, orange and green zones, respectively. The red zones indicate the infection hotspots, orange zones denote some infection and green zones indicate an area with no infection. This paper mainly focuses on development of an Android application which can inform people of the Covid-19 containment zones and prevent trespassing into these zones. This Android application updates the locations of the areas in a Google map which are identified to be the containment zones. The application also notifies the users if they have entered a containment zone and uploads the user’s IMEI number to the online database. To achieve all these functionalities, many tools, and APIs from Google like Firebase and Geofencing API are used in this application. Therefore, this application can be used as a tool for creating further social awareness about the arising need of precautionary measures to be taken by the people of India.

ANTI-THEFT APPLICATION FOR ANDROID SMARTPHONE

- Smart phones are multipurpose electronic device mainly used for communication. When the phone is missing to the owner or some theft occurs, it is usually a cumbersome process for the owner to go to police station or start searching for it. To search for the lost smartphone efficiently and reduce mental stress of being overconcerned towards it, a project has been initiated. This project aims at developing an android application that helps to track your phone through other smart phones belonging to a person who might be your acquaintance, neighbour or your family member. Each device has an option to either be a user or administrator or both. The administrator monitors its users who have registered through it’s id. At each interval of time users send signals to its administrator that they have not been stolen. But, once it is stolen as it is the nature of thief to change the sim card user transmits signal to admin and notifies with subsequent location and the new sim card IMEI number. To develop this application Android technology is used. Android studio and Java programming are used to code for the application. Whereas to contribute for the database to store location Firebase Realtime Database technology is used.

Ticket Collectionwith Destination Prediction in Bus Services in Urban Areas using Time Based Predictive Algorithm

In the new age of automation and machine assisted function of the human way of life people still tend to notice verification and checking of tickets in local land transport such as trains and buses to still be operated by man. This project is a proposal of a new platform and method to book these tickets of buses on a local level. This can lead to decrease in the overcrowding of buses, easy time management of commuters, and smooth functioning of the bus business. Initially the bank details of the passenger must be linked to the app.Machine learning predictive parsing algorithm in combination with data mining features enable the prediction of the passengers to and fro details on a daily and timely basis. Then a SMS alert for ticket payment proof is sent to the user. In admin side, they calculate amount details using this application. Per day amount details of specific route or bus can be calculated by accessing the database. There is also a provision where the IMEI numbers of the consumers is collected. Through GPS system the IMEI numbers of the mobiles inside the bus is checked with the IMEI numbers of those in the database. Ticket defaulters are identified if the IMEI numbers are not present in the database. The entire trail of the transit is on a non-paper sever.

Enhanced Mutual Authentication System in Mobile Cloud Environments

Security is one of the significant worries of all associations which utilizes online methods for interchanges particularly banks. Of this, customer side is most defenseless against hacking, as the framework can't be totally shut when use over web by a typical customer is to be permitted. Most frameworks utilize a static password– based verification strategy which is anything but difficult to hack. There are different other validation strategies existing like cards, biometric recognizable proof, and so on. These strategies give better security, however are not material to online customer correspondence as these techniques require extraordinary gadgets for their usage. One conceivable technique for applying an upgraded factor of verification for online access to the framework is a dynamic secret word. In this venture we can plan the validation framework in light of key age, confirmation age and OTP based framework. The keys are created progressively utilizing Mobile IMEI number and SIM card number. The OTP age utilizes the components that are novel to the client and is introduced on a PDA in Android stage and furthermore cloud server claimed by PHP server. An OTP is legitimate for a minutes time, after which, is pointless. The framework in this way gives better customer level security – a straightforward minimal effort strategy which shields framework from hacking strategies, for example, speculating assault, answer assault, stolen and verifier assault and adjustment assault.

Design of portable and sustainable user authentication system using intrinsic mobile phone biometric in smart city environment

Administrators and parents are always concerned about the student's attendance as the short attendances affects student's overall academic performance. The conventional method of taking attendance by calling names or signing on paper is very time consuming and prone to proxies. The latest smart phones with built-in finger print scanner can be used to mark the attendance. It can provide the accuracy equal to the biometrics based attendance system. The proposed system is an attempt to use biometric attendance using the built in biometric of smart phone. It can be used to efficiently take attendance for student in schools, colleges, and universities. It can also be used to take the attendance of the employees in working places. The system validates the authentication of the user by comparing the fingerprints of a user and comparing the geo location coordinates of the user with the coordinates of the class room stored in the master table. Its ability to uniquely identify each person based on their scanned finger prints make it more sustainable and portable. A key is assigned in a hexadecimal format by the smart devices and make the process of taking the attendance easier and that too in mass, faster and secure as compared to conventional method. Students or employees only need to register one time on the system and save the information such as the user name, finger prints key and IMEI number in the database. The proposed system may be used more conveniently in smart city environment where we can use different Internet of Things (IoTs) such as WiFi, Radio Frequency Identification (RFID), smart phone sensors for geo fencing and tracking.

PDA Theft Detection & Continous Tracking With User Profile Recording Using Android

Lots of Applications are developed to track a Smart phone but still it is not that comfort in finding the exactly. We have to manually report to the customer of the Mobile to block the IMEI Number of the Phone. Android Application is deployed with initial registration of Alternative Mobile number. If the phone is stolen, Original user will send SMS through a Normal phone or through an Application deployed in another Android phone to Track and verify the location of the theft Mobile. If the Thief changes the SIM card immediately Location details are sent to the alternative Phone number of the original User. Both the logic of tracking the Theft Phone with SIM Card & Theft Phone with changed SIM Card is tracked continuously. Thief Photo is captured by automatic Camera Initiation and Voice is recorded and uploaded in the server. Both the Location and Voice are sent as SMS Alert to the Alternative Mobile number of the Original User.

Towards Mining Latent Client Identifiers from Network Traffic

Abstract Websites extensively track users via identifiers that uniquely map to client machines or user accounts. Although such tracking has desirable properties like enabling personalization and website analytics, it also raises serious concerns about online user privacy, and can potentially enable illicit surveillance by adversaries who broadly monitor network traffic. In this work we seek to understand the possibilities of latent identifiers appearing in user traffic in forms beyond those already well-known and studied, such as browser and Flash cookies. We develop a methodology for processing large network traces to semi-automatically discover identifiers sent by clients that distinguish users/devices/browsers, such as usernames, cookies, custom user agents, and IMEI numbers. We address the challenges of scaling such discovery up to enterprise-sized data by devising multistage filtering and streaming algorithms. The resulting methodology reflects trade-offs between reducing the ultimate analysis burden and the risk of missing potential identifier strings. We analyze 15 days of data from a site with several hundred users and capture dozens of latent identifiers, primarily in HTTP request components, but also in non-HTTP protocols.

Artificial User Emulator to Detect Intelligent Malware on Android

Given that most emulator based analysis environment have many static and dynamic differences from a real device used by a user, such environments can be easily tricked by an intelligent malware which may prey upon specific details like IMEI number, button press, accelerometer, GPS coordinates etc. to know whether it is in an emulator thereafter it can act benignly and pass the test undetected. This, and other vulnerabilities have been recognized by this paper and to enhance the detection capability of dynamic analysis environments, we present a framework with a twofold objective, to emulate artificial user behavior and, to help unravel malware’s true behavior. Furthermore, our framework is divided into two major categories based on dynamic and static properties of a Smartphone. The framework is tested with an open-source sandbox environment and an existing emulator detection application.

Vehicle Security Tracker

Vehicle Security Tracker (VST Tracker) is a tracker system for the security of vehicle which helps us to enhance the security level of stopped and moving vehicle at any point of location and time to facilitate the safe and secure journey to the peoples of the country. We also are willing to supply emergency support to the peoples like Medical, Police, Maintenance and other necessary support. It is basically meant for the purpose of Emergency support in the lonely areas and highways and to find crimes and the criminal held on the road and highways as soon as possible which helps innocent peoples to save their life from the fake and unwanted cases and to find stolen or missing vehicle and criminal soon. VST Tracker is small and effective tracking device working with the help of GSM network with the mobile SIM Technology to track by Mobile number or SIM number or IMEI number but the major challenges is that NO single Mobile network cover the whole area of country, so that we can enable the roaming facilities of the SIM so that it can directly change over the other network quickly for better service. VST Tracker define the voice calling facilities to the user to connect data centre to communicate and ask for emergency support and compliant just by one click and within 10-15 sec. The Components of the VST Tracker is similar to the mobile phone like SIM Slot, Battery, Mobile Chipset, Mic and others but it not content keypad, camera, Speaker and many more. It is just develop for the purpose of tracking and calling only. VST Tracker is beneficial for both personal use as well as Transportation use to make pollution and Crime free and other illegal activities. It help to supply of goods and Product and services at right time and at right place It also help peoples to make up-to date of their vehicle papers and documents with low budget and safe, secure and easy environment to run their life and vehicle smoothly. Other benefit of VST Tracker is to track the stolen vehicle soon and to find out the right criminal from the crime as a Crime Case Solving Device and most important Secure Travel (FOR VIP) who need extra security to travel wherever in country.

An Effective and Feasible Traceback Scheme in Mobile Internet Environment

Around one billion people access the Internet using their mobile phones today, and many of the mobile phones are prone to be compromised by hackers due to their inherited vulnerability. It is critical to identify these compromised mobile phones to effectively eliminate cyber attacks. However, we see few research works in the field. In order to address this desperate situation, we design a practical traceback framework to identify active compromised mobiles in the mobile Internet environment in this letter. In the proposed framework, we creatively use the IMEI number of mobile hardware as unique marks for the traceback purpose. Two-layer traceback tables are designed to collect global attack information and identify local attacking bots, respectively. Our analysis and simulation demonstrate that the proposed traceback method is effective and feasible, and it can identify every possible attacking mobile in the current mobile Internet environment with single packet marking.

Privacy Preservation of Mobile Data using Matrix Transformation

leakage from mobile phones and LBS is increasing with the exponential growth of technology, resulting in an innate risk of privacy threats. To address this issue, a novel method to protect user privacy is proposed in this paper. The proposed algorithms, namely SSET and SIMET, provide efficient means to encrypt the SIM and IMEI numbers respectively, thus protecting user identity. The reverse procedure to retrieve the numbers is provided by the algorithms SSDT and SIMDT and illustrated with examples. The main objective of this work is to secure the privacy of mobile phone users by employing optimal cryptographic techniques.

Vehicle Tracking/Feedback System Using Gps Technology

Today almost everywhere car theft abounds and for this reason it is necessary to know at any time where ones vehicle is located and in what condition. This work aimed at designing a navigation/tracking system using a parallax GPS module, PIC16F873 microcontroller, PL-2303 USB microcontroller and MAX232 converter. Sony Ericsson T69 and a laptop with a visual basic programmed interface aids in giving output information for the tracking and navigation sub systems respectively. The GPS receiver interacts with the satellite in space and receives data i.e. location information in the form of radio waves. This information is sent to the USB microcontroller and the 8-bit microcontroller as raw NMEA 0183 string in TTL level. The 8-bit microcontroller stores the information in memory and when requested is sent through an RS-232 converter that converts the TTL message to RS level message that the GSM modem can understand. The GSM modem then sends the strings as a text to an IMEI number already programmed on the microcontroller. The location as at the time of transmission is shown on the graphic user interface where the message is keyed into.

Mobile Data Services using Open Protocols and Internet

The aim of this work is to develop such a methodology whose implementation help the companies, institutions etc to easily communicate with another person without any cost. This gives a new dimension to communication. Our system is competent without GPRS or Telecom service providers. Free of cost communication with the help of this system along with some enhanced security features which will provide a hassle free and safe communication. Person often wants to share mobile data like images, videos, etc. to our distant friends. This technology removes the overhead of copying data to PC/Laptop then sends over the internet and reverse process on the other hand. Whether the person is in car, train or anywhere else and he/she has Bluetooth enabled mobile phone and Laptop then the person can transfer any urgent data to any person who also fulfills such requirements. To accomplish our task we have successfully implemented the communication, using messages and voice mails, and media/data file transfer. Our design is based on request-reply architecture. We have also implemented an access control mechanism that allows user to receive services from everyone except for the members of the blacklist. This is necessary as the service involves virtually no cost. To authenticate the sender currently we are using a PIN number because to detect the IMEI number of the cell phone our mobile application must be digitally signed by the mobile vendor.

Will Holey handsets get caught 'App napping'?

Android handset market took a battering in March when an unknown group of hackers took around 50 Android apps, infected them with the DroidDream malware, and then uploaded them online for handset users to download. DroidDream malware is capable of rooting the smartphone, harvesting data, and/or opening a backdoor on the device. The malware also attempts to record IMEI and IMSI numbers, which are used to identify mobile phones, and upload the data to an external website. The Information Security Forum (ISF) suggests that around 260,000 Android handset users were affected by the DroidDream infection. The article discusses how alert people are to the security dangers of the smartphone app.