Android projects

Abstract

This project is used to manage wastage foods in a useful way. Every day the people are wasting lots of foods. So we have to reduce that food wastage problem through online. If anyone has wastage foods they are entering their food quantity details and their address in that application and then the admin maintain the details of food donator. The donator can create the account and whenever they are having wastage food they can login and give request to the admin. And the admin also maintain the buyer (orphanage, poor people,..) details too. After the admin view the donator request and give the alert message like time to come and collect the food. And the admin collect foods from donator through their nearby agent then provide to nearest orphanages or poor people. After receiving the food from the agent by admin and give alert message to that donator. If the donator needs any detail about the orphanage with helping thought they can give request to the admin and collect the orphanage details. This project is food redistribution is an enormously successful social innovation that tackles food waste and food poverty. The user’s details are maintained confidential because it maintains a separate account for each user.

Abstract

The increasing complexity of smartphone applications and services yields high battery consumption, while the growth of battery capacity in smartphones is not keeping up with these increasing power demands. To overcome this problem, researchers introduced the Mobile Cloud Computing (MCC) research area. In this paper, we advance on previous ideas, proposing and implementing a Near Field Communication (NFC)-based computation offloading framework. This research is motivated by the advantages of NFC’s short distance communication, its better security, and its low battery consumption characteristics. We design a new NFC communication protocol that overcomes the limitations of the default protocol, such as the need for constant user interaction, the one–way communication restraint, and the limit on low data size transfer. Then, on top of the proposed solution, we implement a framework that can be used for offloading mobile applications to other mobile devices or to cloudlets equipped with NFC readers. We present experimental results of the energy consumption and the time duration of computationally and data intensive representative applications, such as (i) RSA key generation and encryption, (ii) gaming/puzzles, (iii) face detection, (iv) media download from the Internet, and (v) data transferring between the mobile and the cloudlet. We show that when the helper device is more powerful than the device offloading the computations, the execution time of the tasks is reduced. Finally, we show that devices that offload application parts reduce their energy consumption considerably, thanks to the low–power NFC interface and the benefits of offloading.

Abstract:

The main objective of the project is that it helps people avoid standing in queues for long periods of time. This time which is wasted in waiting can be utilized to do more productive things. More over it also looks into the fact that during a pandemic like this COVID-19, people are urged to maintain a specific amount of social distance. By using this Android App people will not only avoid coming in contact with one another but they will also save a lot of time. This project works on the basis of a token system. Every time a customer wants to get service from the service provider, he has to request for a token through an android app, to the service provider web server, the application running in web server will issues token with a number on it to requested customer. The first three tokens are allowed to go inside the place immediately and while the customer with token N is allowed inside, the person with token N+1 is notified that his turn is next and at the same time all the other token holders get a notification saying that “Token  N has entered”. This proves beneficial to many people as it avoids contact with other people and also saves time.

Abstract

Counterfeit medications are known as the medications that were manufactured for the purpose of deceptively representing as authentic, effective and original in the market. Such medications cause severe health issues for patients. Counterfeited drugs have an inimical effect on the human health. The legal manufacturing companies also face threats to their revenue loss due to these counterfeited medicines. In this paper, we introduce a novel authentication protocol for anti-counterfeited drugs systems based on Internet of Things (IoT) to help checking the validity of drugs “unit dosage”. Our protocol uses the nearfield communication (NFC) as it is convenient for mobile environment. The protocol also offers reliable update phase for NFC. Furthermore, our scheme is complemented with performance evaluation along with the use of random oracle model for formal security analysis. We also evaluate our protocol broadly using Py-Charm tool. Results show that proposed protocol resists most of common related flaws almost in equal computing cost with more added security features.

Abstract

Contact tracing is an essential tool for public health officials and local communities to fight the spread of novel diseases, such as for the COVID-19 pandemic. The Singaporean government just released a mobile phone app, TraceTogether, that is designed to assist health officials in tracking down exposures after an infected individual is identified. However, there are important privacy implications of the existence of such tracking apps. Here, we analyze some of those implications and discuss ways of ameliorating the privacy concerns without decreasing usefulness to public health. We hope in writing this document to ensure that privacy is a central feature of conversations surrounding mobile contact tracing apps and to encourage community efforts to develop alternative effective solutions with stronger privacy protection for the users. Importantly, though we discuss potential modifications, this document is not meant as a formal research paper, but instead is a response to some of the privacy characteristics of direct contact tracing apps like TraceTogether and an early-stage Request for Comments to the community.

Abstract:

The use of credit and debit cards in today’s world has become so easy and fast. The card transactions have become increasingly omnipresent and so have the dangers to cyber crime. Three major attacks that we go through with the usage of ATM cards is skimming devices, shoulder surfing and fake keyboard. A common problem associated with cyber crime and the blocking of ATM cards is the long and tiring interactions with the company customer services. In this project we are using a three level of authentication factor employing CAPTCHA, Dash Matrix Algorithm and One-time password. There is a NFC card with all the bank details of the customer. With the help of NFC tag in the ATM machine all the information in the tag is identified by the system. Then the data is encrypted and finally a OTP is sent to the mobile of the customer in order to undergo any transactions. This proposed system, therefore, ensures both secure usage of ATM cards and cost effectiveness by utilising a common and user friendly technology.

Abstract

We address the secure pairing of mobile devices based on accelerometer data under various transportation environments, e.g., train, tram, car, bike,walking, etc. As users commonly commute by several transportation modes, extracting session keys from various scenarios to secure the private network of user’s devices or even the public network formed by devices belonging to distinct users that share the same location is crucial. The main goal of our work is to establish the amount of entropy that can be collected from these environments in order to determine concrete security bounds for each environment. We test several signal processing techniques on the extracted data, e.g., low-pass and high-pass lters, then apply sigma-delta modulation in order to expand the size of the feature vectors and increase both the pairing success rate and security level. Further, we bootstrap secure session keys by the use of existing cryptographic building blocks EKE (Encrypted Key Exchange) and SPEKE (Simple Password Exponential Key Exchange).We implement our proof-of-concept application on Android smart-phones and take benet from numerical processing environments for the off-line analysis of the collected datasets.

Abstract

 Multimodal biometric authentication method can conquer the defects of the unimodal biometric authentication technology. In this paper, we design and develop an efficient Android-based multimodal biometric authentication system with face and voice. Considering the hardware performance restriction of the smart terminal, including the random access memory (RAM), central processing unit (CPU) and graphics processor unit (GPU), etc., which cannot efficiently accomplish the tasks of storing and quickly processing the large amount of data, a face detection method is introduced to efficiently discard the redundant background of the image and reduce the unnecessary information. Furthermore, an improved local binary pattern (LBP) coding method is presented to improve the robustness of the extracted face feature. We also improve the conventional endpoint detection technology, i.e. the voice activity detection (VAD) method, which can efficiently increase the detection accuracy of the voice mute and transition information and boost the voice matching effectiveness. To boost the authentication accuracy and effectiveness, we present an adaptive fusion strategy which organically integrates the merits of the face and voice biometrics simultaneously. The cross-validation experiments with public databases demonstrate encouraging authentication performances compared with some state-of-the-art methods. Extensive testing experiments on Android-based smart terminal show that the developed multimodal biometric authentication system achieves perfect authentication effect and can efficiently content the practical requirements.

The use of Near Field Communication (NFC) technology for contactless mobile transactions has become popular in the past decade with the availability of this technology in mobile devices. Today, there are millions of NFC-enabled mobile handsets in the market, with mobile handset manufacturers and mobile network operators enabling m-wallet solutions using the Secure Elements (SE) that they own, thus can remotely control, on the devices. While this approach gives full control to the SE owner to activate any mobile transaction system on a device, having a more flexible approach would increase the benefits that end users could obtain from this technology in a variety of use cases. In this paper, we introduce a novel protocol for the NFC-based mobile transaction procedure, which uses tamper-resistant SEs that are already installed at the transaction terminals, and is mobile handset manufacturer and mobile network operator independent. We evaluate and show the feasibility of the use of our proposed model with common mobile electronic payment scenarios. The evaluation results demonstrate that the proposed solution is promising for adoption as a secure NFC transaction model, which will have applications in various security-sensitive IoT scenarios, including but not limited to, mobile identification, healthcare, payment and access control.

Abstract:

Blockchain secures a variety of IoT circumstance, when information or system validation information is placed on a blockchain, personal data might be spilled through the affirmation of working system. This paper observes a Zero-Knowledge proof for an awesome meter framework to illustrate the effectiveness of uncovered information as an instance. This research work has pondered a way to enhance the obscurity of blockchain for safety insurance. In addition to that, device Near-field communication (NFC) generation is used as a mobile platform application. The fundamental idea of this research is to provide a secure service to a consumer through mobile application using the near field communication card and Zero knowledge authentication system.

Abstract:Electronic medical recd systems (EMR) have been used in adopting primary care physicians; few also use such system in practice. It is said to be user friendly environment , secure in services , many new ways have been used in order to access health care data. With ought to reducing of patient quality care mobile health care system is said to be implemented. By using Near Field Communication (NFC) a novel method is developed that uses basic architecture for m-health care services. For the welfare of the patients requirement the mobile health care system have been used globally. The work highlights fetching patient records by the doctor in a single tap with NFC tag to the NFC reader. With the help of Near Field Communication (NFC), these following steps need to be undertaken with high priority in order as well as provisioning the healthcare of the patients anytime and anywhere through wireless technologies.

    Contact: 

   +91-98451 66723

  +91-98866 92401

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Abstract: The main aim of this paper, to introduce the online based app for applying and renewals of bus pass in the government bus.  Those who wish to take a bus pass in the government bus and also renewal of their bus pass within the specific period of time which is easy by using this app.

Abstract: This project deals with the camera application that can process the image to various processes. The impact of this project is made by the existing system where Google Lens process the image into text, translate, navigate and search about the text. The image is processed based on two major modules TEXT and IMAGE. TEXT module contains OCR, translation, maps, related Images. IMAGE module contains face emotions and image recognition. Where face emotion detects a face and reveals one’s reactions such as happiness or sadness, etc. Whereas the image recognition module processes the entire object within an image and identifies each object in text form.

    Contact: 

   +91-98451 66723

  +91-98866 92401

 Abstract : Traffic congestion is a common phenomenon in developing countries like Bangladesh. This is the quotidian scenario in most of the metropolitan cities of the world. Because of heavy Traffic, people lose their valuable time from their busy schedule. One of the prime reasons of this Traffic congestion is parking on the roadside. So, a need arises to develop a parking system so that it can reduce the Traffic congestion in near future. The paper focuses on a smart android based parking control application which will help you to find out a parking area in nearby your location. The mobile application will also help you to pay the parking charge by online payment system. A counter will be there in the application which will help you to count the amount of time your car have spent in the parking lot. This application will also track the entire process and all the previous records.

    Contact: 

   +91-98451 66723

  +91-98866 92401

Abstract : With the increasing market share of Android devices, malicious applications are developing and spreading rapidly. So it is imperative to improve the detection accuracy of Android malware. In this paper, we propose a hybrid detection method that performs dynamic detection on the results of static detection. The proposed method extracts the static features and dynamic features of the application, which can better detect the maliciousness of the Android application. Furthermore, we present experimental results of three ensemble methods in the dynamic detection, and choose the XGBoost algorithm with the optimum performance. Finally, we show that our method achieves a detection accuracy of 94.6%, which is higher than 85.3% of the static detection and 94.1% of the dynamic detection.

Abstract : Mobile and web application security, particularly the areas of data privacy, has raised much concerns from the public in recent years. Most applications, or apps for short, are installed without disclosing full information to users and clearly stating what the application has access to, which often raises concern when users become aware of unnecessary information being collected. Unfortunately, most users have little to no technical expertise in regards to what permissions should be turned on and can only rely on their intuition and past experiences to make relatively uninformed decisions. To solve this problem, we developed Droid Net, which is a crowd-sourced Android recommendation tool and framework. DroidNet alleviates privacy concerns and presents users with high confidence permission control recommendations based on the decision from expert users who are using the same apps. This paper explains the general framework, principles, and model behind Droid Net while also providing an experimental setup design which shows the effectiveness and necessity for such a tool.

Abstract : The concepts of smart home and Internet of  Things (IoT) are becoming reality. Although the basic principles of this new communication paradigm are well defined, yet the practice lacks knowledge of the difficulties related to its practical realization and usage. This paper aims at highlighting some hands-on problems and solutions when implementing a simple and yet very comprehensive and easy to use smart-home solution. Our design is based on Bluetooth Low Energy (BLE) communication with the peripheral devices and an Android central hub for coordination. The proposed solution gains the advantages provided by the Google Firebase Cloud Messaging (FCM), in order to provide geographical flexibility for the client’s application and networking. The paper provides testing results related to the development and verification of the smart home solution.

Abstract : This paper presents a low-cost smart home system with an efficient system. The hardware consists of NodeMCU Arduino, PIR sensor, temperature sensor, light dependent resistor and a motion sensor in IP Camera. The software includes ArduinoIDE and MIT app inventor II for Android mobile phones. The system developed based on Android user Interface for controlling a smart home. The NETPIE platform, which is a network of IoT, is used for interfacing between a user and a smart home. This system consists of lighting system, fan and security system. The notification is through LINE Notify app. The system includes two control systems; manual and automatic. From the results, it is shown that the control system is well performance while it is developed just low-cost devices.