Privacy Protection for Online Social Network Through Third Party Application Programming Interface

2017 ◽  
Author(s):  
S.A. Manikandan ◽  
A.C. Kaladevi
Keyword(s):  
Social Network ◽  
Privacy Protection ◽  
Online Social Network ◽  
Application Programming Interface ◽  
Third Party ◽  
Application Programming ◽  
Programming Interface

Sistem Pengawasan Aktifitas Penggunaan Smartphone Android

2018 ◽  
Vol 9 (1) ◽  
pp. 24-31
Author(s):  
Rudianto Rudianto ◽  
Eko Budi Setiawan
Keyword(s):  
Application Programming Interface ◽  
Third Party ◽  
Image Content ◽  
Image File ◽  
Application Programming ◽  
Index Terms ◽  
Programming Interface

Availability the Application Programming Interface (API) for third-party applications on Android devices provides an opportunity to monitor Android devices with each other. This is used to create an application that can facilitate parents in child supervision through Android devices owned. In this study, some features added to the classification of image content on Android devices related to negative content. In this case, researchers using Clarifai API. The result of this research is to produce a system which has feature, give a report of image file contained in target smartphone and can do deletion on the image file, receive browser history report and can directly visit in the application, receive a report of child location and can be directly contacted via this application. This application works well on the Android Lollipop (API Level 22). Index Terms— Application Programming Interface(API), Monitoring, Negative Content, Children, Parent.

Mapping Discord’s darkside: Distributed hate networks on Disboard

2021 ◽  
pp. 146144482110625
Author(s):  
Daniel G Heslep ◽  
PS Berge
Keyword(s):  
Discourse Analysis ◽  
Deleterious Effect ◽  
Application Programming Interface ◽  
Third Party ◽  
White Supremacist ◽  
Public Commitment ◽  
Application Programming ◽  
Programming Interface

Discord, a popular community chat application, has rhetorically distanced itself from its associations with white supremacist content through a public commitment to proactive moderation. However, Discord relies extensively on third-party services (like bots and server bulletins), which have been overlooked in their role in facilitating hateful networks. This study notes how Discord offloads searchability to server bulletin sites like Disboard, to deleterious effect. This study involves two parts: (1) we use critical technoculture discourse analysis to examine Discord’s blogs, policies, and application programming interface and (2) we present data scraped from 2741 Discord servers listed on Disboard, revealing networks of hateful and white supremacist communities that openly use “edgy,” raiding-oriented, and toxic messaging. These servers exploit Discord’s moderation tools and affordances to proliferate within Discord’s distributed ecology. We argue that Discord’s policies fail to address its reliance on unmoderated third-party services or the networked practices of its toxic communities.

scholarly journals LTTng CLUST: A System-Wide Unified CPU and GPU Tracing Tool for OpenCL Applications

2015 ◽  
Vol 2015 ◽  
pp. 1-14 ◽  
Author(s):  
David Couturier ◽  
Michel R. Dagenais
Keyword(s):  
Application Programming Interface ◽  
Third Party ◽  
Battery Life ◽  
Portable Devices ◽  
Processing Unit ◽  
Central Processing ◽  
Application Programming ◽  
Graphical Processing ◽  
Performance Analysis Tools ◽  
Programming Interface

As computation schemes evolve and many new tools become available to programmers to enhance the performance of their applications, many programmers started to look towards highly parallel platforms such as Graphical Processing Unit (GPU). Offloading computations that can take advantage of the architecture of the GPU is a technique that has proven fruitful in recent years. This technology enhances the speed and responsiveness of applications. Also, as a side effect, it reduces the power requirements for those applications and therefore extends portable devices battery life and helps computing clusters to run more power efficiently. Many performance analysis tools such as LTTng, strace and SystemTap already allow Central Processing Unit (CPU) tracing and help programmers to use CPU resources more efficiently. On the GPU side, different tools such as Nvidia’s Nsight, AMD’s CodeXL, and third party TAU and VampirTrace allow tracing Application Programming Interface (API) calls and OpenCL kernel execution. These tools are useful but are completely separate, and none of them allow a unified CPU-GPU tracing experience. We propose an extension to the existing scalable and highly efficient LTTng tracing platform to allow unified tracing of GPU along with CPU’s full tracing capabilities.

scholarly journals APIfix: output-oriented program synthesis for combating breaking changes in libraries

2021 ◽  
Vol 5 (OOPSLA) ◽  
pp. 1-27
Author(s):  
Xiang Gao ◽  
Arjun Radhakrishna ◽  
Gustavo Soares ◽  
Ridwan Shariffdeen ◽  
Sumit Gulwani ◽  
...  
Keyword(s):  
Program Synthesis ◽  
Application Programming Interface ◽  
Third Party ◽  
Security Vulnerabilities ◽  
Synthesis Algorithm ◽  
Transformation Rules ◽  
Art Program ◽  
Application Programming ◽  
Api Usage ◽  
Programming Interface

Use of third-party libraries is extremely common in application software. The libraries evolve to accommodate new features or mitigate security vulnerabilities, thereby breaking the Application Programming Interface(API) used by the software. Such breaking changes in the libraries may discourage client code from using the new library versions thereby keeping the application vulnerable and not up-to-date. We propose a novel output-oriented program synthesis algorithm to automate API usage adaptations via program transformation. Our aim is not only to rely on the few example human adaptations of the clients from the old library version to the new library version, since this can lead to over-fitting transformation rules. Instead, we also rely on example usages of the new updated library in clients, which provide valuable context for synthesizing and applying the transformation rules. Our tool APIFix provides an automated mechanism to transform application code using the old library versions to code using the new library versions - thereby achieving automated API usage adaptation to fix the effect of breaking changes. Our evaluation shows that the transformation rules inferred by APIFix achieve 98.7% precision and 91.5% recall. By comparing our approach to state-of-the-art program synthesis approaches, we show that our approach significantly reduces over-fitting while synthesizing transformation rules for API usage adaptations.

Vehicular System Management Architecture and Application Platform

2012 ◽  
pp. 426-444
Author(s):  
Teng-Wen Chang ◽  
Jiann-Liang Chen
Keyword(s):  
Service Providers ◽  
Application Programming Interface ◽  
Third Party ◽  
System Management ◽  
Service Initiative ◽  
Remote Management ◽  
Management Architecture ◽  
Application Programming ◽  
Equipment Manufacture ◽  
Programming Interface

Notably, not all telematics services can be used in telematics terminals as a result of the varied platform standards. The main issues are that most telematics technologies depend on vertical, proprietary and closed per-OEM Original Equipment Manufacture (OEM) platforms, forming islands of non-interoperable technology and preventing third-party service providers from creating valuable services. In this study, the Open Gateway Service Initiative Vehicle Expert Group (OSGi/VEG) was integrated into an Android platform to generate a vehicular Android/OSGi platform that has the advantages of both original platforms, such as remote management, rich class sharing, proprietary vehicular applications, security policies, easy management of application programming interface (APIs), and an environment with increased openness. Furthermore, this study integrates the cloud computing mechanism into the Android/OSGi platform, which allows service providers to upload their telematics bundles onto storage clouds via the provisioning server.

From Poacher to Protector of Attention: The Therapeutic Turn of Persuasive Technology and Ethics of a Smartphone Habit-breaking Application

2021 ◽  
pp. 016224392110426
Author(s):  
Alex Beattie
Keyword(s):  
Application Programming Interface ◽  
Persuasive Technology ◽  
Third Party ◽  
End User ◽  
Related Concept ◽  
Software Products ◽  
Ethical Inquiry ◽  
Application Programming ◽  
User Attention ◽  
Programming Interface

This paper critically investigates the ethical perspectives and practices of individuals and organizations who make persuasive technologies (“persuasive technologists”). An organization that claims to be at the forefront of ethical persuasion is behavioral software company Boundless Mind. Yet Boundless Mind sells ostensibly oxymoronic software products: an Application Programming Interface for third-party applications that optimizes the capture of end user attention, and an application for end users on how to make third-party applications less persuasive. Drawing upon Foucault’s interpretation of ethics as an “aesthetics of existence” and the related concept of “therapeutic authority,” I argue Boundless Mind justify the “poaching” and “protecting” of user attention based on a view of the human subject as fixable and their capability to instrumentalize user subjectivity to socially desirable ends. I walkthrough Boundless Mind’s technology-habit-breaking application Space and highlight a behavioral technique administered by Space called stimulus devaluation, which enables the user to develop a transformative relationship with their technology habits and persuasive applications. I conclude the paper by arguing that a persuasive technology ethics based on fixing the user obfuscates the power of persuasive technologists by limiting the scope of ethical inquiry to the activities of the user.

Vehicular System Management Architecture and Application Platform

2010 ◽  
pp. 290-309
Author(s):  
Teng-Wen Chang ◽  
Jiann-Liang Chen
Keyword(s):  
Service Providers ◽  
Application Programming Interface ◽  
Third Party ◽  
System Management ◽  
Service Initiative ◽  
Remote Management ◽  
Management Architecture ◽  
Application Programming ◽  
Equipment Manufacture ◽  
Programming Interface

Notably, not all telematics services can be used in telematics terminals as a result of the varied platform standards. The main issues are that most telematics technologies depend on vertical, proprietary and closed per-OEM Original Equipment Manufacture (OEM) platforms, forming islands of non-interoperable technology and preventing third-party service providers from creating valuable services. In this study, the Open Gateway Service Initiative Vehicle Expert Group (OSGi/VEG) was integrated into an Android platform to generate a vehicular Android/OSGi platform that has the advantages of both original platforms, such as remote management, rich class sharing, proprietary vehicular applications, security policies, easy management of application programming interface (APIs), and an environment with increased openness. Furthermore, this study integrates the cloud computing mechanism into the Android/OSGi platform, which allows service providers to upload their telematics bundles onto storage clouds via the provisioning server.

scholarly journals Open Machine Translation Core: An Open API for Machine Translation Systems

2013 ◽  
Vol 100 (1) ◽  
pp. 91-100
Author(s):  
Ian Johnson
Keyword(s):  
Machine Translation ◽  
Application Programming Interface ◽  
Third Party ◽  
Abstract Representation ◽  
Application Programming ◽  
Open Api ◽  
Translation Systems ◽  
Programming Interface ◽  
Service Interface

Abstract Open Machine Translation Core (OMTC) is a proposed open API that defines an application programming interface (API) for machine translation (MT) systems. The API defined is a service interface which can be used to underpin any type of MT application. It consists of components which allow programmers, with little effort, to integrate different MT back-ends into their applications since an OMTC compliant MT system presents a consistent interface. OMTC attempts to standardise the following aspects of an MT system: resources - the abstract representation of assets used e.g. documents and translation memories, sessions - a period of time in which a user interacts with the system, session negotiation - agreement on which services are to be provided, authorisation - integration with third party authorisation systems to prevent users performing unauthorised actions, scheduling - the management of long running MT tasks, machine translation engines - a representation of an entity capable of providing only MT, and translators - a conglomeration of, at least one of the following, an MT engine, a collection of translation memories, and a collection of glossaries.

Android Smartphone Remote Monitoring Application Using SMS Service

2017 ◽  
Vol 4 (2) ◽  
pp. 112-119
Author(s):  
Hadi Pranoto ◽  
Eko Budi Setiawan
Keyword(s):  
Operating System ◽  
Remote Monitoring ◽  
Application Programming Interface ◽  
Third Party ◽  
The Internet ◽  
Current Location ◽  
Application Programming ◽  
Android Operating System ◽  
Monitoring Application ◽  
Programming Interface

Android has been updating the system of every version it releases. The addition of Application Programming Interface (API) is done every time Google releases a new Android operating system. The availability of APIs for third-party applications provides opportunities for developers to be able to monitor Android smartphones. Just like Google Device Manager which can instruct Android smartphones over the internet network, however, it still has a deficiency that is if the target smartphone in a state of inactive internet. In this research, the author utilizes SMS media to be able to process instructions and access the system API for monitoring purposes. The results of this research is by using SMS then user can instruct Android smartphone to take photos, get current location, ring, delete smartphone files, set screen protection, and backup contact with higher messaging reliability. This application can run well on Android Lollipop 5.1 (API Level 22) or above because it has enough API to support system functionality.

scholarly journals Pemanfaatan Analisis Jaringan Sosial Dalam Penentuan Centrality Dalam Pengembangan Web Berita Online

2020 ◽  
Vol 1 (3) ◽  
pp. 157-173
Author(s):  
Fitra Ramadhan
Keyword(s):  
Social Network ◽  
Application Programming Interface ◽  
Closeness Centrality ◽  
Degree Centrality ◽  
Application Programming ◽  
Programming Interface ◽  
Global Data ◽  
Betweeness Centrality

Revolusi digital selama berapa tahun terakhir ini meningkat pesat dan membuat perkembangan pada basis data. Perkembangan data tersebut sering terjadi beredar secara global. Data yang tersebar secara global dapat dikonsumsikan sebagai informasi terutama dalam media sosial. Media sosial Twitter merupakan salah satu media sosial yang sudah banyak digunakan di indonesia, dengan Data percakapan pada Twitter tersebut dapat dimanfaatkan sebagai sarana Informasi atau berita dan dapat juga dianalisis. Dengan penelitian ini memanfaatkan Basis Data pada media sosial twitter pada tweets yang diperoleh melalui API (Application Programming  Interface). Dengan basis data tersebut merupakan untuk mewakili jaringan sosial antara pengguna, dan dengan menggunakan metode Social Network Analisys (SNA) karena untuk mencari tahu siapa saja pengguna yang menunjukkan pengaruh paling besar dalam penyebaran berita atau informasi dengan menggunakan suatu kata kunci dengan kata lain kedekatan dan hubungan dalam tweet. Software basis data dan Visualisasi menggunakan Gephi.  Dalam menentukan aktor yang paling berpengaruh dalam Hastag #Indonesia dihitung menggunakan Centrality yang terdiri dari degree Centrality, Betweeness Centrality, dan Closeness Centrality. Sampel yang digunakan dalam penelitian ini merupakan sebuah tweet yang didalam mention, retweet, maupun reply  interaksi akun tersebut menggunakan #Indonesia. Hasil penelitian ini yaitu terdapat 1064 node (akun) dan terdapat 1261 edges merupakan aktor yang terlibat dalam interaksi. Dalam tersebut ditemukan aktor atau akun yang paling berengaruh dalam jaringan #Indonesia secara keseluruhan adalah akun bernama bob_bay.

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