Library Development for Creating Bots on Slack, Telegram and Facebook Messengers

Kozhevnikov, Vadim Andreevich; Sabinin, Oleg Yurievich; Shats, Julia Efimovna

doi:10.15863/tas.2017.06.50.4

Cited by 4 publications

(3 citation statements)

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“…The backend receives the message, figures out what to answer, and returns a response to the user using a web application programming interface (API) from the chatbot service provider. In this case, the API is provided to developers in the public domain [23].…”

Section: Intrusion Warning Mechanismmentioning

confidence: 99%

A real-time hypertext transfer protocol intrusion detection system on web server

Tedyyana¹,

Ghazali

Purbo³

2023

TELKOMNIKA

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Behind the rapid development of the internet in today's era, various types of crime are also targeting vital players in the internet industry. With many online crime types rampant, an antidote is also needed to suppress internet crime. Therefore, the researcher proposes a solution in the form of a Keris, namely the hypertext transfer protocol (HTTP) intrusion detection system (IDS) that runs on the server where our website is running. Keris works by detecting rampant intrusions that attack servers or websites. When an intrusion is detected, Keris will notify the system admin using the Keris Telegram chatbot or an alternative Keris mobile application with firebase cloud messaging (FCM) technology. The research was conducted by comparing the results of one-way delay (OWD) between Telegram Webhook and FCM with the help of the open web application security project (OWASP) zed attack proxy (ZAP) test tool. From the results of the tests, OWD against directory brute force attacks on Telegram Webhook for 0.72 seconds and on FCM for 0.44 seconds. In this case, FCM is more suitable for real-time notifications if we need a very responsive notification.

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Section: Intrusion Warning Mechanismmentioning

confidence: 99%

A real-time hypertext transfer protocol intrusion detection system on web server

Tedyyana¹,

Ghazali

Purbo³

2023

TELKOMNIKA

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“…To develop the module, it was decided to use the Java language because it is one of the most popular programming languages [10] and its library standard has everything necessary to implement the interaction with messengers [11]. Using only standard classes and methods involves the need to write a lot of repetitive low-level code, so it is more convenient to use libraries that simplify interaction with messengers.…”

Section: Development Of the Bot Library Modulementioning

confidence: 99%

“…Once the libraries were created and built, the main task was to merge them into the Bot Library in order to developer could immediately transmit his bot to multiple platforms [11].…”

Section: Development Of the Bot Library Modulementioning

confidence: 99%

Development of Cross-Platform Utility for the Dba Using a Library for Working With Bots

Kozhevnikov¹,

Sabinin²,

Shats³

2018

Theoretical & Applied Science

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Slack Feedback Analyzer (SFbA)

Bobhate

Malhotra

2020

Computational Methods and Data Engineering

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Library Development for Creating Bots on Slack, Telegram and Facebook Messengers

Abstract: Impact Factor:ISRA (India) = 1.344 ISI (Dubai, UAE) = 0.829 GIF (Australia) = 0.564 JIF = 1.500

Cited by 4 publications

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A real-time hypertext transfer protocol intrusion detection system on web server

A real-time hypertext transfer protocol intrusion detection system on web server

Development of Cross-Platform Utility for the Dba Using a Library for Working With Bots

Slack Feedback Analyzer (SFbA)

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