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Android Messaging Investigator: Forensic text analysis tool for SMS, Kik and Hangouts conversations
Dalarna University, School of Technology and Business Studies, Computer Engineering.
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

With increasing usage of smartphones and text messaging through SMS and instant messaging applications, comes an increased need to be able to effectively analyze textual content in a forensic manner. Many of the common forensic applications relies on simple key word searching and regular expressions to find potential evidence in smartphones.

In this report a forensic analysis application for Android SMS, Kik and Hangouts conversations named Android Messaging Investigator (AMINV) is proposed.

The application aims to make the forensic analysis more effective by providing the forensic investigator with sentiment analysis technology. A message written with a negative mood might contain threats or harassments that may be of interest during a forensic investigation.

Visualization is offered to make it possible for the forensic investigator to gain an extensive visual overview over conversation and sentiment data. Common forensic software features as being able to create forensic cases, search and filter data, save evidence, validate input data through hash-sums and generating forensic reports are also provided.

The report covers the whole software implementation process. The final results are the developed forensic application, performance measurements of the sentiment analysis tool, a general performance analysis and an extensive stress-test.

Place, publisher, year, edition, pages
2018.
Keywords [en]
SMS, Kik, Hangouts, Android, Instant Messaging, Digital Forensics, Forensics, Text Mining, Natural Language Processing, NLP, Sentiment Analysis, Machine Learning, Software development, C#, Python, Visual Studio, PyCharm, VADER, TextBlob
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:du-28228OAI: oai:DiVA.org:du-28228DiVA, id: diva2:1233555
Available from: 2018-07-18 Created: 2018-07-18

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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  • vancouver
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Language
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  • nn-NB
  • sv-SE
  • Other locale
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Output format
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  • asciidoc
  • rtf