Blar i TKD - Institutt for informasjonsteknologi på tidsskrift "Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering"

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    • Advanced 5G Network Slicing Isolation Using Enhanced VPN+ for Healthcare Verticals 

      Dzogovic, Bruno; Mahmood, Tariq; Santos, Bernardo; Feng, Boning; Do, Thuan Van; Jacot, Niels; Do, van Thanh (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;Volume 401, Conference object, 2022-01-01)
      Alongside of supporting the human world, 5G aimed towards establishing an all-inclusive ecosystem for Internet of Things to sustain variety of industrial verticals such as e-health, smart home, smart city, etc. With the ...

    • Ageing@home: A secure 5G welfare technology solution for elderlies 

      Feng, Boning; Langhammer, Birgitta; Do, Thuan Van; Jacot, Niels; Santos, Bernardo; Dzogovic, Bruno; Nesse, Per Jonny; Van Do, Thanh (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;Volume 401, Conference object, 2021-01-01)
      The world population is ageing at a fast pace and to enable elderly to age at home can become a viable solution both economically and socially speaking, leading also to the overall improvement of the elderly’s well-being ...

    • Anomaly Detection in Cellular IoT with Machine Learning 

      Santos, Bernardo; Khan, Imran Qayyrm; Dzogovic, Bruno; Feng, Boning; Do, Thuan Van; Jacot, Niels; Do, van Thanh (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering;Volume 401, Conference object, 2021-01-01)
      The number of Internet of Things (IoT) devices used in eldercare are increasing day by day and bringing big security challenges especially for health care organizations, IoT service providers and most seriously for the ...

    • Automatic detection of hateful comments in online discussion 

      Hammer, Hugo Lewi (Journal article; Peer reviewed, 2017)
      Making violent threats towards minorities like immigrants or homosexuals is increasingly common on the Internet. We present a method to automatically detect threats of violence using machine learning. A material of 24,840 ...