Protecting IoT-environments against Traffic Analysis Attacks with Traffic Morphing

Ibbad Hafeez, Markku Antikainen, Sasu Tarkoma

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

Abstrakti

Traffic analysis attacks allow an attacker to infer sensitive information about users by analyzing network traffic of user devices. These attacks are passive in nature and are difficult to detect. In this paper, we demonstrate that an adversary, with access to upstream traffic from a smart home network, can identify the device types and user interactions with IoT devices, with significant confidence. These attacks are practical even when device traffic is encrypted because they only utilize statistical properties, such as traffic rates, for analysis. In order to mitigate the privacy implications of traffic analysis attacks, we propose a traffic morphing technique, which shapes network traffic thus making it more difficult to identify IoT devices and their activities. Our evaluation shows that the proposed technique provides protection against traffic analysis attacks and prevent privacy leakages for smart home users.
Alkuperäiskielienglanti
Otsikko2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Sivumäärä6
KustantajaIEEE
Julkaisupäivä6 kesäk. 2019
Sivut196-201
ISBN (painettu)978-1-5386-9152-6
ISBN (elektroninen)978-1-5386-9151-9, 978-1-5386-9150-2
DOI - pysyväislinkit
TilaJulkaistu - 6 kesäk. 2019
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
Tapahtuma2019 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops): 2nd International Workshop on Context-Awareness for ​Multi-Device Pervasive and Mobile Computing - Kyoto, Kyoto, Japani
Kesto: 11 maalisk. 201915 maalisk. 2019
Konferenssinumero: 2
http://pds.cs.helsinki.fi/percrowd/

Tieteenalat

  • 113 Tietojenkäsittely- ja informaatiotieteet

Siteeraa tätä