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    Wyświetlanie 1-4 z 4
    Tytuł:
    Access Logs : Underestimated Privacy Risks
    Autorzy:
    Glet, Michał
    Kaczyński, Kamil
    Powiązania:
    https://bibliotekanauki.pl/articles/227087.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    metadata
    privacy
    cybersecurity
    instant messaging
    access log
    Opis:
    Access logs may offer service providers a lot of information about specific users. Depending on the type of the service offers, the operator is capable of obtaining the user’s IP, location, communication habits, device information and so on. In this paper, we analyze a sample instant messenger service that is operating for a certain period of time. In our sandbox, we gathered enough data to correlate user communication habits with their localization, and even contacts. We show how seriously metadata may impact the user’s privacy and make some recommendations about mitigating the quantity of data collected in connection with this type of services.
    Źródło:
    International Journal of Electronics and Telecommunications; 2020, 66, 3; 405-410
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Secure And Efficient Encryption Scheme Based on Bilinear Mapping
    Autorzy:
    Verma, Vandani
    Mishra, Pragya
    Powiązania:
    https://bibliotekanauki.pl/articles/2124750.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    bilinear mapping
    encryption
    KGC
    ID-OWE
    discrete log problem
    Opis:
    With the increasing uses of internet technologies in daily life, vulnerability of personal data/information is also increasing. Performing secure communication over the channel which is insecure has always been a problem because of speedy development of various technologies. Encryption scheme provides secrecy to data by enabling only authorized user to access it. In the proposed paper, we present an encryption algorithm designed for data security based on bilinear mapping and prove it secure by providing its security theoretical proof against adaptive chosen cipher-text attack. With the help of a lemma, we have shown that no polynomially bounded adversary has non-negligible advantage in the challenging game. We also give the comparative analysis of the proposed scheme in terms of security and performance with Deng et al., 2020 and Jiang et al., 2021 schemes and prove that proposed algorithm is more efficient and secure than others existing in literature against adaptive chosen cipher-text attack.
    Źródło:
    International Journal of Electronics and Telecommunications; 2022, 68, 3; 469--473
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Recognition of Sign Language from High Resolution Images Using Adaptive Feature Extraction and Classification
    Autorzy:
    Csóka, Filip
    Polec, Jaroslav
    Csóka, Tibor
    Kačur, Juraj
    Powiązania:
    https://bibliotekanauki.pl/articles/226004.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    sign language
    gesture
    sign
    recognition
    CNN
    LoG
    real-time
    pattern recognition
    machine learning
    Opis:
    A variety of algorithms allows gesture recognition in video sequences. Alleviating the need for interpreters is of interest to hearing impaired people, since it allows a great degree of self-sufficiency in communicating their intent to the non-sign language speakers without the need for interpreters. State-of-the-art in currently used algorithms in this domain is capable of either real-time recognition of sign language in low resolution videos or non-real-time recognition in high-resolution videos. This paper proposes a novel approach to real-time recognition of fingerspelling alphabet letters of American Sign Language (ASL) in ultra-high-resolution (UHD) video sequences. The proposed approach is based on adaptive Laplacian of Gaussian (LoG) filtering with local extrema detection using Features from Accelerated Segment Test (FAST) algorithm classified by a Convolutional Neural Network (CNN). The recognition rate of our algorithm was verified on real-life data.
    Źródło:
    International Journal of Electronics and Telecommunications; 2019, 65, 2; 303-308
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Wireless Sensor Node Localization based on LNSM and Hybrid TLBO : Unilateral technique for Outdoor Location
    Autorzy:
    Kaundal, V.
    Sharma, P.
    Prateek, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/226010.pdf
    Data publikacji:
    2017
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    log normal shadowing model (LNSM)
    teacher learning based optimization (TLBO)
    trilateration
    unilateral
    RSSI
    ZigBee
    wireless sensor network
    Opis:
    The paper aims at localization of the anchor node (fixed node) by pursuit nodes (movable node) in outdoor location. Two methods are studied for node localization. The first method is based on LNSM (Log Normal Shadowing Model) technique to localize the anchor node and the second method is based on Hybrid TLBO (Teacher Learning Based Optimization Algorithm) - Unilateral technique. In the first approach the ZigBee protocol has been used to localize the node, which uses RSSI (Received Signal Strength Indicator) values in dBm. LNSM technique is implemented in the self-designed hardware node and localization is studied for Outdoor location. The statistical analysis using RMSE (root mean square error) for outdoor location is done and distance error found to be 35 mtrs. The same outdoor location has been used and statistical analysis is done for localization of nodes using Hybrid TLBO-Unilateral technique. The Hybrid-TLBO Unilateral technique significantly localizes anchor node with distance error of 0.7 mtrs. The RSSI values obtained are normally distributed and standard deviation in RSSI value is observed as 1.01 for outdoor location. The node becomes 100% discoverable after using hybrid TLBO- Unilateral technique.
    Źródło:
    International Journal of Electronics and Telecommunications; 2017, 63, 4; 389-397
    2300-1933
    Pojawia się w:
    International Journal of Electronics and Telecommunications
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-4 z 4

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