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Found 4 essays matching the above criteria.

  1. 1. Preserving Security and Privacy: a WiFi Analyzer Application based on Authentication and Tor

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Alexandra Kolonia; Rebecka Forsberg; [2020]
    Keywords : Network security; Privacy; Anonymity; Onion routing; Tor Organization; Wi-Fi data collection; Nätverkssäkerhet; Sekretess; Anonymitet; Lök-routing; Tor Organisation; Wifidatainsamling;

    Abstract : Numerous mobile applications have the potential to collect and share userspecific information on top of the essential data handling. This is made possible through poor application design and its improper implementation. READ MORE

  3. 2. Towards Learning for System Behavior

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Liangcheng Yu; [2019]
    Keywords : ;

    Abstract : Traditional network management typically relies on clever heuristics to capture thecharacteristics of environments, workloads in order to derive an accurate model.While such methodology has served us well in early days, it is challenged by thegrowing intricacies of modern network design from various dimensions: the rocketingtraffic volumn, proliferation of software applications and varied hardware, higheruser-specific Quality of Experience (QoE) requirements with respect to bandwidthand latencies, overwhelming number of knobs and configurations and so forth. READ MORE

  4. 3. Sort Merge Buckets: Optimizing Repeated Skewed Joins in Dataflow

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Andrea Nardelli; [2019]
    Keywords : ;

    Abstract : The amount of data being generated and consumed by today’s systems and applications is staggering and increasing at a vertiginous rate. Many businesses and entities rely on the analysis and the insights gained from this data to deliver their service. READ MORE

  5. 4. A Study of an Iterative User-Specific Human Activity Classification Approach

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Niklas Fürderer; [2019]
    Keywords : human activity recognition; classification; random forest; xgboost; decision tree; iterative learning approach; user-specific; aktivitetsigenkänning; övervakade klassificerares; random forest; xgboost; beslutsträd; iterativt lärometod; användarspecifik;

    Abstract : Applications for sensor-based human activity recognition use the latest algorithms for the detection and classification of human everyday activities, both for online and offline use cases. The insights generated by those algorithms can in a next step be used within a wide broad of applications such as safety, fitness tracking, localization, personalized health advice and improved child and elderly care. READ MORE