S
Sasu Tarkoma
Researcher at University of Helsinki
Publications - 400
Citations - 7944
Sasu Tarkoma is an academic researcher from University of Helsinki. The author has contributed to research in topics: Computer science & Mobile computing. The author has an hindex of 39, co-authored 355 publications receiving 6397 citations. Previous affiliations of Sasu Tarkoma include Helsinki University of Technology & Nokia.
Papers
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Proceedings ArticleDOI
IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT
Markus Miettinen,Samuel Marchal,Ibbad Hafeez,Tommaso Frassetto,Nadarajah Asokan,Ahmad-Reza Sadeghi,Sasu Tarkoma +6 more
TL;DR: IoT Sentinel is presented, a system capable of automatically identifying the types of devices being connected to an IoT network and enabling enforcement of rules for constraining the communications of vulnerable devices so as to minimize damage resulting from their compromise.
Journal ArticleDOI
Theory and Practice of Bloom Filters for Distributed Systems
TL;DR: An overview of the basic and advanced probabilistic techniques is given, reviewing over 20 variants and discussing their application in distributed systems, in particular for caching, peer-to-peer systems, routing and forwarding, and measurement data summarization.
Proceedings ArticleDOI
Accelerometer-based transportation mode detection on smartphones
TL;DR: The primary contributions of this work are an improved algorithm for estimating the gravity component of accelerometer measurements, a novel set of accelerometers that are able to capture key characteristics of vehicular movement patterns, and a hierarchical decomposition of the detection task.
Journal ArticleDOI
A gap analysis of Internet-of-Things platforms
TL;DR: A gap analysis of the current IoT landscape aims to highlight the deficiencies of today's solutions to improve their integration to tomorrow's ecosystems and concludes with a list of recommendations for extending these IoT platforms in order to fill in the gaps.
Journal ArticleDOI
Security and Privacy in Device-to-Device (D2D) Communication: A Review
TL;DR: This paper presents an extensive review of the state-of-the-art solutions for enhancing security and privacy in D2D communication and identifies lessons to be learned from existing studies and derive a set of “best practices.”