Search results for "Esineiden Internet"
showing 10 items of 61 documents
An Intrusion Detection System for Fog Computing and IoT based Logistic Systems using a Smart Data Approach
2016
The Internet of Things (IoT) is widely used in advanced logistic systems. Safety and security of such systems are utmost important to guarantee the quality of their services. However, such systems are vulnerable to cyber-attacks. Development of lightweight anomaly based intrusion detection systems (IDS) is one of the key measures to tackle this problem. In this paper, we present a new distributed and lightweight IDS based on an Artificial Immune System (AIS). The IDS is distributed in a three-layered IoT structure including the cloud, fog and edge layers. In the cloud layer, the IDS clusters primary network traffic and trains its detectors. In the fog layer, we take advantage of a smart dat…
Towards Seamless IoT Device-Edge-Cloud Continuum:
2021
In this paper we revisit a taxonomy of client-side IoT software architectures that we presented a few years ago. We note that the emergence of inexpensive AI/ML hardware and new communication technologies are broadening the architectural options for IoT devices even further. These options can have a significant impact on the overall end-to-end architecture and topology of IoT systems, e.g., in determining how much computation can be performed on the edge of the network. We study the implications of the IoT device architecture choices in light of the new observations, as well as make some new predictions about future directions. Additionally, we make a case for isomorphic IoT systems in whic…
Attacking TrustZone on devices lacking memory protection
2021
AbstractARM TrustZone offers a Trusted Execution Environment (TEE) embedded into the processor cores. Some vendors offer ARM modules that do not fully comply with TrustZone specifications, which may lead to vulnerabilities in the system. In this paper, we present a DMA attack tutorial from the insecure world onto the secure world, and the design and implementation of this attack in a real insecure hardware.
Insecure Firmware and Wireless Technologies as “Achilles’ Heel” in Cybersecurity of Cyber-Physical Systems
2022
In this chapter, we analyze cybersecurity weaknesses in three use-cases of real-world cyber-physical systems: transportation (aviation), remote explosives and robotic weapons (fireworks pyrotechnics), and physical security (CCTV). The digitalization, interconnection, and IoT-nature of cyber-physical systems make them attractive targets. It is crucial to ensure that such systems are protected from cyber attacks, and therefore it is equally important to study and understand their major weaknesses. peerReviewed
IoT/Embedded vs. Security : Learn from the Past, Apply to the Present, Prepare for the Future
2018
It is expected there will be 50 billion IoT/embedded connected devices by 2020. At the same time, multiple recent studies revealed that IoT/embedded devices and their software/firmware is plagued with weaknesses and vulnerabilities. Moreover, various recent and prominent attacks, such as the Mirai botnet targeting Commercial Off-The-Shelf (COTS) IoT/embedded devices, and the ROCA attack targeting secure embedded hardware chips (in their many form-factors), clearly demonstrate the need to secure the many layers and components of the highly fragmented and heterogeneous ecosystem of IoT/embedded devices. In this paper we aim to explore, discuss and exemplify some research aspects and direction…
Tiny Machine Learning for Resource-Constrained Microcontrollers
2022
We use 250 billion microcontrollers daily in electronic devices that are capable of running machine learning models inside them. Unfortunately, most of these microcontrollers are highly constrained in terms of computational resources, such as memory usage or clock speed. These are exactly the same resources that play a key role in teaching and running a machine learning model with a basic computer. However, in a microcontroller environment, constrained resources make a critical difference. Therefore, a new paradigm known as tiny machine learning had to be created to meet the constrained requirements of the embedded devices. In this review, we discuss the resource optimization challenges of …
Yksilön yksityisyys esineiden internetin ja asiakasdatan näkökulmasta
2018
Esineiden internetin luoma heterogeeninen ympäristö voi aiheuttaa ihmisille useita erilaisia yksityisyysuhkia, koska tiedonkeruu esineiden internetissä on erittäin laajaa ja passiivista. Tiedonkeruu kohdistuu usein yksilöiden henkilökohtaisiin tietoihin, mikä voi olla vahingollista heidän yksityisyydellensä. Yritykset voivat hyödyntää näitä tietoja useilla liiketoimintansa osa-alueilla. Yritysten näkökulmasta esineiden internet luo uusia tehokkaita mahdollisuuksia kerätä ja hyödyntää asiakasdataa, mikä voi vaikuttaa vahvasti yksityisyysuhkien realisoitumiseen. Tämä kandidaatin tutkielma käsittelee esineiden internetin ja asiakasdatan luomia uhkia yksityisyydelle yksilön näkökulmasta. Tutkie…
Authorized authentication evaluation framework for constrained environments
2016
Internetin kasvu ei perustu tällä hetkellä vain uusien solmujen määrään, vaan Internet on levittäytymässä aivan uusille alueille. Viimeaikoina erilaiset tavat kerätä tietoa ja ohjata laitteita uusin tavoin ovat yleistyneet esimerkiksi teollisuudessa, kaupunkiympäristöjen melun ja saasteiden seurannassa. Lisäksi käsitteet älykoti tai -kaupunki alkavat olla yleisesti tunnettuja. Nykyinen kasvu näiden teknologioiden käytössä perustuu pitkälti laitteiden koon pienenemiseen ja hintojen laskuun. Jotta Esineiden Internet pystyy kasvamaan merkittävällä tavalla, laitteiden fyysisten kokojen ja hintojen tulisi pysyä matalalla tasolla tai laskea edelleen. Pieni koko ja hinta tarkoittaa kuitenkin usein…
Anonymization as homeomorphic data space transformation for privacy-preserving deep learning
2021
Industry 4.0 is largely data-driven nowadays. Owners of the data, on the one hand, want to get added value from the data by using remote artificial intelligence tools as services, on the other hand, they concern on privacy of their data within external premises. Ideal solution for this challenge would be such anonymization of the data, which makes the data safe in remote servers and, at the same time, leaves the opportunity for the machine learning algorithms to capture useful patterns from the data. In this paper, we take the problem of supervised machine learning with deep feedforward neural nets and provide an anonymization algorithm (based on the homeomorphic data space transformation),…
Teollisen Internetin turvallisuus : Raspberry Pi kokeellisen palvelunestohyökkäyksen kohteena
2016
Teollinen Internet on yksi tämän hetken nopeiten kehittyvistä ja yleistyvistä teknologioista. Monimuotoisuutensa vuoksi sen on arveltu yleistyvän lähes kaikkeen arjen elektroniikkaan seuraavien kymmenen vuoden aikana. Turvallisuus on yksi tietoja viestintäteknologian suurimmista ongelmista. Uudet teknologiat tuovat mukanaan uusia turvallisuusongelmia, eikä teollinen Internet ole tässä suhteessa poikkeus. Tässä työssä tutkittiin teollisen Internetin turvallisuusuhkia testausympäristössä käyttäen Raspberry Pi:tä, joka on yksi tehokkaimpia ja yksinkertaisimpia laitteita teollisen Internetin tuottamiseen. Jyväskylän yliopiston tietoliikennelaboratorioon pystytettiin testausympäristö, jossa koke…