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CrySyS dataset of CAN traffic logs containing fabrication and masquerade attacks

Our paper introducing a new CAN dataset is now available in Nature: Scientific Data.
The dataset contains 26 recordings of benign network traffic, amounting to more than 2.5 hours of traffic. We performed two attacks (injection and modification) with different configurations multiple times on each benign trace to create a comprehensive set of traffic logs. The dataset structure was explicitly designed with machine learning applications in mind.

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The MELLODDY Project from a Privacy Point of View

In MELLODDY, several of the world’s largest pharmaceutical companies aim to leverage each other’s data by jointly training a multi-task machine learning model for drug discovery without compromising data privacy (or confidentiality). In this blog post, we are going to explain how this data is safeguarded. This article has been originally published on MELLODDY’s website.

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SIMBIoTA: Similarity-Based Malware Detection for the Internet of Things

CrySyS Lab researchers developed a new anti-virus solution running on resource constrained embedded IoT devices.

Embedded devices connected to the Internet are threatened by malware, but no anti-virus product is available for them. Anti-virus products developed for traditional IT systems have higher resource needs than that offered by embedded IoT devices. The required amount of free storage space and memory to run these products is often measured in gigabytes, which exceeds the capacity of typical IoT devices, such as WiFi routers, IP cameras, smart house hold appliances, wearable devices, etc. In addition, many existing anti-virus products do not even support the operating systems (typically some embedded Linux or some more exotic OS) used on IoT devices. Therefore, they could not be installed, even if a particular IoT device met their system requirements.

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Félidőnél tart a SETIT projekt

Buttyán Levente, BME
Ferenc Rudolf és Nagy Gábor Péter, SZTE
Huszti Andrea, DE

Az Internet ma már több beágyazott eszközt köt össze, mint hagyományos PC-t és szervert. A beágyazott eszközökkel kiterjesztett Internetet nevezzük Internet-of-Things-nek, vagy röviden IoT-nek. Az IoT számos alkalmazási területen biztosíthatja az új megoldások és a dinamikus fejlődés lehetőségét. IoT technológiákat használva otthonainkat okos otthonokká, városainkat okos városokká, gyárainkat okos gyárakká, és közlekedési rendszereinket intelligens közlekedési rendszerekké alakíthatjuk. Mindez azonban alakulhat máshogyan is, ha nem gondoskodunk arról, hogy az a technológia, amire a jövőnket építjük, kellően biztonságos és megbízható legyen. „Okos” otthonaink személyes szokásaink és adataink kiszivárogtatójává, „okos” városaink és „intelligens” közlekedési rendszereink masszív megfigyelési platformmá válhatnak.

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