A recent study outlines a range of privacy concerns related to the programs that users interact with when using Amazon's voice-activated assistant, Alexa. Issues range from misleading privacy policies to the ability of third-parties to change the code of their programs after receiving Amazon approval.
Cyber-physical systems (CPS), which combine modern networking with physical actuators, can be vulnerable against hackers. Recently, researchers at DGIST developed a new framework for CPSs that is resilient to a sophisticated kind of cyberattack. Unlike existing solutions, the proposed approach allows for real-time detection and recovery from the attack while ensuring stable operation. This paves the way for secure and reliable CPSs across various application domains, such as smart cities and unmanned public transportation.
In a potential boost for quantum computing and communication, a European research collaboration reported a new method of controlling and manipulating single photons without generating heat. The solution makes it possible to integrate optical switches and single-photon detectors in a single chip.
This new tool uses an artificial intelligence system to generate fake documents that foil IP theft by fooling adversaries
Researchers have developed a tool to identify security and privacy risks associated with COVID-19 contact tracing apps.
With the voice commands "Alexa Skills," users can load numerous extra functions onto their Amazon voice assistant. However, these Skills can often have security gaps and data protection problems, as researchers from Germany and the USA report.
Smart agriculture is set to revolutionize food production in the next few decades. However, the integration of information technology in agricultural processes also brings security and privacy concerns. In a new survey published in IEEE/CAA Journal of Automatica Sinica, scientists discuss these challenges and propose countermeasures applicable to different areas of agricultural production. They also provide guidance for future research, suggesting key areas of focus in the ever-growing field of smart agriculture.
A recent study shows how, from location data, apps can retrieve a wide range of personal information about users, including their health, socio-economic status, ethnicity and religion.
The study describes the technological and scientific challenges for the improvement and implementation of these systems.
A University of Vaasa researcher, Klaus Grobys, investigates how the uncertainty in the Bitcoin market reacts if Bitcoin is subject to hacking incidents - or so-called cyberattacks. The study finds two effects on Bitcoin volatility - an immediate effect and a delayed effect. The proposed model could potentially serve as a tool for investors that are active in the derivative market for cryptocurrencies.