Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Igor Khokhlov"'
Autor:
Igor Khokhlov, Leon Reznik
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 776, Iss 20, Pp 154-160 (2017)
Vast spreading of Android-based devices with embedded diverse sensors make them popular platforms for data collection in various research domains. However, Android OS complexity and vulnerabilities may facilitate sensor data manipulation and falsific
Externí odkaz:
https://doaj.org/article/774c18fe2e0f4022b62b02a38549d1ce
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 776, Iss 20, Pp 161-168 (2017)
Tremendous growth of a number of mobile devices and amount of data produced by sensors embedded therein requires new approaches to sensor data management. The main feature of the novel approach proposed in this paper includes an assignment of securit
Externí odkaz:
https://doaj.org/article/4274a851009e4dda8324050ba9c0d2a3
Autor:
Ahmet Okutan, Peter Mell, Mehdi Mirakhorli, Igor Khokhlov, Joanna C. S. Santos, Danielle Gonzalez, Steven Simmons
Publikováno v:
IEEE Transactions on Software Engineering. 49:3241-3260
Publikováno v:
2022 IEEE Sensors.
Publikováno v:
2022 IEEE Sensors.
Publikováno v:
2022 IEEE 29th Annual Software Technology Conference (STC).
Publikováno v:
2022 International Joint Conference on Neural Networks (IJCNN).
Publikováno v:
IEEE Systems Journal. 15:2058-2065
Data quality (DQ) concept should play an important role in decision-making and engineering systems. Underestimation of DQ may lead to resource waste, wrong conclusions, or inefficient decisions. Unfortunately, current approaches to DQ incorporating i
Publikováno v:
IEEE Sensors Letters. 4:1-4
Multiple sensors are incorporated in modern mobile devices. The ubiquity of these mobile devices with a wide range of embedded sensors enables developing new types of sensor networks and novel applications. However, more often than not, users are una
Publikováno v:
SMDS
Autonomous vehicles group’s security and safety improvement and assurance is a challenging research problem. In this paper, we describe our smart data-oriented security service, which is aimed at detecting malfunctioning or malicious agents based o