Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Adrian Sanchez-Mompo"'
Autor:
Ioannis Mavromatis, Adrian Sanchez-Mompo, Francesco Raimondo, James Pope, Marcello Bullo, Ingram Weeks, Vijay Kumar, Pietro Carnelli, George Oikonomou, Theodoros Spyridopoulos, Aftab Khan
Data integrity becomes paramount as the number of Internet of Things (IoT) sensor deployments increases. Sensor data can be altered by benign causes or malicious actions. Mechanisms that detect drifts and irregularities can prevent disruptions and da
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7a7f82778fbffae83edf4a38e6d91321
Autor:
Thomas Pasquier, Francesco Raimondo, Theodoros Spyridopoulos, Adrian Sanchez-Mompo, Bo Luo, James Pope, Pietro E. Carnelli, Ioannis Mavromatis, Robert J. Piechocki, Ryan McConville, Dan Howarth, Vijay Kumar, George Oikonomou, Aftab Khan
Publikováno v:
SenSys
Pope, J, Raimondo, F, Kumar, V, McConville, R, Piechocki, R J, Oikonomou, G, Paquier, T, Luo, B, Howarth, D, Mavromatis, I, Carnelli, P E, Sanchez-Mompo, A, Spyridopoulos, T & Khan, A 2021, ' Container Escape Detection for Edge Devices ', Paper presented at 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, 15/11/21-17/11/21 pp. 532-536 . https://doi.org/10.1145/3485730.3494114
Pope, J, Raimondo, F, Kumar, V, McConville, R, Piechocki, R J, Oikonomou, G, Paquier, T, Luo, B, Howarth, D, Mavromatis, I, Carnelli, P E, Sanchez-Mompo, A, Spyridopoulos, T & Khan, A 2021, ' Container Escape Detection for Edge Devices ', Paper presented at 19th ACM Conference on Embedded Networked Sensor Systems, Coimbra, Portugal, 15/11/21-17/11/21 pp. 532-536 . https://doi.org/10.1145/3485730.3494114
Edge computing is rapidly changing the IoT-Cloud landscape. Various testbeds are now able to run multiple Docker-like containers developed and deployed by end-users on edge devices. However, this capability may allow an attacker to deploy a malicious
Publikováno v:
EIT
With the increase of global demand for food and with the adoption of the trends of local sourcing and locally grown produce, the need for gardening and farming automation solutions ranging from industrial to home level has been on the rise. In this p
Publikováno v:
Data in Brief, Vol 49, Iss , Pp 109334- (2023)
A dataset of body tracking information is presented. The dataset consists of 315 captured walking sequences. Each sequence is simultaneously captured by two Azure Kinect devices. The two captures are interleaved to effectively double the frame rate.
Externí odkaz:
https://doaj.org/article/849cc5c2c8b740339cf530adb6ffa60f