Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Ali Sayghe"'
Autor:
Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos, XiaoRui Liu, Raj Gautam Dutta, Yier Jin, Charalambos Konstantinou
Publikováno v:
IET Smart Grid (2020)
Over the last decade, the number of cyber attacks targeting power systems and causing physical and economic damages has increased rapidly. Among them, false data injection attacks (FDIAs) are a class of cyber-attacks against power grid monitoring sys
Externí odkaz:
https://doaj.org/article/3f6b7f560d0243d1aa1f5935ba4a25a9
This paper presents a suite of algorithms for detecting and localizing attacks in cyber-physical systems, and performing improved resilient state estimation through a pruning algorithm. High performance rates for the underlying detection and localiza
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ef6866fabd388cb8c7b9e5e49420c5f
https://doi.org/10.36227/techrxiv.17032898.v1
https://doi.org/10.36227/techrxiv.17032898.v1
Publikováno v:
2020 IEEE Power & Energy Society General Meeting (PESGM).
Cyberattacks against critical infrastructures, including power systems, are increasing rapidly. False Data Injection Attacks (FDIAs) are among the attacks that have been demonstrated to be effective and have been getting more attention over the last
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84054a78424f66374edf8dded67cd0c3
https://doi.org/10.1109/pesgm41954.2020.9281719
https://doi.org/10.1109/pesgm41954.2020.9281719
Publikováno v:
ISGT
The number of cyber-attacks targeting power system infrastructures is increasing at an alarming rate. Among them, False Data Injection Attacks (FDIAs) can disturb the normal operation of state estimation routines in power systems and potentially lead
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59a3e86a4c815ec9ab7b8f1ccf421c0d
https://doi.org/10.1109/isgt45199.2020.9087789
https://doi.org/10.1109/isgt45199.2020.9087789
Autor:
Ali Sayghe, Charalambos Konstantinou, Donglin Cai, XiaoRui Liu, Christian Barth, Reza Arghandeh
Publikováno v:
2019 SoutheastCon.
This paper presents a low cost end-to-end and open-source urban sensor node, called UrbanBox, which is based on the concept of the Internet of Things (IoT). Through the sensing platform made by multiple UrbanBox nodes, users can collect, visualize, a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::259a5fad79fcadaa953336b187d4a7b4
https://doi.org/10.1109/southeastcon42311.2019.9020539
https://doi.org/10.1109/southeastcon42311.2019.9020539