Confidence-aware collaborative detection mechanism for false data attacks in smart grids

2021 ◽  
Author(s):  
Zhuoqun Xia ◽  
Gaohang Long ◽  
Bo Yin
2021 ◽  
Vol 2021 ◽  
pp. 1-19
Author(s):  
Hassan Mahmood ◽  
Danish Mahmood ◽  
Qaisar Shaheen ◽  
Rizwan Akhtar ◽  
Wang Changda

Information Communication Technology (ICT) environment in traditional power grids makes detection and mitigation of DDoS attacks more challenging. Existing security technologies, besides their efficiency, are not adequate to cater to DDoS security in Smart Grids (SGs) due to highly distributed and dynamic network environments. Recently, emerging Software Defined Networking- (SDN-) based approaches are proposed by researchers for SG’s DDoS protection; however, they are only able to protect against flooding attacks and are dependent on static thresholds. The proposed approach, i.e., Software Defined Networking-based DDoS Protection System (S-DPS), is efficiently addressing these issues by employing light-weight Tsallis entropy-based defense mechanisms using SDN environment. It provides early detection mechanism with mitigation of anomaly in real time. The approach offers the best deployment location of defense mechanism due to the centralized control of network. Moreover, the employment of a dynamic threshold mechanism is making detection process adaptive to the changing network conditions. S-DPS has demonstrated its effectiveness and efficiency in terms of Detection Rate (DR) and minimal CPU/RAM utilization, considering DDoS protection focusing smurf attacks, socket stress attacks, and SYN flood attacks.


Author(s):  
Patricio G. Donato ◽  
Alvaro Hernandez ◽  
Marcos A. Funes ◽  
Ignacio Carugati ◽  
Ruben Nieto ◽  
...  

Author(s):  
Amit Sharma

Distributed Denial of Service attacks are significant dangers these days over web applications and web administrations. These assaults pushing ahead towards application layer to procure furthermore, squander most extreme CPU cycles. By asking for assets from web benefits in gigantic sum utilizing quick fire of solicitations, assailant robotized programs use all the capacity of handling of single server application or circulated environment application. The periods of the plan execution is client conduct checking and identification. In to beginning with stage by social affair the data of client conduct and computing individual user’s trust score will happen and Entropy of a similar client will be ascertained. HTTP Unbearable Load King (HULK) attacks are also evaluated. In light of first stage, in recognition stage, variety in entropy will be watched and malevolent clients will be recognized. Rate limiter is additionally acquainted with stop or downsize serving the noxious clients. This paper introduces the FAÇADE layer for discovery also, hindering the unapproved client from assaulting the framework.


2018 ◽  
Author(s):  
Yong Cao ◽  
Mark T. McDermott

<div> <div> <div> <p>Quantitative measurement of small-molecule metabolites is now emerging as an effective way to link the metabolite profile to disease state. Surface plasmon resonance (SPR) is a sensing platform that has demonstrated applicability for a large range of biomolecules. However, direct detection of small molecules with SPR challenges the refractive index based detection mechanism. Herein, we utilized an indirect detection format and developed an inhibition immunoassay for the quantitative measurement of 17β-estradiol (E2) using SPR. One competitor, BSA-E2 conjugate, was immobilized to the SPR chip via the reaction between the primary amino group of the conjugate and the succinimide group (NHS) introduced by the formation of a thiol-NHS monolayer on gold surface. Free E2 molecules compete with BSA-E2 on chip surface for binding sites provided by a monoclonal anti-E2 antibody. It was found the binding affinity of the antibody to BSA-E2 conjugate increases with decreasing surface coverage of BSA-E2 conjugate. Under optimal conditions, a sigmoidal calibration curve with a negative slope and a dynamic range from 10 pM to 2 nM was generated. The detection limit of the immunoassay is estimated to be 0.3 pM. Moreover, the immunoassay exhibits high specificity for E2 detection using estrone (E1) as a potential interference.</p></div></div></div>


2016 ◽  
Vol 12 (1) ◽  
Author(s):  
R. Herrera ◽  
L. Herrera
Keyword(s):  

Las smart grids han sido concebidas como la combinación de la red eléctrica tradicional (generación, transmisión, distribución, y comercialización, incluyendo las energías alternativas) con las redes de comunicaciones electrónicas. Este concepto revoluciona la administración, supervisión, y mantenimiento de la red eléctrica, volviéndola inteligente ante sobrecargas, caídas, apagones, caídas de tensión disminuyendo los tiempos de respuesta ante estos problemas. En este trabajo se analizan las tecnologías de redes de datos y comunicaciones electrónicas implicadas en este nuevo concepto de gestión eficiente de la electricidad. En la primera sección se abordan conceptos introductorios para entender las diferencias entre las redes eléctricas tradicionales y las smart grids, luego se realiza un análisis de las arquitecturas y requerimientos de diseño de una smart grid, para en la siguiente sección elaborar una revisión de las tecnologías de comunicaciones actualmente usadas en smart grids, para finalmente analizar los retos de diseño, líneas de investigación y estandarización actuales en las tecnologías de smart grids. En la última sección se anexan las conclusiones de la realización de este trabajo.


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