Study and Modeling of the Server Application for Monitoring Embedded Systems of Vehicle Fleet in Agribusiness

2012 ◽  
Author(s):  
Daniel Mezzalira ◽  
Luis C. Trevelin
Keyword(s):  
Embedded Systems ◽  
Vehicle Fleet ◽  
Server Application

Development of embedded systems to control toxic compounds in textile industries

2012 ◽  
Vol 1 (5) ◽  
pp. 115-117
Author(s):  
Jahnavi KRM Jahnavi KRM ◽  
◽  
Raghavendra Rao K ◽  
Padma Suvarna R
Keyword(s):  
Embedded Systems ◽  
Toxic Compounds ◽  
Textile Industries

Proposal and Evaluation of Mutual Exclusion Method using Lock-free Algorism for Embedded Systems using Multi-core Processor

2019 ◽  
Vol 139 (7) ◽  
pp. 802-811
Author(s):  
Kenta Fujimoto ◽  
Shingo Oidate ◽  
Yuhei Yabuta ◽  
Atsuyuki Takahashi ◽  
Takuya Yamasaki ◽  
...  
Keyword(s):  
Embedded Systems ◽  
Mutual Exclusion ◽  
Exclusion Method ◽  
Multi Core Processor

Towards Okinawa-style Robot-embedded Systems

2013 ◽  
Vol 133 (2) ◽  
pp. 111-115 ◽  
Author(s):  
Takashi Anezaki ◽  
Suriyon Tansuriyavong ◽  
Chikatoshi Yamada
Keyword(s):  
Embedded Systems

HULK and DDoS Attacks in Web Applications with Detection Mechanism

2018 ◽  
Vol 6 (6) ◽  
pp. 192
Author(s):  
Amit Sharma
Keyword(s):  
Web Applications ◽  
Denial Of Service ◽  
Single Server ◽  
Distributed Denial Of Service ◽  
Ddos Attacks ◽  
Application Layer ◽  
Detection Mechanism ◽  
Plan Execution ◽  
Social Affair ◽  
Server Application

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.

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