With improvement in computing and technological advancements, web-based applications are now ubiquitous on the Internet. However, these web applications are becoming prone to vulnerabilities which have led to theft of confidential information, data loss, and denial of data access in the course of information transmission. Cross-site scripting (XSS) is a form of web security attack which involves the injection of malicious codes into web applications from untrusted sources. Interestingly, recent research studies on the web application security centre focus on attack prevention and mechanisms for secure coding; recent methods for those attacks do not only generate high false positives but also have little considerations for the users who oftentimes are the victims of malicious attacks. Motivated by this problem, this paper describes an "intelligent" tool for detecting cross-site scripting flaws in web applications. is paper describes the method implemented based on fuzzy logic to detect classic XSS weaknesses and to provide some results on experimentations. Our detection framework recorded 15% improvement in accuracy and 0.01% reduction in the false-positive rate which is considerably lower than that found in the existing work by Koli et al. Our approach also serves as a decision-making tool for the users.
This paper presents the design and analysis of microchip equipped car number plate integrated with GPS car tracking system. A Microchipped car number plate is a technology where chips are embedded on number plates. The microchip can store data of the car owner, including registration details, chassis number and other necessary road traffic details and the car can be scanned from distance using chipreaders. The information on the plates can be used to quickly pick up vehicles which are on the road illegally. It can also help to eliminate vehicle theft, detect unlicensed and uninsured vehicles, and allow road traffic officer or law enforcement agent to trace and follow any vehicle without the need for this officer's car to be within miles. UPPAAL is used for the design and analysis of microchip equipped car number plate integrated. The model-checker UPPAAL based on the theory of timed automata and its modelling language offers additional features such as bounded integer variables and urgency. Results of our model show quick synchronisation of data captured from GPS tracking device and chip-readers. We note, however, that many numbers of states are covered in the modelling which caused delays in early termination and reachability analysis of the model as potential limitation of our proposed system.
This work was carried out in collaboration between both authors. Author BKA designed the system, performed the simulation of cloud based aircraft FDR, wrote the first draft of the manuscript and managed literature searches. Author SOY managed the analyses of the simulation and literature searches. Both authors read and approved the final manuscript.
Round-Robin (RR) is one of the algorithms mostly used in time sharing system and in network scheduling. Time slices are assigned to each process in equal portions and in circular order handling all processes without priority. Round Robin algorithm requires some parameter such as arrival time, burst time and quantum time which enables the scheduler to predict the behavior of possible processes. Prior to the execution of a process, the burst time is not known. This paper proposed a more improvement in the Round Robin CPU scheduling algorithm by improving the algorithm of Anju et. al. where burst time is determined using an initial time quantum. However, the improved algorithm determines burst time using instruction count in each of the process and by experimental analysis. This proposed algorithm performs better than Dynamic Time Slice Round Robin Scheduling Algorithm with Unknown Burst Time in terms of minimizing average waiting time, average turnaround time and number of context switches.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.