What's in a conversation? Addressing the impact of web applications on associate-customer conversations

2003 ◽  
Author(s):  
Jennifer A. Al-Safar ◽  
Merrill J. Zavod ◽  
Ann C. Fulop
Keyword(s):  
Web Applications ◽  
The Impact

Efficient Fault Tolerance on Cloud Environments

2018 ◽  
Vol 8 (3) ◽  
pp. 20-31 ◽  
Author(s):  
Sam Goundar ◽  
Akashdeep Bhardwaj
Keyword(s):  
Fault Tolerance ◽  
Web Applications ◽  
Fault Tolerant ◽  
Cloud Services ◽  
Level Of Service ◽  
Cloud Environments ◽  
Computing Environments ◽  
Service Assurance ◽  
Mission Critical ◽  
The Impact

With mission critical web applications and resources being hosted on cloud environments, and cloud services growing fast, the need for having greater level of service assurance regarding fault tolerance for availability and reliability has increased. The high priority now is ensuring a fault tolerant environment that can keep the systems up and running. To minimize the impact of downtime or accessibility failure due to systems, network devices or hardware, the expectations are that such failures need to be anticipated and handled proactively in fast, intelligent way. This article discusses the fault tolerance system for cloud computing environments, analyzes whether this is effective for Cloud environments.

Integration of Web Analytics into Graduate Medical Education: Usability Study (Preprint)

2021 ◽  
Author(s):  
Jackson Massanelli ◽  
Kevin W Sexton ◽  
Chris T Lesher ◽  
Hanna K Jensen ◽  
Mary K Kimbrough ◽  
...  
Keyword(s):  
Medical Education ◽  
Graduate Medical Education ◽  
Web Applications ◽  
Group Analysis ◽  
User Engagement ◽  
Web Analytics ◽  
Graduate Medical ◽  
Main Page ◽  
Session Duration ◽  
The Impact

BACKGROUND Web analytics is the measurement, collection, analysis, and reporting of websites’ and web applications’ usage data. While common in the e-commerce arena, web analytics are underutilized in graduate medical education. OBJECTIVE The UAMS Department of Surgery website was revamped with input from in-house surgeons in August 2017. This study investigated the use of web analytics to gauge the impact of our department’s website redesign project. METHODS Google Analytics software was used to measure website performance before and after implementation of the new website. Eight-month matched periods were compared. Factors tracked included total users, new users, total sessions, sessions per user, pages per session, average session duration, total page views, and bounce rate (the percentage of visitors who visit a site then leave [i.e. bounce] without continuing to another page on the same site). RESULTS Analysis using a non-paired Student’s t-test demonstrated a statistically significant increase for total page views (33,065 vs 81,852; p<0.0001) and decrease for bounce rate (50.70% vs 0.23%; p<0.0001). Total users, new users, total sessions, sessions per user, and pages per sessions showed improvement; average session duration was unchanged. Sub-group analysis showed that after the main page, the next three most frequently visited pages relate to GME programs in our department. CONCLUSIONS Web analytics are practical measures of a website’s efficacy. Our data suggest that a modern website significantly improves user engagement. An up-to-date website is essential for contemporary GME recruitment, will likely enhance engagement of residency applicants with our GME programs, and warrants further investigation.

scholarly journals Designing a XSS Defensive Framework for Web Servers Deployed in the Existing Smart City Infrastructure

2020 ◽  
Vol 32 (4) ◽  
pp. 85-111
Author(s):  
Brij B. Gupta ◽  
Pooja Chaudhary ◽  
Shashank Gupta
Keyword(s):  
Smart City ◽  
Web Application ◽  
Web Applications ◽  
Web Pages ◽  
Web Servers ◽  
City Environment ◽  
Dynamic Web ◽  
Attack Mitigation ◽  
The Impact ◽  
The Internet Of Things

Cross-site scripting is one of the notable exceptions effecting almost every web application. Hence, this article proposed a framework to negate the impact of the XSS attack on web servers deployed in one of the major applications of the Internet of Things (IoT) i.e. the smart city environment. The proposed framework implements 2 approaches: first, it executes vulnerable flow tracking for filtering injected malicious scripting code in dynamic web pages. Second, it accomplished trusted remark generation and validation for unveiling any suspicious activity in static web pages. Finally, the filtered and modified webpage is interfaced to the user. The prototype of the framework has been evaluated on a suite of real-world web applications to detect XSS attack mitigation capability. The performance analysis of the framework has revealed that this framework recognizes the XSS worms with very low false positives, false negatives and acceptable performance overhead as compared to existent XSS defensive methodologies.

Methods of generating test data for carrying out the fuzzing process

2019 ◽  
Vol 0 (9/2019) ◽  
pp. 27-32
Author(s):  
Marcin Pachnik
Keyword(s):  
Test Data ◽  
Web Applications ◽  
Software Security ◽  
Local Network ◽  
Security Testing ◽  
Fuzz Testing ◽  
Modern Methods ◽  
Automatic Software ◽  
The Impact

The article presents and compares modern methods of generating test data in the process of automatic software security testing, so called fuzz testing. The publication contains descriptions of methods used, among others, in local, network or web applications, and then compares them and evaluates their effectiveness in the process of ensuring software security. The impact of the quality of test data corpus on the effectiveness of automated security testing has been assessed.

scholarly journals Analysis of the possibilities of optimizing SQL queries

2021 ◽  
Vol 19 ◽  
pp. 151-158
Author(s):  
Piotr Rymarski ◽  
Grzegorz Kozieł
Keyword(s):  
Relational Database ◽  
Web Applications ◽  
Query Language ◽  
Database Systems ◽  
Sql Server ◽  
Management Systems ◽  
Relational Database Systems ◽  
The Impact ◽  
Relational Database Management ◽  
Test Scenarios

Most of today's web applications run on relational database systems. Communication with them is possible through statements written in Structured Query Language (SQL). This paper presents the most popular relational database management systems and describes common ways to optimize SQL queries. Using the research environment based on fragment of the imdb.com database, implementing OracleDb, MySQL, Microsoft SQL Server and PostgreSQL engines, a number of test scenarios were performed. The aim was to check the performance changes of SQL queries resulting from syntax modication while maintaining the result, the impact of database organization, indexing and advanced mechanisms aimed at increasing the eciency of operations performed, delivered in the systems used. The tests were carried out using a proprietary application written in Java using the Hibernate framework.

scholarly journals Evaluating the Impact of Malware Analysis Techniques for Securing Web Applications through a Decision-Making Framework under Fuzzy Environment

2020 ◽  
Vol 13 (6) ◽  
pp. 94-109
Author(s):  
Rajeev Kumar ◽  
◽  
Mamdouh Alenezi ◽  
Md Ansari ◽  
Bineet Gupta ◽  
...  
Keyword(s):  
Decision Making ◽  
Web Application ◽  
Communication Systems ◽  
Web Applications ◽  
Fuzzy Ahp ◽  
Cyber Attacks ◽  
Malware Analysis ◽  
Analysis Techniques ◽  
The Impact ◽  
The Web

Nowadays, most of the cyber-attacks are initiated by extremely malicious programs known as Malware. Malwares are very vigorous and can penetrate the security of information and communication systems. While there are different techniques available for malware analysis, it becomes challenging to select the most effective approach. In this context, the decision-making process may be an efficient means of empirically assessing the impact of different methods for securing the web applications. In this research study, we have used a methodology that includes the integration of Fuzzy AHP and Fuzzy TOPSIS technique for evaluating the impact of different malware analysis techniques in web application perspective. This study uses different versions of a university’s web application for evaluating the impact of several existing malware analysis techniques. The findings of the study show that the Reverse Engineering approach is the most efficient technique for analyzing complex malware. The outcome of this study would definitely aid the future researchers and developers in selecting the appropriate techniques for scanning the web application code and enhancing the security.

Ripple Effect in Web Applications

2012 ◽  
pp. 97-111
Author(s):  
Nashat Mansour ◽  
Nabil Baba
Keyword(s):  
Web Application ◽  
Impact Analysis ◽  
Web Applications ◽  
Ripple Effect ◽  
Change Impact Analysis ◽  
Local Modification ◽  
Change Impact ◽  
The Stability ◽  
The Impact ◽  
The Web

The number of internet web applications is rapidly increasing in a variety of fields and not much work has been done for ensuring their quality, especially after modification. Modifying any part of a web application may affect other parts. If the stability of a web application is poor, then the impact of modification will be costly in terms of maintenance and testing. Ripple effect is a measure of the structural stability of source code upon changing a part of the code, which provides an assessment of how much a local modification in the web application may affect other parts. Limited work has been published on computing the ripple effect for web application. In this paper, the authors propose, a technique for computing ripple effect in web applications. This technique is based on direct-change impact analysis and dependence analysis for web applications developed in the .Net environment. Also, a complexity metric is proposed to be included in computing the ripple effect in web applications.

Ripple Effect in Web Applications

2010 ◽  
Vol 5 (2) ◽  
pp. 1-15
Author(s):  
Nashat Mansour ◽  
Nabil Baba
Keyword(s):  
Web Application ◽  
Impact Analysis ◽  
Web Applications ◽  
Dependence Analysis ◽  
Ripple Effect ◽  
Local Modification ◽  
Change Impact ◽  
The Stability ◽  
The Impact ◽  
Direct Change

The number of internet web applications is rapidly increasing in a variety of fields and not much work has been done for ensuring their quality, especially after modification. Modifying any part of a web application may affect other parts. If the stability of a web application is poor, then the impact of modification will be costly in terms of maintenance and testing. Ripple effect is a measure of the structural stability of source code upon changing a part of the code, which provides an assessment of how much a local modification in the web application may affect other parts. Limited work has been published on computing the ripple effect for web application. In this paper, the authors propose, a technique for computing ripple effect in web applications. This technique is based on direct-change impact analysis and dependence analysis for web applications developed in the .Net environment. Also, a complexity metric is proposed to be included in computing the ripple effect in web applications.

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