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                  <text>VOL. 12 NO. 1 (2023) MARCH 2023</text>
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                <text>Comparative Analysis on the Evaluation of the Complexity of C, C++, Java, PHP and Python Programming Languages based on Halstead Software Science</text>
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                <text>Code Complexity, Complexity Evaluation, Halstead&#13;
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                <text>Quality plays center stage in any software&#13;
development industry. Software metrics have proven over time as&#13;
the best measure to be used to assess and assure the software&#13;
developers of the quality of their products. Halstead software&#13;
science is an essential technique for measuring software&#13;
complexity at the source code. In this study, we present a&#13;
comparative study using this technique to help the developer by&#13;
evaluating the code complexity by considering the structural&#13;
composition of a programming language. In this study, an&#13;
experiment was done using Halstead metrics to evaluate the&#13;
complexity of PHP, C++, Java, C and Python programming&#13;
languages. This study demonstrate that Halstead gives a better&#13;
approach in evaluating the level of complexity of programming&#13;
languages at source code level. The results showed that C++ and&#13;
Java are the most complex programming languages while Python&#13;
was the least complex warranting less of the programmer's time&#13;
and effort when developing a similar project. These findings can&#13;
be used by the software developers to make decisions on the&#13;
programming language to adopt when they want to come up with&#13;
less complex software of high quality. In the future, the&#13;
researchers will advance the study to incorporate other software&#13;
paradigms and also modify the technique to capture also inter&#13;
and intra-modular structural complexity of the various&#13;
programming languages.</text>
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                <text>Kevin Agina Onyango, Geoffrey Wambugu Mariga</text>
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            <description>A related resource from which the described resource is derived</description>
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                <text>www.ijcit.com</text>
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                <text>peri irawan</text>
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                <text>Development of Content Security Policy Detectionand Reporting Web &#13;
 Application</text>
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                <text>Keywords-Content Security Policy, Features/Permission Policy,&#13;
Web Application Security.</text>
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                <text>Abstract—Attacks detection and prevention is becoming&#13;
progressively challenging, in Web Application. The Web&#13;
Applications requisite attack detection interface that can check&#13;
about the services, analyzed obviate studies, and perform real&#13;
time monitoring to secure the web applications. There are&#13;
esteemed threats use for data hack and website defacement such&#13;
as XSS (Cross-Site Scripting), XSRF (Cross-Ste Request&#13;
Forgery), XEE (XML External Entity), Code Injections,&#13;
DOS(Denial of Services) etc. The number of XSS has been&#13;
increasing with high intensity, so it is compulsory to develop&#13;
solutions that can detect and report attacks as well as analyze for&#13;
prevention of modern web applications. Based on this situation&#13;
this paper proposed a method which is Content Security Policy&#13;
for detection and reporting vulnerable web applications. Content&#13;
Security Policy also prevents the exploitation of cross-site&#13;
scripting vulnerabilities.</text>
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                <text>Mahwish Naz</text>
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                <text>peri irawan</text>
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            <description>A language of the resource</description>
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            <name>Title</name>
            <description>A name given to the resource</description>
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                <text>Evaluation of Phishing Attack Strategies on Mobile Device Users</text>
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                <text>– Phishing, attacks, mobile devices</text>
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            <name>Description</name>
            <description>An account of the resource</description>
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                <text>Phishing is one of the most common types of&#13;
hostile internet attacks, which are on the rise on a daily&#13;
basis. Phishing is a deliberate act that uses deception to&#13;
trick unsuspecting individuals into disclosing their personal&#13;
information online. Phishing attacks change in size and&#13;
shape over time as they all have unique characteristics.&#13;
Therefore, this paper attempts to evaluate phishing attack&#13;
strategies on mobile device users by taking into account new&#13;
techniques such as phishing attacks on videoconferencing&#13;
services, SMS, voice calls, emails, and social media. The&#13;
study also carried out a survey with the use of a&#13;
questionnaire (via google form) to gather data from 122&#13;
mobile device users across Nigeria to elicit their awareness&#13;
and experience, as well as responses to phishing attacks.&#13;
The aim of this paper is to bring to light, phishing attacks&#13;
techniques targeted at mobile device users, to sensitize the&#13;
populace and provide information on how to avoid them.</text>
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            <description>An entity primarily responsible for making the resource</description>
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                <text>Adekola A. Ajayi , Michael Segun Olajide, Oluwagboyega Peter Afolabi, Oladoyin Anthony Abiodun</text>
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            <name>Source</name>
            <description>A related resource from which the described resource is derived</description>
            <elementTextContainer>
              <elementText elementTextId="97830">
                <text>www.ijcit.com</text>
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            <name>Date</name>
            <description>A point or period of time associated with an event in the lifecycle of the resource</description>
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            <description>An entity responsible for making contributions to the resource</description>
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              <elementText elementTextId="97832">
                <text>peri irawan</text>
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            <description>A language of the resource</description>
            <elementTextContainer>
              <elementText elementTextId="97834">
                <text>english</text>
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                <text>Internet of Things (IoT) based Air Pollution Monitoring&#13;
&#13;
in Kaduna, Nigeria</text>
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            <name>Subject</name>
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                <text>Air pollution, Internet of Things, Kaduna,&#13;
Monitoring.</text>
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                <text>Conventional approach to air pollution&#13;
monitoring using tempo-spatial measurements with&#13;
instruments and air quality meters is cumbersome, stressful&#13;
and unable to offer continuous monitoring. An Internet of&#13;
Things (IoT) – based air pollution monitor using low cost&#13;
micro-scale sensing technology was designed and&#13;
developed. This system is convenient, cost effective and&#13;
offers round the clock monitoring. The IoT-based air&#13;
pollution monitoring system comprises of a sensor node,&#13;
microcontroller (MC), internet gateway and a cloud server.&#13;
Data is transmitted to ThingSpeak cloud server through&#13;
HTTP command. The results are displayed on ThingSpeak&#13;
webpage and remotely accessed. Three separate hardware&#13;
devices were developed and deployed in three different&#13;
locations within Kaduna city. These areas are Kakuri&#13;
industrial layout, Ahmadu Bello way commercial center&#13;
and Gonin Gora residential area. The results from these&#13;
locations which are remotely assessed, indicated that the&#13;
developed devices offer continuous monitoring of air&#13;
pollution with minimal human intervention. Furthermore,&#13;
using percentage difference, the results from the IoT –&#13;
based air pollution monitor are compared with those of&#13;
conventional air quality meters and found to be accurate&#13;
with a tolerance value of&#13;
5%.</text>
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                <text>Adenike Folaponmile, Samuel N. John, Samuel F. Kolawole</text>
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                <text>March 2023</text>
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              <elementText elementTextId="97792">
                <text>peri irawan</text>
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            <elementTextContainer>
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                <text>english</text>
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                <text>Systematic Literature Review SDLC in Software Engineering</text>
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                <text>Keywords-systematic literature review; software development life&#13;
cycle; software engineering;</text>
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                <text>Software Engineering is a branch of computer science&#13;
that is used to find out what is wrong in software. The purpose of&#13;
this study is to provide a number of papers with the theme&#13;
Software Development Life Cycle (SDLC) on software&#13;
engineering. We conducted a literature review for papers&#13;
published in the period 2018 to 2022. As many as 80 papers that&#13;
we took from the Scopus database and the Web of Science were&#13;
then reviewed based on the SLR flow that we determined, which&#13;
was to separate journal articles and conference papers, only taking&#13;
the most cited papers. at least 3 times and the final result of our&#13;
review is 48 papers related to a comprehensive discussion of SRL&#13;
(SDLC in software development).</text>
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