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IoT Wireless Intrusion Detection and Network Traffic Analysis

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Computer Systems Science & Engineering 2022年第3期40卷 865-879页

作者： Vasaki Ponnusamy Aun Yichiet nz jhanjhi Mamoona humayun MaramFahhad Almufareh University Tunku Abdul Rahman Kampar31900Malaysia School of Computer Science and Engineering(SCE) Taylor’s UniversitySelangorMalaysia Department of Information Systems College of Computer and Information SciencesJouf UniversityAl-JoufSaudi Arabia

Enhancement in wireless networks had given users the ability to use the Internet without a physical connection to the *** every Internet of Things(IoT)devices such as smartphones,drones,and cameras use wireless technology(Infrared,Bluetooth,IrDA,IEEE 802.11,etc.)to establish multiple interdevice connections *** the flexibility of the wireless network,one can set up numerous ad-hoc networks on-demand,connecting hundreds to thousands of users,increasing productivity and profitability ***,the number of network attacks in wireless networks that exploit such flexibilities in setting and tearing down networks has become very *** can launch attacks since there is no first line of defense in an ad hoc network setup besides the standard IEEE802.11 WPA2 *** feasible countermeasure is to deploy intrusion detection systems at the edge of these ad hoc networks(Network-based IDS)or at the node level(Host-based IDS).The challenge here is that there is no readily available benchmark data available for IoT network *** this benchmark data is very tedious as IoT can work on multiple platforms and networks,and crafting and labelling such dataset is very *** research aims to study the characteristics of existing datasets available such as KDD-Cup and NSL-KDD,and their suitability for wireless IDS *** hypothesize that network features are parametrically different depending on the types of network and assigning weight dynamically to these features can potentially improve the subsequent threat *** paper analyses packet and flow features for the data packet captured on a wireless network rather than a wired *** domain heuristcs and early classification results,the paper had identified 19 header fields exclusive to wireless network that contain high information gain to be used as ML features in Wireless IDS.

关键词： IoT machine learning traffic features IDS KDD-CUP NSL-KDD

Security Threat and Vulnerability Assessment and Measurement in Secure Software Development

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Computers, Materials & Continua 2022年第6期71卷 5039-5059页

作者： Mamoona Humayun nz jhanjhi Maram Fahhad Almufareh Muhammad Ibrahim Khalil Department of Information Systems College of Computer and Information SciencesJouf UniversityAl-JoufKSA School of Computer Science and Engineering(SCE) Taylor’s UniversitySelangorMalaysia Department of Computer Science Bahria UniversityIslamabadPakistan

Security is critical to the success of software,particularly in today’s fast-paced,technology-driven *** ensures that data,code,and services maintain their CIA(Confidentiality,Integrity,and Availability).This is only possible if security is taken into account at all stages of the SDLC(Software Development Life Cycle).Various approaches to software quality have been developed,such as CMMI(Capabilitymaturitymodel integration).However,there exists no explicit solution for incorporating security into all phases of *** of the major causes of pervasive vulnerabilities is a failure to prioritize *** the most proactive companies use the“patch and penetrate”strategy,inwhich security is accessed once the job is *** cost,time overrun,not integrating testing and input in SDLC,usage of third-party tools and components,and lack of knowledge are all reasons for not paying attention to the security angle during the SDLC,despite the fact that secure software development is essential for business continuity and survival in today’s ICT *** is a need to implement best practices in SDLC to address security at all *** fill this gap,we have provided a detailed overview of secure software development practices while taking care of project costs and *** proposed a secure SDLC framework based on the identified practices,which integrates the best security practices in various SDLC phases.A mathematical model is used to validate the proposed framework.A case study and findings show that the proposed system aids in the integration of security best practices into the overall SDLC,resulting in more secure applications.

关键词： Security secure software development software development life cycle(SDLC) confidentiality integrity availability

Exploring Students Engagement Towards the Learning Management System (LMS) Using Learning Analytics

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Computer Systems Science & Engineering 2021年第4期37卷 73-87页

作者： Shahrul Nizam Ismail Suraya Hamid Muneer Ahmad A.Alaboudi nz jhanjhi Department of Information Systems Faculty of Computer Science&Information TechnologyUniversity MalayaKuala Lumpur50603Malaysia Department of Information systems College of Computer and Information SciencesShaqra UniversitySaudi Arabia School of Computer Science and Engineering SCETaylor’s UniversitySubang Jaya47500Malaysia

Learning analytics is a rapidly evolving research discipline that uses theinsights generated from data analysis to support learners as well as optimize boththe learning process and environment. This paper studied students’ engagementlevel of the Learning Management System (LMS) via a learning analytics tool,student’s approach in managing their studies and possible learning analytic methods to analyze student data. Moreover, extensive systematic literature review(SLR) was employed for the selection, sorting and exclusion of articles fromdiverse renowned sources. The findings show that most of the engagement inLMS are driven by educators. Additionally, we have discussed the factors inLMS, causes of low engagement and ways of increasing engagement factorsvia the Learning Analytics approach. Nevertheless, apart from recognizing theLearning Analytics approach as being a successful method and technique for analyzing the LMS data, this research further highlighted the possibility of mergingthe learning analytics technique with the LMS engagement in every institution asbeing a direction for future research.

关键词： Learning analytics student engagement learning management system systematic literature review

Role of Fuzzy Approach towards Fault Detection for Distributed Components

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Computers, Materials & Continua 2021年第5期67卷 1979-1996页

作者： Yaser Hafeez Sadia Ali nz jhanjhi Mamoona Humayun Anand Nayyar Mehedi Masud University Institute of Information Technology Pir Mehr Ali Shah Arid Agriculture UniversityRawalpindiPakistan School of Computer Science and Engineering SCETaylor’s UniversitySubang JayaMalaysia Department of Information systems College of Computer and Information SciencesJouf UniversitySaudi Arabia Graduate School Duy Tan UniversityDa Nang550000Viet Nam Faculty of Information Technology Duy Tan UniversityDa Nang550000Viet Nam Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Component-based software development is rapidly introducing numerous new paradigms and possibilities to deliver highly customized software in a distributed *** other communication,teamwork,and coordination problems in global software development,the detection of faults is seen as the key ***,there is a need to ensure the reliability of component-based applications *** device detection faults applied to tracked components from various sources and failed to keep track of all the large number of components from different *** this study,we propose an approach for fault detection from componentbased systems requirements using the fuzzy logic approach and historical information during acceptance *** approach identified error-prone components selection for test case extraction and for prioritization of test cases to validate components in acceptance *** the evaluation,we used empirical study,and results depicted that the proposed approach significantly outperforms in component selection and acceptance *** comparison to the conventional procedures,i.e.,requirement criteria,and communication coverage criteria without irrelevancy and redundancy successfully outperform other ***,the F-measures of the proposed approach define the accurate selection of components,and faults identification increases in components using the proposed approach were higher(i.e.,more than 80 percent)than requirement criteria,and code coverage criteria procedures(i.e.,less than 80 percent),***,the rate of fault detection in the proposed approach increases,i.e.,92.80 compared to existing methods i.e.,less than 80 *** proposed approach will provide a comprehensive guideline and roadmap for practitioners and researchers.

关键词： Component-based software selection acceptance testing fault detection

An Effective Online Collaborative Training in Developing Listening Comprehension Skills

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Computer Systems Science & Engineering 2021年第8期38卷 131-140页

作者： Shakeel Ahmed Munazza Ambreen Muneer Ahmad Abdulellah A.Alaboudi Roobaea Alroobaea nz jhanjhi Department of Secondary Instructors Education Faculty of EducationAllama Iqbal Open UniversityIslamabadPakistan Department of Information Systems Faculty of Computer Science&ITUniversiti Malaya50603 Kuala LumpurMalaysia College of Computer Science Shaqra UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia School of Computer Science and Engineering SCETaylor’s UniversitySubang Jaya47500Malaysia

The COVID-19 outbreak severely affected formal face-to-face classroom teaching and ***-based online education and training can be a useful measure during the *** the Pakistani educational context,the use of ICT-based online training is generally sporadic and often unavailable,especially for developing English-language instructors’listening comprehension *** major factors affecting availability include insufficient IT resources and infrastructure,a lack of proper online training for speech and listening,instructors with inadequate academic backgrounds,and an unfavorable environment for ICT-based training for listening *** study evaluated the effectiveness of ICT-based training for developing secondary-level English-language instructors’listening comprehension *** this end,collaborative online training was undertaken using random ***,60 private-school instructors in Chakwal District,Pakistan,were randomly selected to receive online-listening training sessions using English *** experimental group achieved significant scores in the posttest ***,there were substantial improvements in the participants’listening skills via online *** the unavailability of face-to-face learning during COVID-19,this study recommends using ICT-based online training to enhance listening comprehension *** policymakers should revise curricula based on online teaching methods and modules.

关键词： COVID-19 online training remote teaching computers in education listening comprehension English language

Energy Optimised Security against Wormhole Attack in IoT-Based Wireless Sensor Networks

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Computers, Materials & Continua 2021年第8期68卷 1967-1981页

作者： Hafsa Shahid Humaira Ashraf Hafsa Javed Mamoona Humayun nz jhanjhi Mohammed A.AlZain Department of Computer Science and Software Engineering International Islamic University IslamabadIslamabadPakistan Department of Information Systems College of Computer and Information ScienceJouf UniversityAl-JoufSaudi Arabia School of Computer Science and Engineering(SCE) Taylor’s UniversitySelangorMalaysia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

An IoT-based wireless sensor network(WSN)comprises many small sensors to collect the data and share it with the central *** sensors are battery-driven and resource-restrained devices that consume most of the energy in sensing or collecting the data and transmitting *** data sharing,security is an important concern in such networks as they are prone to many threats,of which the deadliest is the wormhole *** attacks are launched without acquiring the vital information of the network and they highly compromise the communication,security,and performance of the *** the IoT-based network environment,its mitigation becomes more challenging because of the low resource availability in the sensing *** have performed an extensive literature study of the existing techniques against the wormhole attack and categorised them according to their *** analysis of literature has motivated our *** this paper,we developed the ESWI technique for detecting the wormhole attack while improving the performance and *** algorithm has been designed to be simple and less complicated to avoid the overheads and the drainage of energy in its *** simulation results of our technique show competitive results for the detection rate and packet delivery *** also gives an increased throughput,a decreased end-to-end delay,and a much-reduced consumption of energy.

关键词： IoT Internet of Things energy wormhole WSN wireless sensor networks

Improved Video Steganography with Dual Cover Medium,DNA and Complex Frames

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Computers, Materials & Continua 2023年第2期74卷 3881-3898页

作者： Asma Sajjad Humaira Ashraf nz jhanjhi Mamoona Humayun Mehedi Masud Mohammed A.AlZain Department of Computer Science and Software Engineering International Islamic UniversityIslamabadPakistan School of Computer Science SCSTaylor’s UniversitySubang Jaya47500SelangorMalaysia FITTaylor’s UniversitySubangJaya47500SelangorMalaysia Department of Information Systems College of Computer and Information SciencesJouf UniversityKSA Department of Computer Science College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityP.O.Box 11099Taif21944Saudi Arabia

The most valuable resource on the planet is no longer oil,but *** transmission of this data securely over the internet is another challenge that comes with its ever-increasing *** order to transmit sensitive information securely,researchers are combining robust cryptography and steganographic *** objective of this research is to introduce a more secure method of video steganography by using Deoxyribonucleic acid(DNA)for embedding encrypted data and an intelligent frame selection algorithm to improve video *** the previous approach,DNA was used only for frame *** this DNA is compromised,then our frames with the hidden and unencrypted data will be *** the frame selected in this way were random frames,and no consideration was made to the contents of *** data in this way introduces visible artifacts in *** the proposed approach rather than using DNA for frame selection we have created a fakeDNA out of our data and then embedded it in a video file on intelligently selected frames called the complex *** chaotic maps and linear congruential generators,a unique pixel set is selected each time only from the identified complex frames,and encrypted data is embedded in these random *** results demonstrate that the proposed technique shows minimum degradation of the stenographic video hence reducing the very first chances of visual ***,the selection of complex frames for embedding and creation of a fake DNA as proposed in this research have higher peak signal-to-noise ratio(PSNR)and reduced mean squared error(MSE)values that indicate improved *** proposed methodology has been implemented in Matlab.

关键词： Video steganography data encryption DNA embedding frame selection

A Secure Multi-factor Authentication Protocol for Healthcare Services Using Cloud-based SDN

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Computers, Materials & Continua 2023年第2期74卷 3711-3726页

作者： Sugandhi Midha Sahil Verma Kavita Mohit Mittal nz jhanjhi Mehedi Masud Mohammed A.AlZain Department of Computer Science and Engineering Chandigarh UniversityMohali140413India Chandigarh Engineering College Jhanjeri Mohali140307India School of Computer Science and Engineering SCETaylor’s UniversitySubang Jaya47500Malaysia FITTaylor’s UniversitySubang Jaya47500Malaysia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Information Technology College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia

Cloud-based SDN(Software Defined Network)integration offers new kinds of agility,flexibility,automation,and speed in the *** and Cloud providers both leverage the benefits as networks can be configured and optimized based on the application *** integration of cloud and SDN paradigms has played an indispensable role in improving ubiquitous health care *** has improved the real-time monitoring of patients by medical ***’data get stored at the central server on the cloud from where it is available to medical practitioners in no *** centralisation of data on the server makes it more vulnerable to malicious attacks and causes a major threat to patients’*** recent days,several schemes have been proposed to ensure the safety of patients’*** most of the techniques still lack the practical implementation and safety of *** this paper,a secure multi-factor authentication protocol using a hash function has been ***(Body Area Network)logic has been used to formally analyse the proposed scheme and ensure that no unauthenticated user can steal sensitivepatient *** Protocol Animator(SPAN)–Automated Validation of Internet Security Protocols and Applications(AVISPA)tool has been used for *** results prove that the proposed scheme ensures secure access to the database in terms of spoofing and *** comparisons of the proposed scheme with other related historical schemes regarding time complexity,computation cost which accounts to only 423 ms in proposed,and security parameters such as identification and spoofing prove its efficiency.

关键词： Multi-factor authentication hash function BAN logic SPANAVISPA

Energy Efficient Unequal Fault Tolerance Clustering Approach

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Computer Systems Science & Engineering 2023年第5期45卷 1971-1983页

作者： Sowjanya Ramisetty Divya Anand Kavita Sahil Verma nz jhanjhi Mehedi Masud Mohammed Baz Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyHyderabadIndia School of Computer Science and Engineering Lovely Professional UniversityPhagwaraIndia Department of Computer Science and Engineering Chandigarh UniversityMohaliIndia Department of Computer Science and Engineering Tailor’s UniversityMalaysia Department of Computer Science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Computer Engineering College of Computer and Information TechnologyTaif UniversityTaif21994Saudi Arabia

For achieving Energy-Efficiency in wireless sensor networks(WSNs),different schemes have been proposed which focuses only on reducing the energy consumption.A shortest path determines for the Base Station(BS),but fault tolerance and energy balancing gives equal importance for improving the network *** saving energy in WSNs,clustering is considered as one of the effective methods for Wireless Sensor *** of the excessive overload,more energy consumed by cluster heads(CHs)in a cluster based WSN to receive and aggregate the information from member sensor nodes and it leads to *** increasing the WSNs’lifetime,the CHs selection has played a key role in energy consumption for sensor *** Energy Efficient Unequal Fault Tolerant Clustering Approach(EEUFTC)is proposed for reducing the energy utilization through the intelligent methods like Particle Swarm Optimization(PSO).In this approach,an optimal Master Cluster Head(MCH)-Master data Aggregator(MDA),selection method is proposed which uses the fitness values and they evaluate based on the PSO for two optimal nodes in each cluster to act as Master Data Aggregator(MDA),and Master Cluster *** data from the cluster members collected by the chosen MCH exclusively and the MDA is used for collected data reception from MCH transmits to the ***,the MCH overhead *** the heavy communication of data,overhead controls using the scheduling of Energy-Efficient Time Division Multiple Access(EE-TDMA).To describe the proposed method superiority based on various performance metrics,simulation and results are compared to the existing methods.

关键词： Energy-efficiency unequal fault tolerant clustering approach particle swarm optimization master data aggregator energy efficient time division multiple access optimal nodes