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Open Access Article
BEA Based Service Execution Planning Approach for Web Service Composition
Maya Rathore
Research Paper | Journal-Paper (IJSRCSE)
Vol.10 , Issue.2 , pp.1-10, Apr-2022
Abstract
A great attention has been received by Web service composition with promising service-based application development over the internet. Service oriented architectures (SOA) based applications are produced with the help of merging web services, which are independent and which lead to different dependencies between the candidate services. Managing such dependencies among web services is a difficult issue in composing web services dynamically, once there is sizable amount of web services. Existing methods for service composition are unable to create best possible service composition plan. Also, the time complexity of service composition increases tremendously. A Bully election algorithm-based service execution planning method is proposed in this paper to analyze dependency between heterogeneous services and generate automatic service execution plan. Its sub-components are service selection and optimizer, QoS monitoring and evaluation, QoS classification model and service ranking, service reputation predictor and service composer. This approach helps to recognize the controller web service for the execution of dependent web services. The working of presented approach can be shown by considering a real-world case study. Experimental result is helpful in producing reliable and faster service composition with less service composition time and cost by considering only reliable services on the execution process.Key-Words / Index Term
Web services; SOA; Bully election algorithm; Service selection; QoS, Service ranking; Web service compositionReferences
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Citation
Maya Rathore, "BEA Based Service Execution Planning Approach for Web Service Composition," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.2, pp.1-10, 2022 -
Open Access Article
Implementation of Slowloris Distributed Denial of Service (DDOS) Attack on Web Servers
G. Onuh, P. Owa
Research Paper | Journal-Paper (IJSRCSE)
Vol.10 , Issue.2 , pp.11-15, Apr-2022
Abstract
In recent times, denial of service (DoS) attacks poses a substantial threat to the existing resources on the Internet as well as internal and external network infrastructures. Denial of service attacks exploits vulnerabilities and depletes available resources of a given IT system. As a result, it directly degrades the performance of network services. There various types of DoS attacks. Some are engineered to use up resources from email and web services. These resource-consuming scheme subsequently makes the application services unavailable and inaccessible on the network. The majority of DoS attacks initiate multiple open or semi-open TCP connections on the target node. These open TCP connections disable the server from admitting legitimate requests as a result of multiple waiting connections on its sockets. This research seeks to implement a denial of service attack in python programming language in an attempt to further demystify the mechanism of such attacks and recommend mitigation techniques to address them.Key-Words / Index Term
DDOS Attack; Slowloris, Web SecurityReferences
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[3] Faria, V. da S., Gonçalves, J. A., da Silva, C. A. M., Vieira, G. de B., & Mascarenhas, D. M. Sdtow: A slowloris detecting tool for WMNS. Information (Switzerland), 11(12), 1–18, 2020.
[4] Kant, K., & Tiwari, N. Denial of Service attack using Slowloris. 448–454, 2020.
[5] Lukaseder, T., Ghosh, S., & Kargl, F. Mitigation of Flooding and Slow DDoS Attacks in a Software-Defined Network. ArXiv, 1–3, 2018.
[6] Moustis, D., & Kotzanikolaou, P. Evaluating security controls against HTTP-based DDoS attacks. IISA 2013 - 4th International Conference on Information, Intelligence, Systems and Applications, 165–170, 2013.
[7] Shorey, T., Subbaiah, D., Goyal, A., Sakxena, A., & Mishra, A. K. Performance Comparison and Analysis of Slowloris, GoldenEye and Xerxes DDoS Attack Tools. 2018 International Conference on Advances in Computing, Communications and Informatics, ICACCI, 318–322, 2018.Citation
G. Onuh, P. Owa, "Implementation of Slowloris Distributed Denial of Service (DDOS) Attack on Web Servers," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.2, pp.11-15, 2022 -
Open Access Article
Dynamic Analysis of Synchronous Machine at Varied Excitation Voltage and Quadrature axis Reactance
Crescent Onyebuchi Omeje, Stephen Ejiofor Oti
Research Paper | Journal-Paper (IJSRCSE)
Vol.10 , Issue.2 , pp.16-29, Apr-2022
Abstract
The effects of a varied d.c excitation voltage on the speed and power output of two selected synchronous machines were analyzed in this paper through computer simulations. The steady state equations for a cylindrical rotor and salient pole synchronous machines were derived and simulated at different values of quadrature axis reactance. A varied excitation voltage values were also considered while a significant increase in the value of power output for the salient pole machine was obtained after simulation. The cylindrical rotor machine remained unaffected by the variation in the quadrature axis reactance. The dynamic equations for a salient pole machine were also modeled and simulated with simplified algorithms using embedded MATLAB Function block in ideal motor operating condition and under a three phase to ground fault. The simulation results showed an increase in real power and reactive power values at an increased excitation voltage. A rapid drop in speed and torque value was observed during a three phase to ground fault and was restored after six seconds. All Simulation results were achieved in MATLAB/Simulink software.Key-Words / Index Term
DC-Excitation; Dynamic Modeling; Real Power; Reactive Power; Synchronous Machine, Speed and Torque control.References
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Crescent Onyebuchi Omeje, Stephen Ejiofor Oti, "Dynamic Analysis of Synchronous Machine at Varied Excitation Voltage and Quadrature axis Reactance," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.2, pp.16-29, 2022 -
Open Access Article
Role of Digitalization in Balancing Work during Pandemic: Case of Microsoft
Atianashie Miracle A., Chukwuma Chinaza Adaobi
Research Paper | Journal-Paper (IJSRCSE)
Vol.10 , Issue.2 , pp.30-37, Apr-2022
Abstract
There has been a major shift in how workers and employers interact and how they see their lives as a consequence of digitalization. Individuals whose jobs could be done remotely because to the COVID-19 epidemic were required to do so. This document summarizes the results of all of these different studies. Researchers think it is the most comprehensive collection of studies on the influence of the pandemic on workplace behaviour to date. The results reveal a number of pressing issues and potential for the development of new working methods that are more efficient, egalitarian, and invigorating in nature. It will never be the same at work again. It is, however, something we intend to improve upon with attention and effort. The resources accessible to workers in the workplace, as well as their well-being, might be harmed if work is done away from the office, colleagues, and supervisors. When it comes to employee well-being, remote working has a significant impact. To test this idea, researchers looked at how often employees worked from home and how much of their work was digitised.Key-Words / Index Term
Microsoft, Digitalization, Balancing Work, PandemicReferences
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Atianashie Miracle A., Chukwuma Chinaza Adaobi, "Role of Digitalization in Balancing Work during Pandemic: Case of Microsoft," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.2, pp.30-37, 2022 -
Open Access Article
Securing the Cloud Storage by Using Different Algorithms of Cryptography
Maria Jan, Qamar Shahzad, Salman Afsar
Research Paper | Journal-Paper (IJSRCSE)
Vol.10 , Issue.2 , pp.38-45, Apr-2022
Abstract
Cloud Computing offers services via the internet that allows for virtual servers, dynamic memory pools, as well as easy access. Because distributed computing is based on the internet, security concerns such as information security, confidentiality, data protection, concealment, & authentication arise. The data security of cloud storage is a major issue. In this research, we aimed to examine various combinations of data security techniques. The usage of cryptographic algorithms is employed for resolving data protection and privacy problems in cloud storage. In the proposed Hybrid system of algorithm RC4, DES & AES Algorithms were used to improve data security and privacy. The proposed hybrid system of algorithm secured the Upload and download of data on cloud storage. For this, Secret keys are required for both encryption and decryption. As a result, several parameters are calculated utilizing evaluation factors also including encryption time, memory consumption, decryption time, as well as throughput. To show the effectiveness of the hybrid system, simulations of data are provided in JAVA, using the Eclipse IDE tool. The proposed hybrid system of the algorithm is executed and evaluated using various file formats such as text and image data. The suggested algorithm is believed to work well to provide more data security.Key-Words / Index Term
DES, RC4, encryption system, upload, download, AESReferences
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Maria Jan, Qamar Shahzad, Salman Afsar, "Securing the Cloud Storage by Using Different Algorithms of Cryptography," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.2, pp.38-45, 2022 -
Open Access Article
Estimation of Biogas Potential of Liquid Manure from Kinetic Models at Different Temperature
Abdulhalim Musa Abubakar, Luqman Buba Umdagas, Abubakar Yusuf Waziri, Ehime Irene Itamah
Research Paper | Journal-Paper (IJSRCSE)
Vol.10 , Issue.2 , pp.46-63, Apr-2022
Abstract
The target when using models to analyse results of biogas yield from manure or similar substrate is mostly to determine their kinetic parameters, which help significantly in knowing the bioreactor behavior and efficiency. This work aims at utilizing experimental biogas data obtained at 25, 30, 35, 40 and 45? to estimate these parameters, including the biogas potential of liquid manure from existing biogas models, first and second order biogas rate equations and the basic arithmetic equations using Excel Solver coupled with POLYMATH by regression. Best models are Cone, Proposed model, Transference, Logistic and Modified Gompertz as they give high coefficient of determination and fits the measured biogas yield data at 25-45?. Estimated biogas potential from Modified Gompertz model ranges from 7143-13584 mL/gVS; Logistic, 6556-12779 mL/gVS; Cone, 7713-14403 mL/gVS and; Transference, 35639-44932 mL/gVS, over the temperature range. The biogas potential parameter is not found in the Proposed model, first and second order biogas rate equations, linear, exponential and polynomial equations but are useful in finding fitted estimates of the empirical data. Most accurate or correct model among the best models obtained here, as per future studies, can be determined using model comparison parameters such as the Bayesian Information Criterion, Akaike’s Information Criterion and F-test.Key-Words / Index Term
Biogas, Liquid manure, Digestion temperature, Biogas potential, Kinetic modelReferences
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Abdulhalim Musa Abubakar, Luqman Buba Umdagas, Abubakar Yusuf Waziri, Ehime Irene Itamah, "Estimation of Biogas Potential of Liquid Manure from Kinetic Models at Different Temperature," International Journal of Scientific Research in Computer Science and Engineering, Vol.10, Issue.2, pp.46-63, 2022 -
Open Access Article
Efficient and Simple Machine Learning-based Malware and Trojan Identification Tool
J. Dhiviya Rose, Isha Mittal, Ramya Mihir
Research Paper | Journal-Paper (IJSRCSE)
Vol.10 , Issue.2 , pp.64-68, Apr-2022
Abstract
When COVID-19 hit the world, it altered the working pattern of all the people around the world. Along with this, it is seen that there has been an exponential growth in the cases of malware, trojans and cyber-crime rates. New and recent malwares uses advanced techniques like polymorphism and metamorphism to help in assisting the malware detection and analysis procedure. Identifying malware in view of its features and conduct is analytic and serious for the computer security. Most of the anti-viruses that are present rely upon the signature-based noticing which is moderately easy to dodge and evade and is insufficient and also ineffective for zero-day exploit-based malware. With the ascent of the Internet, there has been enormous development in the quantity of malware on the planet. With this project, we provide a new approach to identify malware using static analysis, i.e. without executing. With the help of different machine learning models, we will identify malware if present in any file, to prevent any further attacks. The target audience and the people who will majorly get benefitted from this project are the students as well as the working professionals who are these days working in online mode due to the pandemic. This application will promote an easy use to identify the files that they receive over emails, SMS, or any other e-mode, to scan before opening any malware file and getting trapped. The target audience for this proposed system is mainly all the students, and professionals, who are more likely to be active on the internet.Key-Words / Index Term
Malware, Internet Security, Machine LearningReferences
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