Security Methods to Improve Quality of Service
DOI:
https://doi.org/10.4108/eetiot.4587Keywords:
network security, dos, ddos, idps, vpns, encryptionAbstract
INTRODUCTION: Security and Quality of Service (QoS) are two of the most critical aspects of communication networks. Security measures are implemented to protect the network from unauthorized access and malicious attacks, whereas QoS measures are implemented to ensure that the network is reliable, efficient, and can meet the demands of users.
OBJECTIVES: This paper examines various methods of network security and their impact on the quality of service (QoS) in computer networks. The study analyses different types of network attacks, such as denial of service (DoS), distributed denial of service (DDoS), and intrusion attempts, and their impact on QoS. The paper also explores various security mechanisms, such as intrusion detection and prevention systems (IDPS), firewalls, virtual private networks (VPNs), and techniques for encryption, that can help mitigate network security threats while maintaining QoS.METHODS: The study evaluates the strengths and weaknesses of the security mechanisms in terms of their ability to provide protection against network attacks while minimizing the impact on QoS.
RESULTS: The paper provides recommendations for organizations to enhance their network security posture while improving the QoS, such as implementing robust network security policies, investing in advanced security tools, and training employees to recognize and respond to network security incidents.
CONCLUSION: This paper offers a comprehensive analysis of network security methods and their impact on QoS, providing insights and recommendations for organizations to improve their network security posture and maintain a high level of QoS.hese are the conclusions of this paper.
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Anna D Gage; Hannah H Leslie; Asaf Bitton; J Gregory Jerome; Jean Paul Joseph; Roody Thermidor; Margaret E Kruk; "Does Quality Influence Utilization of Primary Health Care? Evidence From Haiti", GLOBALIZATION AND HEALTH, 2018. DOI: https://doi.org/10.1186/s12992-018-0379-0
Bereket Yakob; Anna Gage; Tsinuel Girma Nigatu; Sarah Hurlburt; Seifu Hagos; Girmaye Dinsa; Diana Bowser; Peter Berman; Margaret E Kruk; Ephrem Tekle; "Low Effective Coverage Of Family Planning And Antenatal Care Services In Ethiopia", INTERNATIONAL JOURNAL FOR QUALITY IN HEALTH CARE : 2018. DOI: https://doi.org/10.1093/intqhc/mzy251
Dwi Suhartanto; Mohd Helmi Ali; Kim Hua Tan; Fauziyah Sjahroeddin; Lusianus Kusdibyo; "Loyalty Toward Online Food Delivery Service: The Role of E-service Quality and Food Quality", JOURNAL OF FOODSERVICE BUSINESS RESEARCH, 2019. DOI: https://doi.org/10.1080/15378020.2018.1546076
Youngjoon Choi; Miju Choi; Munhyang (Moon) Oh; Seongseop (Sam) Kim; "Service Robots in Hotels: Understanding The Service Quality Perceptions of Human-robot Interaction", JOURNAL OF HOSPITALITY MARKETING & MANAGEMENT, 2019.
Francis Palma; Naouel Moha; Yann-Gaël Guéhéneuc; "UniDoSA: The Unified Specification and Detection of Service Antipatterns", IEEE TRANSACTIONS ON SOFTWARE ENGINEERING, 2019. DOI: https://doi.org/10.1109/TSE.2018.2819180
Yan Li; Huping Shang; "Service Quality, Perceived Value, and Citizens' Continuous-use Intention Regarding E-government: Empirical Evidence from China", INF. MANAG., 2020. DOI: https://doi.org/10.1016/j.im.2019.103197
Takeshi Morita; Naho Kashiwagi; Ayanori Yorozu; Hideo Suzuki; Takahira Yamaguchi; "Evaluation of A Multi-robot Cafe Based on Service Quality Dimensions", THE REVIEW OF SOCIONETWORK STRATEGIES, 2020. DOI: https://doi.org/10.1007/s12626-019-00049-x
Gerald G Singh; Ian M S Eddy; Benjamin S Halpern; Rabin Neslo; Terre Satterfield; Kai M A Chan; "Mapping Cumulative Impacts To Coastal Ecosystem Services In British Columbia", PLOS ONE, 2020. DOI: https://doi.org/10.1101/698365
Yiwen Zhang; Guangming Cui; Shuiguang Deng; Feifei Chen; Yan Wang; Qiang He; "Efficient Query of Quality Correlation for Service Composition", IEEE TRANSACTIONS ON SERVICES COMPUTING, 2021. DOI: https://doi.org/10.1109/TSC.2018.2830773
Sulemana Bankuoru Egala; Dorcas Boateng; Samuel Aboagye Mensah; "To Leave or Retain? An Interplay Between Quality Digital Banking Services and Customer Satisfaction", INTERNATIONAL JOURNAL OF BANK MARKETING, 2021. (IF: 3) DOI: https://doi.org/10.1108/IJBM-02-2021-0072
Agarwal N., Jain A., Gupta A., Tayal D.K. (2022) Applying XGBoost Machine Learning Model to Succor Astronomers Detect Exoplanets in Distant Galaxies. In: Dev A., Agrawal S.S., Sharma A. (eds) Artificial Intelligence and Speech Technology. AIST 2021. Communications in Computer and Information Science, vol 1546. Springer, Cham. https://doi.org/10.1007/978-3-030-95711-7_33. DOI: https://doi.org/10.1007/978-3-030-95711-7_33
Agarwal, N., Srivastava, R., Srivastava, P., Sandhu, J., Singh, Pratap P. Multiclass Classification of Different Glass Types using Random Forest Classifier. 6th International Conference on Intelligent Computing and Control Systems (ICICCS), 2022. p. 1682-1689. DOI: https://doi.org/10.1109/ICICCS53718.2022.9788326
Agarwal, N., Singh, V., Singh, P. Semi-Supervised Learning with GANs for Melanoma Detection. 6th International Conference on Intelligent Computing and Control Systems (ICICCS), 2022. p. 141-147. DOI: https://doi.org/10.1109/ICICCS53718.2022.9787990
Tayal, D.K., Agarwal, N., Jha, A., Deepakshi, Abrol, V. To Predict the Fire Outbreak in Australia using Historical Database. 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO), 2022. p. 1-7. DOI: https://doi.org/10.1109/ICRITO56286.2022.9964603
Agarwal, N., Tayal, D.K. FFT based ensembled model to predict ranks of higher educational institutions. Multimed Tools Appl 81, 2022. DOI: https://doi.org/10.1007/s11042-022-13180-9
Wenjuan Li; Jian Cao; Keyong Hu; Jie Xu; Rajkumar Buyya; "A Trust-Based Agent Learning Model for Service Composition in Mobile Cloud Computing Environments", IEEE ACCESS, 2019.
Tamara Radivilova; Lyudmyla Kirichenko; Dmytro Ageiev; Vitalii Bulakh; "The Methods To Improve Quality Of Service By Accounting Secure Parameters", ARXIV-CS.NI, 2019. DOI: https://doi.org/10.1007/978-3-030-16621-2_32
Tian Wang; Pan Wang; Shaobin Cai; Ying Ma; Anfeng Liu; Mande Xie; "A Unified Trustworthy Environment Establishment Based on Edge Computing in Industrial IoT", IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020. DOI: https://doi.org/10.1109/TII.2019.2955152
Rongbin Xu; Yongliang Cheng; Zhiqiang Liu; Ying Xie; Yun Yang; "Improved Long Short-Term Memory Based Anomaly Detection with Concept Drift Adaptive Method for Supporting IoT Services", FUTURE GENER. COMPUT. SYST., 2020.
Zahir Tari; Adil Fahad; Abdulmohsen Almalawi; Xun Yi; "A Hybrid Clustering-classification for Accurate and Efficient Network Classification", 2020.
Khalid F. Mahmmod; Mohammed M. Azeez; Mohamad A. Ahmed; "IPsec Cryptography for Data Packets Security Within VPN Tunneling Networks Communications", 2020 INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING AND ..., 2020. DOI: https://doi.org/10.1109/ICELTICs50595.2020.9315407
Dong-Won Kim; Jin-Young Choi; Keun-Hee Han; "Risk Management-based Security Evaluation Model For Telemedicine Systems", BMC MEDICAL INFORMATICS AND DECISION MAKING, 2020.
Ghosh, H., Tusher, M.A., Rahat, I.S., Khasim, S., Mohanty, S.N. (2023). Water Quality Assessment Through Predictive Machine Learning. In: Intelligent Computing and Networking. IC-ICN 2023. Lecture Notes in Networks and Systems, vol 699. Springer, Singapore. https://doi.org/10.1007/978-981-99-3177-4_6 DOI: https://doi.org/10.1007/978-981-99-3177-4_6
Alenezi, F.; Armghan, A.; Mohanty, S.N.; Jhaveri, R.H.; Tiwari, P. Block-Greedy and CNN Based Underwater Image Dehazing for Novel Depth Estimation and Optimal Ambient Light. Water 2021, 13, 3470. https://doi.org/10.3390/w13233470 DOI: https://doi.org/10.3390/w13233470
G. P. Rout and S. N. Mohanty, "A Hybrid Approach for Network Intrusion Detection," 2015 Fifth International Conference on Communication Systems and Network Technologies, Gwalior, India, 2015, pp. 614-617, doi: 10.1109/CSNT.2015.76. DOI: https://doi.org/10.1109/CSNT.2015.76
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