Development of an Improved Network Security System using Firewall for Securing Organisational Data
DOI:
https://doi.org/10.14738/tnc.85.9605Keywords:
Firewall, Internet, Network Security system, Organizational Data, Dual-Homed host firewall, Insecure Network, Packet Filtering, Proxy ServerAbstract
It is eminent that the Internet is far from being secure. Insecure networks have caused organizations to lose lots of money as a result of data loss or data corruption, and even worse, some organizations have also lost their reputation hence reduce the client’s confidence. Therefore, this research focused on the development of an improved network security system using a firewall that can secure both the internal and external network of an organization. The system was developed using both packet filtering and proxy server architectures to prevent unauthorized connection or access to the organization server or resources thereby reducing the risk of attacks to the network and loss of organizational data. The system was implemented using PHP and python programming languages and the backend was developed using MySQL as the database server; HTML, CSS, and JavaScript for the frontend layout. The implementation of this firewall system includes a monitoring admin interface from where most activities within the private network can be monitored and also this system can prevent or deny the unauthorized request of services either by an intruder from an external network or personnel within the network. Based on the findings of this study, the developed system is recommended for any organization that depends on computer networks for the running of their daily activities.
References
I. Ahmad, T. Kumar, M. Liyanage, J. Okwuibe, M. Ylianttila, and A. Gurtov, Overview of 5G Security Challenges and Solutions, 2471-2825/18/$25.00 © 2018 IEEE IEEE Communications Standards Magazine • March 2018.
3GPP, 3GPP System Architecture Evolution (SAE); Security architecture. 3GPP, TS 33.401, 2013.
A. muthana, M. Saeed, A. Ghani, R. Mahmod, Enhancing Privacy of Paging Procedure in LTE, www.ijesi.org ||Volume 7 Issue 2 Ver. V || February 2018.
M. M. Saeed, R. A. Saeed and E. Saeid, "Preserving Privacy of Paging Procedure in 5G Using Identity-Division Multiplexing," 2019 First International Conference of Intelligent Computing and Engineering (ICOICE), Hadhramout, Yemen, 2019, pp. 1-6.
I. Ahmad, T. Kumary, M. Liyanagez, J. Okwuibex, M. Ylianttila and A. Gurtovk, 5G Security: Analysis of Threats and Solutions, 978-1-5386-3070-9/17/$31.00 ©2017 IEEE, 2017.
H. Choudhury, B.Roychoudhury and D. Saikia, Enhancing user identity privacy in LTE. In IEEE 11th International Conference on Security and Privacy in Computing and Communications (TrustCom), 2012. p. 949–957.
H. Ghafghazi, A. El-Mougy and H. Mouftah, Enhancing Privacy of LTE-based Public Safety Networks. In 13th Annual IEEE Workshop on Wireless Local Networks, Edmonton, Canada 2014.
R. Taranto, L. Muppirisetty, R. Raulefs, D. Slock, T. Svensson, and H. Wymeersch; LOCATION-AWARE Communications for 5g Networks; European Research Council under Grant No. 258418 (COOPNET), by European Union under ICT-248894 FP7 project WHERE2, and by Swedish Research Council under Grant No. 2011-6864 and 2009-4555.
3GPP TS 23.003. Numbering, addressing and identification, 2016.
3GPP TS 33.106. 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; 3G security; Lawful Interception requirements, 2016.
3GPP TS 33.107. 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; 3G security; Lawful interception architecture and functions, 2016.
A. Muthana and M. Saeed “Analysis of User Identity Privacy in LTE and Proposed Solution, International Journal of Computer Network and Information Security (IJCNIS), Vol.9, No.1, pp.54-63, 2017.DOI: 10.5815/ijcnis. 2017.01.07 http://dx.doi.org/10.14738/tnc.85.9571 22
R. Mokhtar, S. Khatun, A. Borhanuddin, A. Ramli, R. A. Saeed “Authentication and user presence monitoring technique for mobile computers using JSR82,” Proceeding of Brunei International Conference on Engineering and Technology (BICET 2005), Volume (2), pp. 133-136, Bandar Seri Begawan, Brunei, July 2005.
M. Saeed, R. Saeed. and E. Saeid; Survey of Privacy of User Identity in 5G: Challenges and Proposed Solutions. Saba Journal of Information Technology and Networking (SJITN)-ISSN:2312-4989, [S.I.]., v.7. n.1. Jul.2019.ISSN:2312-4989.
S. Gang, C. Shuai, Y. Hongfang, M. Sabita, C. Victor, D. Xiaojiang, And G. Mohsen; Location Privacy Preservation for Mobile Users in Location-Based Services; IEEE ACCESS. June 28, 2019.
C. Hiten; Enhanced Anonymity: Customized for Roaming and Non-Roaming IoT-Devices in 5G Mobile Network, 2020 Third ISEA Conference on Security and Privacy (ISEA-ISAP) 978-1-7281-6708-4/20/$31.00 ©2020 IEEE.
G. Ikram, S. Salima, Z. Faouzi; An efficient authentication and key agreement protocol for a group of vehicles devices in 5G cellular networks; IET Inf. Secur., 2020, Vol. 14 Iss. 1, pp. 21-29.
J. Lili, C. Xiaolin, B. Jing, M. Jelena and M. Vojislav; Dependability Analysis of 5G-AKA Authentication Service from Server and User Perspectives; Digital Object Identifier 10.1109/ACCESS.2020.2993111.
Y. Xudong Yang, G. Ling Gao, Z. Jie Zheng, and W. Wei; Location Privacy Preservation Mechanism for Location-Based Service with Incomplete Location Data; Digital Object Identifier 10.1109/ACCESS.2020.2995504.
L. Huibin, Li Xu and Z. Yali; An Efficient Location Privacy-Preserving Authentication Scheme for Cooperative Spectrum Sensing; Digital Object Identifier 10.1109/ACCESS.2017.DOI
C. Liang, T. Sarang, J. Kimmo, S. Elena, A. Anette, L. Helena, M. Zahidul H. Bhuiyan, B. Shakila, F. Giorgia, H. Salomon, L. Jenna, R. Laura, K. Päivi and K. Heidi; Robustness, Security and Privacy in Location-Based Services for Future IoT: A Survey; Digital Object Identifier 10.1109/ACCESS.2017.2695525
W. Jinbao, L. Yingshu, Y. Donghua, G. Hong, L. Guangchun and L. Jianzhong; Achieving Effective k-Anonymity for Query Privacy in Location-Based Services; Digital Object Identifier 10.1109/ACCESS.2017.2766669
L. Ting, L. Yuxin, X. Neal N., L. Anfeng, C. Zhiping and S. Houbing; Privacy-Preserving Protocol for Sink Node Location in Telemedicine Networks Digital Object Identifier 10.1109/ACCESS.2018.2858274.
H. Zhisheng, Y. Xiai, L. Yaping, X. Zhou and L. Feng; A Secure and Efficient Privacy-Preserving Range Query Scheme in Location-Based Services; Digital Object Identifier 10.1109/ACCESS.2018.2882399
Z. Shiwen, Y. Tingting, L. Wei, S. Voundi Koe Arthur, and L. Kuan-Ching; An Efficient Privacy-Preserving Multi-Keyword Query Scheme in Location Based Services; Digital Object Identifier 10.1109/ACCESS.2020.3018417.
Z. Mayra A., S. Augusto, B. Maria Antonia, and W. Pedro M.; An Evaluation Framework for Assessing the Impact of Location Privacy on Geospatial Analysis Digital Object Identifier 10.1109/ACCESS.2020.3019631.
K_evin Huguenin, I. Bilogrevic, J. Soares Machado, M. Stefan, S. Reza, D. Italo and H. Jean-Pierre; A Predictive Model for User Motivation and Utility Implications of Privacy-Protection Mechanisms in Location Check-Ins; IEEE TRANSACTIONS ON MOBILE COMPUTING, VOL. 17, NO. 4, APRIL 2018
Z. Lijuan, Y. Huanhuan, L. Zhaoxuan, P. Xiao, W. Mei and Y. Fan; k-Anonymity Location Privacy Algorithm Based on Clustering; Digital Object Identifier 10.1109/ACCESS.2017.2780111.
C. Zhongyang, W. Yingjie, H. Yan, and T. Xiangrong; The Novel Location Privacy-Preserving CKD for Mobile Crowdsourcing Systems; Digital Object Identifier 10.1109/ACCESS.2017.2783322.
L. Gaolei, Z. Qiaolun, L. Jianhua, W. Jun, and Z. Peng; Energy-Efficient Location Privacy Preserving in Vehicular Networks Using Social Intimate Fogs Digital Object Identifier 10.1109/ACCESS.2018.2859344
Y. Dan and S. Yiran; Location- and Relation-Based Clustering on Privacy-Preserving Social Networks; Tsinghua Science and Technology, August 2018, 23(4): 453–462
Z. Konglin, Y. Wenke, Z. Wenqi, C. Liyang, Z. Lin and O. Eiji; Cyber-Physical-Social Aware Privacy Preserving in Location-Based Service; Digital Object Identifier 10.1109/ACCESS.2018.2871158.
Y. Ke, L. Guangchun, Z. Xu, T. Ling, and V. Akshita Maradapu; A Comprehensive Location-Privacy-Awareness Task Selection Mechanism in Mobile Crowd-Sensing; Digital Object Identifier 10.1109/ACCESS.2019.2921274.
L. Zhaoman, W. Lei, K. Junming, Q. Wenlei, W. Wei and W. Hao; Accountable Outsourcing Location-Based Services with Privacy Preservation; Digital Object Identifier 10.1109/ACCESS.2019.2936582.
F. Fifi, A. Yasmin, And R. Rawya; Efficient Privacy-Preserving Scheme for Location Based Services in VANET System; Digital Object Identifier 10.1109/ACCESS.2020.2982636.
K. Youssef, F. Jingyao, Z. Sencun, and C. Guohong; Preserving Personalized Location Privacy in Ride-Hailing Service; Tsinghua Science and Technology, December 2020, 25(6): 743–757
C. Xiang, L. Jun, G. Daqing, And W. Rui; Preserving Location Privacy in Spatial Crowdsourcing Under Quality Control; Digital Object Identifier 10.1109/ACCESS.2019.2949409.
B. Jagdale, N. Gawande,"Hybrid Model for Location Privacy in Wireless Ad-Hoc Networks", IJCNIS, vol.5, no.1, pp.14-23, 2013.DOI: 10.5815/ijcnis.2013.01.02
34Z. Haddad, S. Taha and I. Saroit; Anonymous authentication and location privacy preserving schemes for LTE-A networks; Egyptian Informatics Journal 18 (2017) 193–203.
E. Catania and A. Corte, Location Privacy in Virtual Cell-Equipped Ultra-Dense Networks, 978-1-5386-3662-6/18/$31.00 ©2018 IEEE, 2018.
C. Laoudias, A. Moreira, S. Kim, S. Lee, L. Wirola, and C. Fischione, A Survey of Enabling Technologies for Network Localization, Tracking, and Navigation, IEEE Communications Surveys & Tutorials · July 2018.
S. Hailu and M. Saily, Hybrid paging and location tracking scheme for inactive 5G UEs, 2017 IEEE European Conference on Networks and Communications (EuCNC).
Bruno Blanchet, Modeling and Verifying Security Protocols with the Applied Pi Calculus and ProVerif”, Foundations and Trends in Privacy and Security, 2016, Volume 1, 4 issues, 2016
Ridhwan Dewoprabowo ; Muhammad Arzaki ; Yanti Rusmawati “, Formal Verification of Divide and Conquer Key Distribution Protocol Using ProVerif and TLA+”, 2018 International Conference on Advanced Computer Science and Information Systems (ICACSIS), 2018. http://dx.doi.org/10.14738/tnc.85.9571 24
Jingjing Zhang, Lin Yang, Weipeng Cao and Qiang Wang, “Formal Analysis of 5G EAP-TLS Authentication Protocol Using Proverif”, IEEE access, Volume: 8, 2020.
B. Blanchet. Proverif: Cryptographic protocol verifier in formal model, http://www.proverif.ens.fr/, accessed on 13/06/2019.
M. Arapinis, et al., New privacy issues in mobile telephony: fix and verification. In ACM Conference on Computer and Communications Security, 2012.p. 205–216.
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Copyright (c) 2020 Bassey Ele, Umoh, E. E., Egete, D. O.

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