Net Scan: Web-based Network Scanning Tool
DOI:
https://doi.org/10.61841/dk0cj430Keywords:
TCP, SYN, ACK, Port, Scanner, ICMP, Net ScanAbstract
Cyber security has been highlighted in recent years due to the increasing number of cyber-attacks and the impact it can cause which affect national security. To improve cyber security, network scanning tools are essential where it is used for gathering information about the actual state of a system or network. Therefore, we will examine common modules included in a network scanning tool and 6 common port scanning techniques. In this paper, the differences of existing and proposed system will also be discussed where the proposed system is a webbased network scanning tool named Net Scan which is able to perform host discovery, operating system detection, open ports and services, and trace route
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References
[1] Sun-young Im, S.-H. S.-h. (2016). Performance Evaluation of Network Scanning Tools with Operation of
Firewall. IEEE, 876-881.
[2] G.Murali, M. Y. K., 2011. Network Security Scanner. IJCTA, Volume 2, pp. 1800-1805.
[3] Igor Jochem Sanz, M. A. L. D. M. F. M. O. C. M. B. D., 2017. A Cooperation-Aware Virtual Network
Function for Proactive Detection of Distributed Port Scanning. 2017 1st Cyber Security in Networking
Conference (CSNet), pp. 1-8.
[4] InfoSec Institute, 2013. Port Scanning using Scapy. [Online] Available
at:https://resources.infosecinstitute.com/port-scanning-using-scapy/#gref.
[5] Online-Domain-Tools.com, 2018. Nmap Online Scanner. [Online] Available at: http://nmap.online-domaintools.com/.
[6] NMAP.org, 2018. Nmap Security Scanner. [Online] Available at: https://nmap.org/.
[7] P. Mary Jeyanthi, Santosh Shrivastava Kumar “The Determinant Parameters of Knowledge Transfer among
Academicians in Colleges of Chennai Region”, Theoretical Economics Letters, 2019, 9, 752-760, ISSN
Online: 2162-2086.
[8] P. Mary Jeyanthi, “An Empirical Study of Fraudulent and Bankruptcy in Indian Banking Sectors”, The
Empirical Economics Letters, Vol.18; No. 3, March 2019.
[9] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Hybrid Metaheuristic techniques”, International
Journal of Business Intelligence Research, - Volume 5, Issue 1, April-2014.
[10] P. Mary Jeyanthi, “INDUSTRY 4.O: The combination of the Internet of Things (IoT)and the Internet of People
(IoP)”, Journal of Contemporary Research in Management, Vol.13; No. 4 Oct-Dec, 2018, ISSN: 0973-9785.
[11] P. Mary Jeyanthi, "The transformation of Social media information systems leads to Global business: An
Empirical Survey", International Journal of Technology and Science (IJTS), issue 3, volume 5, ISSN Online:
2350-1111
[12] P. Mary Jeyanthi,” An Empirical Study of Fraud Control Techniques using Business Intelligence in Financial
Institutions”, Vivekananda Journal of Research Vol. 7, Special Issue 1, May 2018, ISSN 2319-8702(Print),
ISSN 2456-7574(Online).
[13] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Artificial bear Optimization
Approach”, International Journal of Scientific & Engineering Research, Volume 4, Issue 8, August-2013.
[14] 8. Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Optimization techniques for Decision
Making”, International Journal of Engineering Research and Technology, Volume 2, Issue 8, August-2013
[15] Mary Jeyanthi, S and Karnan, M.: “A New Implementation of Mathematical Models with metaheuristic
Algorithms for Business Intelligence”, International Journal of Advanced Research in Computer and
Communication Engineering, Volume 3, Issue 3, March-2014.
[16] Dr. Mary Jeyanthi: “Partial Image Retrieval Systems in Luminance and Color Invariants: An Empirical Study”,
International Journal of Web Technology (ISSN: 2278-2389) – Volume-4, Issue-2.
[17] Dr. Mary Jeyanthi: “CipherText Policy attribute-based Encryption for Patients Health Information in Cloud
Platform”, Journal of Information Science and Engineering (ISSN: 1016-2364)
[18] Mary Jeyanthi, P, Adarsh Sharma, Purva Verma: “Sustainability of the business and employment generation in
the field of UPVC widows” (ICSMS2019).
[19] Mary Jeyanthi, P: “An Empirical Survey of Sustainability in Social Media and Information Systems across
emerging countries”, International Conference on Sustainability Management and Strategy” (ICSMS2018).
[20] Mary Jeyanthi, P: “Agile Analytics in Business Decision Making: An Empirical Study”, International
Conference on Business Management and Information Systems” (ICBMIS2015).
[21] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence – soft computing Techniques”, International
Conference on Mathematics in Engineering & Business Management (ICMEB 2012).
[22] Mary Jeyanthi, S and Karnan, M.: “A Comparative Study of Genetic algorithm and Artificial Bear
Optimization algorithm in Business Intelligence”, International Conference on Mathematics in Engineering &
Business Management (ICMEB 2012).
[23] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Optimization for Decision Making
”, 2011 IEEE International Conference on Computational Intelligence and Computing Research (2011 IEEE
ICCIC).
[24] Mary Jeyanthi, S and Karnan, M.: “Business Intelligence: Data Mining and Decision making to overcome the
Financial Risk”, 2011 IEEE International Conference on Computational Intelligence and Computing Research
(2011 IEEE ICCIC).
[25] Dr. Mary Jeyanthi, S: “Pervasive Computing in Business Intelligence”, State level seminar on Computing and
Communication Technologies. (SCCT-2015)
[26] Dr.P.Mary Jeyanthi, “Artificial Bear Optimization (ABO) – A new approach of Metaheuristic algorithm for
Business Intelligence”, ISBN no: 978-93-87862-65-4, Bonfring Publication. Issue Date: 01-Apr-2019
[27] Dr.P.Mary Jeyanthi , “Customer Value Management (CVM) – Thinking Inside the box” – ISBN : 978-93-
87862-94-4, Bonfring Publication, Issue Date: 16-Oct-2019
[28] Jeyanthi, P. M., & Shrivastava, S. K. (2019). The Determinant Parameters of Knowledge Transfer among
Academicians in Colleges of Chennai Region. Theoretical Economics Letters, 9(4), 752-760.
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