Abstract
Nowadays the internet has made a momentous impact on our daily life but we are not safe enough in the internet world. Last two decades, network security scholars have shown several innovative and practical solutions to save us from network and internet attacks. Among all the internet threats denial-of-service (DoS) and distributed denial-of-service (DDoS) attacks are considered the most notorious and devastating ones. These attacks are one of the main threats that are a serious security problem for today’s internet. To exhaust the resources of target networks, these attacks are launched by generating a huge amount of network traffic. This study proposes a new model for real-time intrusion prevention systems for DDoS attacks. It is true that creative attackers are continuously developing effective attacking tools and techniques to impose maximum damage due to the rapid technological advancement. The proposed Efficient Detection System of Network Intrusion (EDSONI) model makes use of both the detection and prevention of this malicious activity properly. CICIDS2017 dataset has been applied to this proposed system to experiment with the detection and prevention performance.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Aldibotnet, DDoS Attack Tools, 2012. https://asert.arbornetworks.com/ddos-tools
Behal S, Kumar K (2017) Characterization and comparison of DDoS attack tools and traffic generations: a review. IJ Netw Secur 19(3):383–393
DDoS Attack on Bank of Greece https://www.hackread.com/anonymous-ddos-attack-bank-greece-website-down/. Accessed 8 June 2018
eSecurity Planet, 4 May 2017, www.esecurityplanet.com/network-security/types-of-ddos-attacks.html. Accessed 11 June 2018
GitHub engineering, DDoS incident Report. https://githubengineering.com/ddos-incident-report/. Accessed 9 June 2018
Github (2013), DDoS Attack Tools. https://github.com/
Hacker group ‘Anonymous’ claims credit for federal cyber-attacks. http://ottawacitizen.com/news/politics/federal-computer-servers-cyber-attacked-clement. Accessed 9 June 2018
HSBC internet banking services down after DDoS attack. https://www.theguardian.com/money/2016/jan/29/hsbc-online-banking-cyber-attack. Accessed 9 June 2018
Kali Linux Tutorials (2011) THC-SSL-DoS—a denial of service tool against secure web-servers and for Testing SSL-Renegotiation. https://www.thc.org/thc-ssl-dos
Kritikos K, Kirkham T, Kryza B, Massonet P (2017) Towards a security-enhanced PaaS platform for multi-cloud applications. Futur Gener Comput Syst 67:206–226
Hu L, Bi X (2011) Research of DDoS attack mechanism and its defense frame. In: Computer research and development (ICCRD), 3rd international conference, pp 440–442
Melbourne IT, DDoS Attacks of 2017 https://www.tripwire.com/state-of-security/featured/5-notable-ddos-attacks-2017/. Accessed 9 June 2018
Mittal A, et al (2011) A review of DDOS attack and its countermeasures in TCP based networks. Int J Comput Sci Eng Surv (IJCSES) 2. https://doi.org/10.5121/ijcses.2011.2413
Ferguson P, Senie D (1998) Network ingress filtering: defeating denial of service attacks which employ IP source address spoofing. In: RFC 2267, the internet engineering task force (IETF)
Packet Storm (2015) DDoS Attack Tools. http://packetstormsecurity.org
Sharafaldin I, et al (2018) Toward generating a new intrusion detection dataset and intrusion traffic characterization. In: Proceedings of the 4th international conference on information systems security and privacy (ICISSP)
Shruthi P (2017) Network security in digitalization: attacks and defence. Int J Res Comput Appl Robot
Sourceforge (2012) DDoS Attack Tools. http://sourceforge.net/projects
UK National Lottery (2017) DDoS Attacks of 2017 https://www.tripwire.com/state-of-security/featured/5-notable-ddos-attacks-2017/. Accessed 9 June 2018
Vinko Z, KF, VS (2017) Denial of service attacks, defenses and research challenges. Springer Science Business Media New York. https://doi.org/10.1007/s10586-017-0730-x
Web attack knocks BBC websites offline https://www.bbc.com/news/technology-35204915. Accessed 9 June 2018
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Ali, M.N.B., Hossain, M.E., Bhuiyan, T., Hoque, M.S., Karthikeyan, J. (2022). A New Model for Real-Time Intrusion Prevention Systems for DDoS Attacks. In: Goyal, V., Gupta, M., Mirjalili, S., Trivedi, A. (eds) Proceedings of International Conference on Communication and Artificial Intelligence. Lecture Notes in Networks and Systems, vol 435. Springer, Singapore. https://doi.org/10.1007/978-981-19-0976-4_7
Download citation
DOI: https://doi.org/10.1007/978-981-19-0976-4_7
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-0975-7
Online ISBN: 978-981-19-0976-4
eBook Packages: EngineeringEngineering (R0)