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Fuzzy logic-based DDoS attacks and network traffic anomaly detection methods: Classification, overview, and future perspectives.

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Title: Fuzzy logic-based DDoS attacks and network traffic anomaly detection methods: Classification, overview, and future perspectives.
Authors: Javaheri, Danial1 (AUTHOR) javaheri@chosun.ac.kr, Gorgin, Saeid1 (AUTHOR) gorgin@chosun.ac.kr, Lee, Jeong-A1 (AUTHOR) jalee@chosun.ac.kr, Masdari, Mohammad1,2 (AUTHOR) m.masdari@iaurmia.ac.ir
Source: Information Sciences. May2023, Vol. 626, p315-338. 24p.
Subjects: Denial of service attacks, Anomaly detection (Computer security), Traffic monitoring, Cyberterrorism, Computer systems, System failures, Quality of service, Data security
Abstract: Nowadays, cybersecurity challenges and their ever-growing complexity are the main concerns for various information technology-driven organizations and companies. Although several intrusion detection systems have been introduced in an attempt to deal with zero-day cybersecurity attacks, computer systems are still highly vulnerable to various types of distributed denial of service (DDoS) attacks. This complicated cyber-attack caused many system failures and service disruptions, resulting in billions of dollars of financial loss and irrecoverable reputation damage in recent years. Considering the nonnegligible importance of business continuity in the Industry 4.0 era, this paper presents a comprehensive, systematic survey of DDoS attacks. It also proposes a hierarchy for this severe cyber threat, besides conducting deep comparisons from various perspectives between the studies published by reputed venues in this area. Furthermore, this paper recommends the most effective defensive strategies, with a focus on recently offered fuzzy-based detection methods, to mitigate such threats and bridge the gaps existing in the current intrusion detection systems and related works. The outcomes and key findings of this survey paper are highly advantageous for private companies, enterprises, and government agencies to be implemented in their local or global businesses to significantly improve business sustainability. [ABSTRACT FROM AUTHOR]
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Database: Engineering Source
Description
Abstract:Nowadays, cybersecurity challenges and their ever-growing complexity are the main concerns for various information technology-driven organizations and companies. Although several intrusion detection systems have been introduced in an attempt to deal with zero-day cybersecurity attacks, computer systems are still highly vulnerable to various types of distributed denial of service (DDoS) attacks. This complicated cyber-attack caused many system failures and service disruptions, resulting in billions of dollars of financial loss and irrecoverable reputation damage in recent years. Considering the nonnegligible importance of business continuity in the Industry 4.0 era, this paper presents a comprehensive, systematic survey of DDoS attacks. It also proposes a hierarchy for this severe cyber threat, besides conducting deep comparisons from various perspectives between the studies published by reputed venues in this area. Furthermore, this paper recommends the most effective defensive strategies, with a focus on recently offered fuzzy-based detection methods, to mitigate such threats and bridge the gaps existing in the current intrusion detection systems and related works. The outcomes and key findings of this survey paper are highly advantageous for private companies, enterprises, and government agencies to be implemented in their local or global businesses to significantly improve business sustainability. [ABSTRACT FROM AUTHOR]
ISSN:00200255
DOI:10.1016/j.ins.2023.01.067