A hybrid approach for dynamic intrusion detection in ad hoc networks using genetic algorithm and artificial immune system

Barani, Fatemeh

doi:10.1109/iraniancis.2014.6802607

Cited by 28 publications

(17 citation statements)

References 7 publications

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“…The experimental results demonstrated that it is more efficient when compared to similar approaches [87].…”

Section: Other Ai Applicationsmentioning

confidence: 92%

“…They identified relevant requirements for an ideal cloud based IDPS: autonomic computing selfmanagement, ontology, risk management, and fuzzy theory [24]. Barani (2014) proposed GAAIS -a dynamic intrusion detection method for Mobile ad hoc Networks based on genetic algorithm and artificial AIS. GAAIS is self-adaptable to network topology changes.…”

Section: Other Ai Applicationsmentioning

confidence: 99%

See 1 more Smart Citation

Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

Dilek¹,

Çakır²,

Aydin³

2015

IJAIA

127

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With the advances in information technology (IT) criminals are using cyberspace to commit numerous cyber crimes. Cyber infrastructures are highly vulnerable to intrusions and other threats. Physical devices and human intervention are not sufficient for monitoring and protection of these infrastructures; hence, there is a need for more sophisticated cyber defense systems that need to be flexible, adaptable and robust, and able to detect a wide variety of threats and make intelligent real-time decisions. Numerous bio-inspired computing methods of Artificial Intelligence have been increasingly playing an important role in cyber crime detection and prevention. The purpose of this study is to present advances made so far in the field of applying AI techniques for combating cyber crimes, to demonstrate how these techniques can be an effective tool for detection and prevention of cyber attacks, as well as to give the scope for future work.

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“…The experimental results demonstrated that it is more efficient when compared to similar approaches [87].…”

Section: Other Ai Applicationsmentioning

confidence: 92%

Section: Other Ai Applicationsmentioning

confidence: 99%

Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

Dilek¹,

Çakır²,

Aydin³

2015

IJAIA

127

View full text Add to dashboard Cite

show abstract

“…In the work [22], a methodology named Genetic Algorithm (GA) and Artificial Immune System (AIS) (GAAIS) is proposed, for dynamic intrusion recognition in AODV-based MANETs. The execution of GAAIS is evaluated for recognizing a couple of sorts of directing attacks reenacted using the NS2 test framework, for instance, Flooding, Blackhole, Neighbor, Surging, and Wormhole.…”

Section: Comparative Study Of Defense Approaches In Current Scenariomentioning

confidence: 99%

Challenges of Information Security in the Contemporary Cyber Threat Perception

2019

IJITEE

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Information security comprises advancements, methods and practices proposed to guarantee protection of system hubs, programs, information, data and system from hack assaults, modifications to data or unintended access. To repress cybercriminals from gaining access to system resources specifically sensitive data, it is fundamental for organizations and individuals to take necessary actions to preserve the confidentiality, integrity and availability of delicate data. Information security spreads complex strategies to safeguard not only data during transmission, but also data stored in the system even when the system is not connected to the internet. In other words, it encompasses security of both data at rest and data in transmission. Numerous strategies have been employed by the professionals to protect organizations and records from interlopers. To deal with malevolent projects, there are a great deal of "off the rack" just as tweaked items accessible in the market which additionally give ongoing barrier and security to the delicate and sensitive data. There is still absence of techniques on the most capable strategy to appear and execute tasks that can be accustomed to the activities taking place at real time. This paper focuses on looking into the present methodologies used to give digital security, and identify the various loopholes in the present situation

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“…Dilek et al [12] discussed Artificial Intelligence (AI) techniques to detect cyber-attacks like DDoS. In [13] both AI and Genetic Algorithm (GA) are used in order to have protection from different attacks. Intrusion detection methods in IoT [14], [17] and cyber security mechanisms [15], botnet control traffic detection [16], attack detection in Wireless Sensor Networks (WSNs) [18], Hybrid approach in attack detection in MANET [19] and detection methods for virtual jamming methods [20] are other solutions found in literature.…”

Section: Figure 1: Ddos Flooding Attack Scenario [21]mentioning

confidence: 99%

A Hybrid Model for Detecting DDoS Attacks in Wide Area Networks

Arshad¹,

Hussain²

2019

IJRTE

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Wide Area Networks (WANs) are subjected massive Denial of Service (DoS) attacks known as Distributed Denial of Service (DDoS) attacks. There are many distributed computing use cases in the real world. They include banking, insurance, e-Commerce and a host of other applications. In distributed environments, these applications are targeted by adversaries for launching DDoS attacks of various kinds. Such attacks cause the servers to be very busy answering fake traffic from the compromised nodes used by attackers from behind the scene. Large number of computers over Internet are compromised by attackers and through such machines DDoS attack is made. The server machines that provide services to genuine users become victims of such attacks. Detecting DDoS attacks is difficult in the presence of flash crowds that resembles DDoS traffic. As there are different kinds of DDoS attacks, it is understood, from the literature, that there is need for further research to have a comprehensive framework for detecting different kinds of DDoS attacks. In this paper we proposed a hybrid approach for detecting various kinds of DDoS attacks and simulation study is made to have proof of the concept. The results of the experiments revealed that the proposed methodology is useful to detect DDoS attacks in wide area networks.

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A hybrid approach for dynamic intrusion detection in ad hoc networks using genetic algorithm and artificial immune system

Cited by 28 publications

References 7 publications

Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

Applications of Artificial Intelligence Techniques to Combating Cyber Crimes: A Review

Challenges of Information Security in the Contemporary Cyber Threat Perception

A Hybrid Model for Detecting DDoS Attacks in Wide Area Networks

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