Denial of service attacks: An overview

Cybersecurity is one of the most important concepts of cyberworld which provides protection to the cyberspace from various types of cybercrimes. This paper provides an updated survey of cybersecurity. We conduct the survey of security of recent prominent researches and categorize the recent incidents in context to various fundamental principles of cybersecurity. We have proposed a new taxonomy of cybercrime which can cover all types of cyberattacks. We have analyzed various cyberattacks as per the updated cybercrime taxonomy to identify the challenges in the field of cybersecurity and highlight various research directions as future work in this field.

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“…DoS/DDoS attack can disrupt the network bandwidth, system resources, and application resources [39].…”

Section: Dos/ddosmentioning

confidence: 99%

Cybercrimes: A Proposed Taxonomy and Challenges

Brar

Kumar²

2018

Journal of Computer Networks and Communications

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“…As shown in Figure , in the reflective DNS attack, DNS requests are issued to the DNS servers, which forward their response to the victim. However, this response is amplified, and its size is larger than the DNS requests .…”

Section: Denial‐of‐service On the Cloud Networking Infrastructurementioning

confidence: 99%

“…Protocol vulnerability exploitation Malformed packet Spoofing Flooding DoS attacks in cloud computing M. Masdari and M. Jalali response is amplified, and its size is larger than the DNS requests [16].…”

Section: Attackmentioning

confidence: 99%

A survey and taxonomy of DoS attacks in cloud computing

Màsdàrí

Jalali

2016

Security Comm. Networks

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Denial‐of‐service (DoS) attacks are one of the major security challenges in the emerging cloud computing models. Currently, numerous types of DoS attacks are conducted against the various cloud services and resources, which target their availability, service level agreements, and performance. This paper presents an in‐depth study of the various types of the DoS attacks proposed for the cloud computing environment and classifies them based on the cloud components or services, which they target. Besides, it provides a comprehensive analysis of the vulnerabilities utilized in these DoS attacks and investigates about the state‐of‐the‐art solutions presented in the literature to prevent, detect, or deal with each kind of DoS attacks in the cloud. Finally, it presents open research issues. Copyright © 2016 John Wiley & Sons, Ltd.

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“…Table 3 shows the network simulated with values used for the parameters required in our approach as in [14][15][16][17][18]. The simulation results are analyzed from two perspectives.…”

Section: Performance Evaluationmentioning

confidence: 99%

“…Another form of the DoS attack is when the adversary node emulates a PU signal (i.e., launches PUEA) to force other nodes to vacate the spectrum. The DoS attack [16] results in degrading other nodes quality of service (QoS). In the collusion attack, multiple adversary nodes agree on targeting benign node(s) in order to eliminate normal behaving nodes.…”

Section: Introductionmentioning

confidence: 99%

A Collaborative Approach for Monitoring Nodes Behavior during Spectrum Sensing to Mitigate Multiple Attacks in Cognitive Radio Networks

Khasawneh

Agarwal

2017

Security and Communication Networks

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Spectrum sensing is the first step to overcome the spectrum scarcity problem in Cognitive Radio Networks (CRNs) wherein all unutilized subbands in the radio environment are explored for better spectrum utilization. Adversary nodes can threaten these spectrum sensing results by launching passive and active attacks that prevent legitimate nodes from using the spectrum efficiently. Securing the spectrum sensing process has become an important issue in CRNs in order to ensure reliable and secure spectrum sensing and fair management of resources. In this paper, a novel collaborative approach during spectrum sensing process is proposed. It monitors the behavior of sensing nodes and identifies the malicious and misbehaving sensing nodes. The proposed approach measures the node's sensing reliability using a value called belief level. All the sensing nodes are grouped into a specific number of clusters. In each cluster, a sensing node is selected as a cluster head that is responsible for collecting sensing-reputation reports from different cognitive nodes about each node in the same cluster. The cluster head analyzes information to monitor and judge the nodes' behavior. By simulating the proposed approach, we showed its importance and its efficiency for achieving better spectrum security by mitigating multiple passive and active attacks.

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Denial of service attacks: An overview

Cited by 13 publications

References 12 publications

Cybercrimes: A Proposed Taxonomy and Challenges

Cybercrimes: A Proposed Taxonomy and Challenges

A survey and taxonomy of DoS attacks in cloud computing

A Collaborative Approach for Monitoring Nodes Behavior during Spectrum Sensing to Mitigate Multiple Attacks in Cognitive Radio Networks

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