Detecting flooding based DoS attack in cloud computing environment using covariance matrix approach

Ismail, Mohd Nazri; Aborujilah, Abdulaziz; Musa, Shahrulniza; Shahzad, Aamir

doi:10.1145/2448556.2448592

Cited by 36 publications

(21 citation statements)

References 6 publications

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“…The distribution ratio of the entropy is utilized to determine flow of attack. Ismail et al [21] proposed a model for detecting DDoS attack in the cloud environment using covariance matrix. Similar research work in statistical based cloud IDS are the work of Gupta and Kumar [22] and Shamsomoali and Zareapoor [23].…”

Section: Statistical-based Techniquementioning

confidence: 99%

See 1 more Smart Citation

Intrusion Detection Techniques in Cloud Computing: A Review

Ibrahim¹,

Zainal²

2018

IJCA

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In this paper a review of cloud-based intrusion detection system was provided. The review gives a detailed taxonomy of the existing approaches adopted by researchers in cloud intrusion detection system. The components of the taxonomy are the detection domain, detection technique, strategy for creating normal profile the architectural structure adopted by the intrusion detection system and the detection time. Based on the review open problems and research direction in cloud intrusion detection was provided. General TermsReview

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Section: Statistical-based Techniquementioning

confidence: 99%

“…Because a standalone IDS monitors a network or host independently its capability to detect coordinated attacks is limited. In the cloud a number of research work is conducted on standalone IDS [9,15,20,21,22,23,28,29,30].…”

Section: Standalonementioning

confidence: 99%

Intrusion Detection Techniques in Cloud Computing: A Review

Ibrahim¹,

Zainal²

2018

IJCA

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“…This approach assumes that a node will have the available bandwidth to send an alert when it is under attack. In [52], a simple IDPS that uses a statistical method to create and apply a covariance matrix of network behaviour is proposed. Current network behaviour is compared to the created model, while the TTL of packets is used to identify the source of the attack.…”

Section: Systems For Defending Against Ddos In the Cloudmentioning

confidence: 99%

Intrusion Detection and Countermeasure of Virtual Cloud Systems - State of the Art and Current Challenges

Carlin¹,

Hammoudeh²,

Aldabbas³

2015

ijacsa

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Abstract-Clouds are distributed Internet-based platforms that provide highly resilient and scalable environments to be used by enterprises in a multitude of ways. Cloud computing offers enterprises technology innovation that business leaders and IT infrastructure managers can choose to apply based on how and to what extent it helps them fulfil their business requirements. It is crucial that all technical consultants have a rigorous understanding of the ramifications of cloud computing as its influence is likely to spread the complete IT landscape. Security is one of the major concerns that is of practical interest to decision makers when they are making critical strategic operational decisions. Distributed Denial of Service (DDoS) attacks are becoming more frequent and effective over the past few years, since the widely publicised DDoS attacks on the financial services industry that came to light in September and October 2012 and resurfaced in the past two years. In this paper, we introduce advanced cloud security technologies and practices as a series of concepts and technology architectures, from an industry-centric point of view. This is followed by classification of intrusion detection and prevention mechanisms that can be part of an overall strategy to help understand identify and mitigate potential DDoS attacks on business networks. The paper establishes solid coverage of security issues related to DDoS and virtualisation with a focus on structure, clarity, and well-defined blocks for mainstream cloud computing security solutions and platforms. In doing so, we aim to provide industry technologists, who may not be necessarily cloud or security experts, with an effective tool to help them understand the security implications associated with cloud adoption in their transition towards more knowledge-based systems.

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“…In [16], a method that depends on covariance-matrix was used to detect DoS attacks. This method was proven to be highly effective in detecting DoS attacks that are based on flooding.…”

Section: Denial-of-servicementioning

confidence: 99%

Securing the Cloud: Threats, Attacks and Mitigation Techniques

Alani

2014

JACST

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This paper is aimed to present information about the most current threats and attacks on cloud computing, as well as security measures. The paper discusses threats and attacks that are most effective on cloud computing such as data breach, data loss, service traffic hijacking..etc. The severity and effect of these attacks are discussed along with real-life examples of these attacks. The paper also suggests mitigation techniques that can be used to reduce or eliminate the risk of the threats discussed. In addition, general cloud security recommendations are given.

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Detecting flooding based DoS attack in cloud computing environment using covariance matrix approach

Cited by 36 publications

References 6 publications

Intrusion Detection Techniques in Cloud Computing: A Review

Intrusion Detection Techniques in Cloud Computing: A Review

Intrusion Detection and Countermeasure of Virtual Cloud Systems - State of the Art and Current Challenges

Securing the Cloud: Threats, Attacks and Mitigation Techniques

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