Application of Grounded Theory in Determining Required Elements for IPv6 Risk Assessment Equation

Rosli, Athirah; Taib, Abidah Mat; Ali, Wan Khairuddin Wan; Hamid, Ros Syamsul

doi:10.1051/matecconf/201815006005

Cited by 2 publications

(2 citation statements)

References 17 publications

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“…IPv6 implementation has sparked security challenges among network administrators. In order to improve network security, thereby, the administrator needs an effective approach for determining possible threats that can happen in networks [16], [17].…”

Section: Figure 1 Users Reaching Google Services Over Ipv6mentioning

confidence: 99%

Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review

AIghuraibawi

Abdullah

Manickam

et al. 2021

IJECE

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Security network systems have been an increasingly important discipline since the implementation of preliminary stages of Internet Protocol version 6 (IPv6) for exploiting by attackers. IPv6 has an improved protocol in terms of security as it brought new functionalities, procedures, i.e., Internet Control Message Protocol version 6 (ICMPv6). The ICMPv6 protocol is considered to be very important and represents the backbone of the IPv6, which is also responsible to send and receive messages in IPv6. However, IPv6 Inherited many attacks from the previous internet protocol version 4 (IPv4) such as distributed denial of service (DDoS) attacks. DDoS is a thorny problem on the internet, being one of the most prominent attacks affecting a network result in tremendous economic damage to individuals as well as organizations. In this paper, an exhaustive evaluation and analysis are conducted anomaly detection DDoS attacks against ICMPv6 messages, in addition, explained anomaly detection types to ICMPv6 DDoS flooding attacks in IPv6 networks. Proposed using feature selection technique based on bio-inspired algorithms for selecting an optimal solution which selects subset to have a positive impact of the detection accuracy ICMPv6 DDoS attack. The review outlines the features and protection constraints of IPv6 intrusion detection systems focusing mainly on DDoS attacks.

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Section: Figure 1 Users Reaching Google Services Over Ipv6mentioning

confidence: 99%

Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review

AIghuraibawi

Abdullah

Manickam

et al. 2021

IJECE

View full text Add to dashboard Cite

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“…Mobility options and security support were among the concerns addressed during the IPv6 transition and the Internet Engineering Task Force worked hard to improve IPv6 over IPv4 [5]. On the other hand, the implementation of IPv6 has created security issues for networks, require to find efficient methods for identifying and being aware of the need to predict vulnerability in the IPv6 network, however, must use a robust algorithm to identify vulnerability and comprehend the network's specifications [6]. As shown in Fig.…”

Section: Introductionmentioning

confidence: 99%

Feature Selection for Detecting ICMPv6-Based DDoS Attacks Using Binary Flower Pollination Algorithm

Hasan Bdair Aighuraibawi,

Manickam,

Abdullah

et al. 2023

Computer Systems Science and Engineering

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Internet Protocol version 6 (IPv6) is the latest version of IP that goal to host 3.4 × 10 38 unique IP addresses of devices in the network. IPv6 has introduced new features like Neighbour Discovery Protocol (NDP) and Address Auto-configuration Scheme. IPv6 needed several protocols like the Address Auto-configuration Scheme and Internet Control Message Protocol (ICMPv6). IPv6 is vulnerable to numerous attacks like Denial of Service (DoS) and Distributed Denial of Service (DDoS) which is one of the most dangerous attacks executed through ICMPv6 messages that impose security and financial implications. Therefore, an Intrusion Detection System (IDS) is a monitoring system of the security of a network that detects suspicious activities and deals with a massive amount of data comprised of repetitive and inappropriate features which affect the detection rate. A feature selection (FS) technique helps to reduce the computation time and complexity by selecting the optimum subset of features. This paper proposes a method for detecting DDoS flooding attacks (FA) based on ICMPv6 messages using a Binary Flower Pollination Algorithm (BFPA-FA). The proposed method (BFPA-FA) employs FS technology with a support vector machine (SVM) to identify the most relevant, influential features. Moreover, The ICMPv6-DDoS dataset was used to demonstrate the effectiveness of the proposed method through different attack scenarios. The results show that the proposed method BFPA-FA achieved the best accuracy rate (97.96%) for the ICMPv6 DDoS detection with a reduced number of features (9) to half the total (19) features. The proven proposed method BFPA-FA is effective in the ICMPv6 DDoS attacks via IDS.

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Application of Grounded Theory in Determining Required Elements for IPv6 Risk Assessment Equation

Cited by 2 publications

References 17 publications

Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review

Detection of ICMPv6-based DDoS attacks using anomaly based intrusion detection system: A comprehensive review

Feature Selection for Detecting ICMPv6-Based DDoS Attacks Using Binary Flower Pollination Algorithm

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