Catabolism attack and Anabolism defense: A novel attack and traceback mechanism in Opportunistic Networks

Alajeely, Majeed; Doss, Robin; Ahmad, Asma'a; Mak‐Hau, Vicky

doi:10.1016/j.comcom.2015.10.004

Cited by 8 publications

(4 citation statements)

References 3 publications

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“…The authors in [167], [169], [196] propose a Merkle-Hash-Tree to detect a malicious nodes which drop packet and add fake packets. It calculates root hash, and then appends it with every packets.…”

Section: Review Of Literaturementioning

confidence: 99%

A taxonomy on misbehaving nodes in delay tolerant networks

Khalid

Ullah

Ahmed

et al. 2018

Computers & Security

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Delay Tolerant Networks (DTNs) are type of Intermittently Connected Networks (ICNs) featured by long delay, intermittent connectivity, asymmetric data rates and high error rates. DTNs have been primarily developed for InterPlanetary Networks (IPNs), however, have shown promising potential in challenged networks i.e. DakNet, ZebraNet, KioskNet and WiderNet. Due to unique nature of intermittent connectivity and long delay, DTNs face challenges in routing, key management, privacy, fragmentation and misbehaving nodes. Here, misbehaving nodes i.e. malicious and selfish nodes launch various attacks including flood, packet drop and fake packets attack, inevitably overuse scarce resources (e.g., buffer and bandwidth) in DTNs. The focus of this survey is on a review of misbehaving node attacks, and detection algorithms. We firstly classify various of attacks depending on the type of misbehaving nodes. Then, detection algorithms for these misbehaving nodes are categorized depending on preventive and detective based features. The panoramic view on misbehaving nodes and detection algorithms are further analyzed, evaluated mathematically through a number of performance metrics. Future directions guiding this topic are also presented.

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Section: Review Of Literaturementioning

confidence: 99%

A taxonomy on misbehaving nodes in delay tolerant networks

Khalid

Ullah

Ahmed

et al. 2018

Computers & Security

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“…M. Alajeely et al [61] proposed a scheme to detect and counter a kind of packet dropping attack. Here, the authors called the attack and defence mechanisms; catabolism attack and anabolism defence, respectively.…”

Section: A Oppnets Intrusion Detection Schemesmentioning

confidence: 99%

Securing and Facilitating Communication Within Opportunistic Networks: A Holistic Survey

2021

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Opportunistic Networks is a new concept that is increasingly gaining ground since it appears as a concrete example of the Internet of Things, Internet of Vehicles, Industrial Internet of Things, and the Internet of Everything with Mobile ad hoc Networks' characteristics. An Opportunistic Network starts with a Seed OppNet that sets up the network; expands from the Seed OppNet to an extended Seed OppNet through devices' discovery. The characteristics of Opportunistic Networks make OppNets more challenging than any other networks. So, a deep understanding of OppNets' characteristics and demands is an unavoidable precondition before proposing any OppNets related scheme. However, under OppNets' constraints, the relevance of the Opportunistic Networks related articles in literature is yet to be established. Also, most surveys tackling Opportunistic Networks do not give a complete insight into what Opportunistic Networks stand for. This work reviews state of the art on Opportunistic Networks providing three main contributions. First, resorting to the primary definition of Opportunistic Networks, it elucidates what OppNets are, pointing out the particularities of an OppNet, its domains of applications, and challenges. Second, it provides a comprehensive review that encompasses most Opportunistic Networks' research areas: routing, intrusion detection, authentication, privacy protection, data aggregation, and the technology for OppNets, organising them in a taxonomy. Third, it evaluates the role of the Seed OppNet in Opportunistic Networks related schemes. Any proposed OppNets related scheme, to be relevant to OppNets' research, should include OppNets' characteristics and demands.

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“…While the methods discussed above can only detect blackhole attackers, Alajeely et al [117] introduce a new type of greyhole attack called Catabolism attack in which adversary nodes drop some received messages and inject new fake messages instead. To deal with this attack, a defense mechanism called Anabolism is proposed where a hash chain model is applied to detect the malicious nodes.…”

Section: B Malicious Node Attack Detection Mechanismsmentioning

confidence: 99%

A Survey on Human-Centric Communications in Non-Cooperative Wireless Relay Networks

Jedari

Xia

Ning

2018

IEEE Commun. Surv. Tutorials

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The performance of data delivery in wireless relay networks (WRNs), such as delay-tolerant networks and device-todevice communications heavily relies on the cooperation of mobile nodes (i.e., users and their carried devices). However, selfish nodes may refuse to relay data to others or share their resources with them due to various reasons, such as resource limitations or social preferences. Meanwhile, misbehaving nodes can launch different types of internal attacks (e.g., blackhole and trustrelated attacks) to disrupt the normal operation of the network. Numerous mechanisms have been recently proposed to establish secure and efficient communications in WRNs in the presence of selfish and malicious nodes (referred as non-cooperative WRNs). In this paper, we present an in-depth survey on human-centric communication challenges and solutions in the non-cooperative WRNs that focuses on: (1) an overview of the non-cooperative WRNs and introduction to various types of node selfish and malicious behaviors, (2) the impact analysis of node selfish and malicious behaviors on the performance of data forwarding and distribution, (3) selfish and malicious node detection and defense systems, and (4) incentive mechanisms. Finally, we discuss several open problems and future research challenges.

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Catabolism attack and Anabolism defense: A novel attack and traceback mechanism in Opportunistic Networks

Cited by 8 publications

References 3 publications

A taxonomy on misbehaving nodes in delay tolerant networks

A taxonomy on misbehaving nodes in delay tolerant networks

Securing and Facilitating Communication Within Opportunistic Networks: A Holistic Survey

A Survey on Human-Centric Communications in Non-Cooperative Wireless Relay Networks

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