Quantifying Resistance to the Sybil Attack

Margolin, N. Boris; Levine, Brian Neil

doi:10.1007/978-3-540-85230-8_1

Cited by 24 publications

(12 citation statements)

References 43 publications

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“…MC-DCA is used as a shelter for the protection of data from malicious or Sybil nodes. In [14] authors proposed a scheme to detect the Sybil attacks. In this, fee is charged to each node which is willing to participate in the network.…”

Section: Related Workmentioning

confidence: 99%

Enhanced lightweight sybil attack detection technique

Sharma

Garg

2014

2014 5th International Conference - Confluence the Next Generation Information Technology Summit (Confluence)

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Mobile Ad hoc network comprises of many nodeswhich interact with each other through wireless links. It is infrastructure less in nature, due to which attackers can easily attack on the network from any side. There are many attacks which ruin the communication among the nodes of network. Among those attacks there is a Sybil attack that causes severe hazards to the network. Sybil attack is an attack which uses many identities at a time or one identity at a time. The identities used by Sybil attackers are either created by it or uses someone else's identity. This attack can decrease the trust of any legitimate node by using identity of that node and accumulate the secret or important data. Sybil attackers distribute secret data in other networks and it reduces the secrecy of network. In this way, Sybil attackers cause immeasurable loss to a network. In this research, Enhanced lightweight Sybil attack detection technique is discussed which is used to detect Sybil attack. Tool used for simulation is MATLAB.

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Section: Related Workmentioning

confidence: 99%

Enhanced lightweight sybil attack detection technique

Sharma

Garg

2014

2014 5th International Conference - Confluence the Next Generation Information Technology Summit (Confluence)

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“…However, the certification authority (CA) suffering from an expensive initial installation setup is deficient in its scalability and is vulnerable to single point intentional (attack) and unintentional (failure) shutdowns [1,22,23].…”

Section: Trusted Third Party or Certification Authoritymentioning

confidence: 99%

Identity attack detection system for 802.11-based ad hoc networks

Faisal

Abbas

Rahman

2018

J Wireless Com Network

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Due to the lack of centralized identity management and the broadcast nature of wireless ad hoc networks, identity attacks are always tempting. The attackers can create multiple illegitimate (arbitrary or spoofed) identities on their physical devices for various malicious reasons, such as to launch Denial of Service attacks and to evade detection and accountability. In one scenario, the attacker creates more than one identity on a single physical device, which is called a Sybil attack. In the other one, the attacker creates cloned/replicated nodes. We refer collectively to these attacks as identity attacks. Using these malicious techniques, the attacker would perform activities in the network for which the attacker may not be authorized. In the existing literature, these attacks are often counteracted separately. However, in this paper, we propose a solution to counteract both attacks jointly. Our proposed scheme uses the received signal strength for the detection without using extra hardware (such as GPS, antennae or air monitors) and centralized entities (such as trusted third party or certification authority). Upon the detection of malicious identities, they will be quarantined and will be blacklisted for future data communication by the mobile nodes. Our proposed attack detector detects the presence of Sybil attacks and replication attacks locally by analysing the received signal strength captured by each node. Moreover, we propose a technique that will identify these attacks in the overall network. In both local and global cases, we evaluate our solutions theoretically and via simulation in NS-2. The obtained results demonstrate that it is possible to detect identity attacks with considerable accuracy without causing extra overhead in the form of extra hardware, periodic beacons or expensive localization operations in the wireless ad hoc networks.

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“… Sybil Attack [7]  Identity Threat [8]  Wormhole Attack  Distributed Denial of Service (DDoS) Attack  Jamming Assault  Traffic Overloading  Any lots of other assaults…”

Section: Evaluation Of Security Aspects In Cloudmentioning

confidence: 99%

Effectual Approach for Cloud Data Center Security using Metaheuristic based Global Optimization

Waili

2018

eduj

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Cloud Computing is emerging as one of the high performance and integrity aware area in the distributed and grid based computing environment. Enormous computing and technology based services are delivered and disseminated throughout the globe using cloud implementations because of increasing usage of technology products. As these products and devices are quite costly to purchase, cloud computing gives the option to hire the computing infrastructure with per usage base. As cloud computing is escalating by number of services, there are lots of issues regarding vulnerability and integrity in the data centers from where these cloud services are disseminated. This research manuscript presents and implements a unique and effectual approach for security of data centers using dynamic approach for encryption during communication and accessing the cloud services. The results in the projected novel approach are effective in terms of cost, complexity and overall performance. The projected novel approach is using nature inspired approach River formation dynamics Metaheuristic Approach for the enhancement of results and performance. Keywords – Cloud Computing, Cloud of Things, Nature Inspired Approach, Network Security, River formation dynamics Metaheuristic Approach

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Quantifying Resistance to the Sybil Attack

Cited by 24 publications

References 43 publications

Enhanced lightweight sybil attack detection technique

Enhanced lightweight sybil attack detection technique

Identity attack detection system for 802.11-based ad hoc networks

Effectual Approach for Cloud Data Center Security using Metaheuristic based Global Optimization

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