Robust Sybil attack detection mechanism for Social Networks - a survey

2016 ◽  
Author(s):  
M.L. Valarmathi ◽  
A. Meenakowshalya ◽  
A. Bharathi
Keyword(s):  
Social Networks ◽  
Attack Detection ◽  
Sybil Attack ◽  
Detection Mechanism

Robust Sybil Attack Detection Mechanism for Social Networks

2018 ◽  
Vol 15 (5) ◽  
pp. 1555-1561 ◽  
Author(s):  
A Bharathi ◽  
D. Yazhini Priyanka ◽  
P Padmapriya ◽  
K Priyadharsnee
Keyword(s):  
Social Networks ◽  
Attack Detection ◽  
Sybil Attack ◽  
Detection Mechanism

scholarly journals SybilEye: Observer-Assisted Privacy-Preserving Sybil Attack Detection on Mobile Crowdsensing

Information ◽  
2020 ◽  
Vol 11 (4) ◽  
pp. 198
Author(s):  
Junhyeok Yun ◽  
Mihui Kim
Keyword(s):  
Mobile Devices ◽  
Privacy Preserving ◽  
Attack Detection ◽  
Sybil Attack ◽  
Detection Mechanism ◽  
Mobile Crowdsensing ◽  
Detection Model ◽  
System A ◽  
Data Processor ◽  
Detection Mechanisms

Mobile crowdsensing is a data collection system using widespread mobile devices with various sensors. The data processor cannot manage all mobile devices participating in mobile crowdsensing. A malicious user can conduct a Sybil attack (e.g., achieve a significant influence through extortion or the generation of fake IDs) to receive an incentive or destroy a system. A mobile crowdsensing system should, thus, be able to detect and block a Sybil attack. Existing Sybil attack detection mechanisms for wireless sensor networks cannot apply directly to mobile crowdsensing owing to the privacy issues of the participants and detection overhead. In this paper, we propose an effective privacy-preserving Sybil attack detection mechanism that distributes observer role to the users. To demonstrate the performance of our mechanism, we implement a Wi-Fi-connection-based Sybil attack detection model and show its feasibility by evaluating the detection performance.

scholarly journals A Fuzzy Collusive Attack Detection Mechanism for Reputation Aggregation in Mobile Social Networks: A Trust Relationship Based Perspective

2016 ◽  
Vol 2016 ◽  
pp. 1-16 ◽  
Author(s):  
Bo Zhang ◽  
Qianqian Song ◽  
Tao Yang ◽  
Zhonghua Zheng ◽  
Huan Zhang
Keyword(s):  
Social Networks ◽  
Social Relationships ◽  
Attack Detection ◽  
Mobile Social Networks ◽  
Malicious Nodes ◽  
Detection Mechanism ◽  
Factor Node ◽  
Similar Factor ◽  
Collusive Attacks ◽  
Collusive Attack

While the mechanism of reputation aggregation proves to be an effective scheme for indicating an individual’s trustworthiness and further identifying malicious ones in mobile social networks, it is vulnerable to collusive attacks from malicious nodes of collaborative frauds. To conquer the challenge of detecting collusive attacks and then identifying colluders for the reputation system in mobile social networks, a fuzzy collusive attack detection mechanism (FCADM) is proposed based on nodes’ social relationships, which comprises three parts: trust schedule, malicious node selection, and detection traversing strategy. In the first part, the trust schedule provides the calculation method of interval valued fuzzy social relationships and reputation aggregation for nodes in mobile social networks; further, a set of fuzzy valued factors, that is, item judgment factor, node malicious factor, and node similar factor, is given for evaluating the probability of collusive fraud happening and identifying single malicious nodes in the second part; and moreover, a detection traversing strategy is given based on random walk algorithm under the perspectives of fuzzy valued nodes’ trust schedules and proposed malicious factors. Finally, our empirical results and analysis show that the proposed mechanism in this paper is feasible and effective.

scholarly journals A QoS-aware Secured Communication Scheme for IoT-based Networks

2019 ◽  
Author(s):  
Fazlullah Khan ◽  
Ateeq ur Rehman ◽  
Abid Yahya ◽  
Mian Ahmad Jan ◽  
Josef Chuma ◽  
...  
Keyword(s):  
Ad Hoc ◽  
Low Cost ◽  
Attack Detection ◽  
Smart Devices ◽  
Sybil Attack ◽  
Mac Layer ◽  
Mobile Nodes ◽  
Detection Mechanism ◽  
Communication Scheme ◽  
Secured Communication

The Internet of Things (IoT) is an emerging technology that aims to enable the interconnection of a large number of smart devices and heterogeneous networks. Ad hoc networks play an important role in the designing of IoT-enabled platforms due to their efficient, flexible, low-cost, and dynamic infrastructures. These networks utilize the available resources efficiently to maintain the Quality of Service (QoS) in a multi-hop communication. However, in a multi-hop communication, the relay nodes can be malicious, thus requiring a secured and reliable data transmission. In this paper, we propose a QoS-aware secured communication scheme for IoT-based networks (QoS-IoT). In QoS-IoT, a Sybil attack detection mechanism is used for the identification of Sybil nodes and their forged identities in multi-hop communication. %by high-power and mobile nodes. After Sybil nodes detection, an optimal contention window (CW) is selected for QoS provisioning, i.e., to achieve per-flow fairness and efficient utilization of the available bandwidth. In a multi-hop communication, the MAC layer protocols do not perform well in terms of fairness and throughput, especially when the nodes generate a large amount of data. It is because the MAC layer has no capability of providing QoS to prioritized or forwarding flows. We evaluate the performance of QoS-IoT in terms of Sybil attack detection, fairness, throughput, and buffer utilization. The simulation results show that the proposed scheme outperforms the existing schemes and significantly enhances the performance of the network with a large volume of data. Moreover, the proposed scheme is resilient against Sybil attack.

scholarly journals Low Complexity Signed Response Based Sybil Attack Detection Mechanism in Wireless Sensor Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
M. Saud Khan ◽  
Noor M. Khan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Computational Cost ◽  
Low Complexity ◽  
Attack Detection ◽  
Wireless Sensor ◽  
Sybil Attack ◽  
Detection Mechanism ◽  
Detection Scheme ◽  
Authentication Mechanism

Security is always a major concern in wireless sensor networks (WSNs). Identity based attacks such as spoofing and sybil not only compromise the network but also slow down its performance. This paper proposes a low complexity sybil attack detection scheme, that is, based on signed response (SRES) authentication mechanism developed for Global System for Mobile (GSM) communications. A probabilistic model is presented which analyzes the proposed authentication mechanism for its probability of sybil attack. The paper also presents a simulation based comparative analysis of the existing sybil attack schemes with respect to the proposed scheme. It is observed that the proposed sybil detection scheme exhibits lesser computational cost and power consumption as compared to the existing schemes for the same sybil detection performance.

scholarly journals A Quality of Service-Aware Secured Communication Scheme for Internet of Things-Based Networks

Sensors ◽  
2019 ◽  
Vol 19 (19) ◽  
pp. 4321 ◽  
Author(s):  
Fazlullah Khan ◽  
Ateeq ur Rehman ◽  
Abid Yahya ◽  
Mian Ahmad Jan ◽  
Joseph Chuma ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Internet Of Things ◽  
Attack Detection ◽  
Smart Devices ◽  
Sybil Attack ◽  
Mac Layer ◽  
Detection Mechanism ◽  
Communication Scheme ◽  
Secured Communication

The Internet of Things (IoT) is an emerging technology that aims to enable the interconnection of a large number of smart devices and heterogeneous networks. Ad hoc networks play an important role in the designing of IoT-enabled platforms due to their efficient, flexible, low-cost and dynamic infrastructures. These networks utilize the available resources efficiently to maintain the Quality of Service (QoS) in a multi-hop communication. However, in a multi-hop communication, the relay nodes can be malicious, thus requiring a secured and reliable data transmission. In this paper, we propose a QoS-aware secured communication scheme for IoT-based networks (QoS-IoT). In QoS-IoT, a Sybil attack detection mechanism is used for the identification of Sybil nodes and their forged identities in multi-hop communication. After Sybil nodes detection, an optimal contention window (CW) is selected for QoS provisioning, that is, to achieve per-flow fairness and efficient utilization of the available bandwidth. In a multi-hop communication, the medium access control (MAC) layer protocols do not perform well in terms of fairness and throughput, especially when the nodes generate a large amount of data. It is because the MAC layer has no capability of providing QoS to prioritized or forwarding flows. We evaluate the performance of QoS-IoT in terms of Sybil attack detection, fairness, throughput and buffer utilization. The simulation results show that the proposed scheme outperforms the existing schemes and significantly enhances the performance of the network with a large volume of data. Moreover, the proposed scheme is resilient against Sybil attack.

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