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 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.

An RSSI-based Sybil attack detection system with continuous authentication using a novel lightweight multimodal biometrics

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
N.V. Brindha ◽  
V.S. Meenakshi
Keyword(s):  
Ad Hoc ◽  
Detection System ◽  
Attack Detection ◽  
Sybil Attack ◽  
Mobile Nodes ◽  
Multimodal Biometrics ◽  
Content Type ◽  
Biometric Technology ◽  
Detection Approach ◽  
A Charge

PurposeAny node in a mobile ad hoc network (MANET) can act as a host or router at any time and so, the nodes in the MANET are vulnerable to many types of attacks. Sybil attack is one of the harmful attacks in the MANET, which produces fake identities similar to legitimate nodes in the network. It is a serious threat to the MANET when a malicious node uses the fake identities to enter the network illegally.Design/methodology/approachA MANET is an independent collection of mobile nodes that form a temporary or arbitrary network without any fixed infrastructure. The nodes in the MANET lack centralized administration to manage the network and change their links to other devices frequently.FindingsSo for securing a MANET, an approach based on biometric authentication can be used. The multimodal biometric technology has been providing some more potential solutions for the user to be able to devise an authentication in MANETs of high security.Research limitations/implicationsThe Sybil detection approach, which is based on the received signal strength indicator (RSSI) variations, permits the node to be able to verify the authenticity of communicating nodes in accordance with their localizations.Practical implicationsAs the MANET node suffers from a low level of memory and power of computation, there is a novel technique of feature extraction that is proposed for the multimodal biometrics that makes use of palm prints that are based on a charge-coupled device and fingerprints, along with the features that are fused.Social implicationsThis paper proposes an RSSI-based multimodal biometric solution to detect Sybil attack in MANETs.Originality/valueThe results of the experiment have indicated that this method has achieved a performance which is better compared to that of the other methods.

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 Novel Algorithm for Enhancing Bitrate in MANET for Topology Based Routing Protocol

2019 ◽  
Vol 9 (1) ◽  
pp. 2655-2662
Keyword(s):  
Routing Protocols ◽  
Ad Hoc ◽  
Mobile Network ◽  
Performance Comparison ◽  
Smart Devices ◽  
Mobile Nodes ◽  
Advantages And Disadvantages ◽  
Topology Changes ◽  
And Performance ◽  
Specific Scenario

Mobile computing is rapidly growing due to powerful, cheaper and smaller devices in a smart environment. By creating smart devices with mobile communication abilities, the idea of being connected anytime, anywhere and anyhow has become reality. Group of smart devices creates a mobile network (Ad Hoc Network) while communicating directly and wirelessly. When mobile nodes move, the topology changes frequently and dynamically, at that time security or some network management mechanism is required. By reviewing the functional mechanism, advantages, and disadvantages of previous routing protocols, new routing protocols can be designed for MANET and performance evaluation of different protocols is very important for the designing of a new mechanism. Various routing protocols have been designed for MANETS but these are not sufficient for all the needed requirements in MANET environment. Comparisons analysis of different protocols have been conducted in these networks using different scenarios, however, they are still not sufficient to make decisions as to which protocol is better for a specific scenario, that's why lot of research is still being conducted, in the design implementation and enhancement of novel protocols in network. This paper presents various securities and safety-related issues of MANET systems, and also advocate the requirement of enhancing routing protocols. MANET protocol has been enhanced to increase the bitrate of active protocol in mobile network and performance comparison carried out between the existing and proposed approach.

scholarly journals Sybil Attack Detection in Vehicular Ad-hoc Networks using Direct Trust Calculation

2020 ◽  
Vol 9 (10) ◽  
pp. 67-73
Keyword(s):  
Ad Hoc Networks ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Attack Detection ◽  
Sybil Attack ◽  
Trust Value ◽  
The Road ◽  
Direct Trust ◽  
Detection Ratio ◽  
Hoc Networks

Vehicular Ad-hoc Networks (VANETs) are gaining rapid momentum with the increasing number of vehicles on the road. VANETs are ad-hoc networks where vehicles exchange information about the traffic, road conditions to each other or to the road-side infrastructures. VANETs are characterized by high mobility and dynamic topology changes due to the high-speed vehicles in the network. These characteristics pose security challenges as vehicles can be conceded. It is critical to address security for the sake of protecting private data of vehicle and to avoid flooding of false data which defeats the purpose of VANETs. Sybil attack is one of the attacks where a vehicle fakes multiple vehicle identity to compromise the whole network. In this work, a direct trust manager is introduced which derives the trust value of each of its neighbor nodes at a regular interval of time. If the trust value is deviated, it confirms sybil attack. The proposed system is compared with the existing system to prove improved sybil attack detection ratio, thus providing better security. NS2 environment is used to prove the simulation results. The experimental results show that the attack detection ratio of SAD-V-DTC is 5 times better than that of the existing system. The packet delivery ratio shows an improvement of 27.27% while the false positive shows a good increase of 65.80% than the existing system.

Sinkhole Attack Detection-Based SVM In Wireless Sensor Networks

2021 ◽  
Vol 10 (2) ◽  
pp. 16-31
Author(s):  
Sihem Aissaoui ◽  
Sofiane Boukli Hacene
Keyword(s):  
Network Performance ◽  
Ad Hoc ◽  
Detection System ◽  
Special Kind ◽  
Attack Detection ◽  
Wireless Sensor ◽  
Support Vector ◽  
Detection Accuracy ◽  
Sybil Attack ◽  
Wireless Medium

Wireless sensor network is a special kind of ad hoc network characterized by high density, low mobility, and the use of a shared wireless medium. This last feature makes the network deployment easy; however, it is prone to various types of attacks such as sinkhole attack, sybil attack. Many researchers studied the effect of such attacks on the network performance and their detection. Classification techniques are some of the most used end effective methods to detect attacks in WSN. In this paper, the authors focus on sinkhole attack, which is one of the most destructive attacks in WSNs. The authors propose an intrusion detection system for sinkhole attack using support vector machines (SVM) on AODV routing protocol. In the different experiments, a special sinkhole dataset is used, and a comparison with previous techniques is done on the basis of detection accuracy. The results show the efficiency of the proposed approach.

scholarly journals Smart Devices Security Enhancement via Power Supply Monitoring

2020 ◽  
Vol 12 (3) ◽  
pp. 48
Author(s):  
Dimitrios Myridakis ◽  
Georgios Spathoulas ◽  
Athanasios Kakarountas ◽  
Dimitrios Schinianakis
Keyword(s):  
Intrusion Detection ◽  
Low Cost ◽  
Attack Detection ◽  
Smart Devices ◽  
Smart Device ◽  
Potential Threat ◽  
Public And Private ◽  
Continuous Growth ◽  
Supply Current ◽  
Iot Devices

The continuous growth of the number of Internet of Things (IoT) devices and their inclusion to public and private infrastructures has introduced new applciations to the market and our day-to-day life. At the same time, these devices create a potential threat to personal and public security. This may be easily understood either due to the sensitivity of the collected data, or by our dependability to the devices’ operation. Considering that most IoT devices are of low cost and are used for various tasks, such as monitoring people or controlling indoor environmental conditions, the security factor should be enhanced. This paper presents the exploitation of side-channel attack technique for protecting low-cost smart devices in an intuitive way. The work aims to extend the dataset provided to an Intrusion Detection Systems (IDS) in order to achieve a higher accuracy in anomaly detection. Thus, along with typical data provided to an IDS, such as network traffic, transmitted packets, CPU usage, etc., it is proposed to include information regarding the device’s physical state and behaviour such as its power consumption, the supply current, the emitted heat, etc. Awareness of the typical operation of a smart device in terms of operation and functionality may prove valuable, since any deviation may warn of an operational or functional anomaly. In this paper, the deviation (either increase or decrease) of the supply current is exploited for this reason. This work aimed to affect the intrusion detection process of IoT and proposes for consideration new inputs of interest with a collateral interest of study. In parallel, malfunction of the device is also detected, extending this work’s application to issues of reliability and maintainability. The results present 100% attack detection and this is the first time that a low-cost security solution suitable for every type of target devices is presented.

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