A fair trust-based malicious node detection and isolation scheme for WSNs

Zawaideh, Firas; Salamah, Muhammed; Al-Bahadili, Hussein

doi:10.1109/it-dreps.2017.8277813

Cited by 22 publications

(8 citation statements)

References 17 publications

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“…The RSFSA-ABE scheme has generated higher security performance up to 95% which is higher than the existing BTM, TAM and MATM-Fl, and UCBL-ABE schemes. 28,30–32 With the adaption of polynomial functions in the selection of schemes and keys to be used, the security performance has been improved. Also, the usage of differential equations in decoding the hash code introduces higher tampering performance.…”

Section: Resultsmentioning

confidence: 99%

Efficient sensitivity orient blockchain encryption for improved data security in cloud

Kumar¹,

Winster

Ramesh

2021

Concurrent Engineering

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Data security in the cloud has become a dominant topic being discussed in recent times as the security of data in the cloud has been focused on by several researchers. However, the data security was enforced at the attribute level, the adversaries are capable of learning the method of data encryption even there are access restrictions are enforced at an attribute level. To challenge the adversaries with more sophisticated security measures, an efficient real-time service-centric feature sensitivity analysis (RSFSA) model is proposed in this paper. The RSFSA model analyses the sensitivity of different features being accessed by any service and at multiple levels. At each level, the method checks the set of features being accessed and the number of features the user has access grant to compute the FLAG value for the user according to the profile given. Based on the value of FLAG, the user has been granted or denied service access. On the other side, the method maintains different encryption schemes and keys for each level of features. As the features are organized in multiple levels, the method maintains a set of schemes and keys for each level dedicative. Based on the service level and data, the method selects an encryption scheme and key to perform data encryption. According to that, the service access data has been encrypted at the attribute level with a specific scheme and key. Data encrypted has been uploaded to the blockchain and the method modifies the reference part of the chain to connect only the blocks to which the user has access. The chain given to the user would do not contain any reference from a specific block to which the user has no access. The proposed method improves the performance of data security and access restriction greatly.

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Section: Resultsmentioning

confidence: 99%

Efficient sensitivity orient blockchain encryption for improved data security in cloud

Kumar¹,

Winster

Ramesh

2021

Concurrent Engineering

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“…The path gain is denoted using GPx,y = 1/d s x,y for the hosts Sx and Sy. Sy is the thermal noise and BER which is based on the value of thre j is the bit error rate [14][15][16].…”

Section: Small Minimum Energy Communication Networkmentioning

confidence: 99%

Load Balancing Approach and Diminishing Impact of Malicious Node in Ad Hoc Networks

Sonekar

Kokate

Titre

et al. 2021

Advanced Computing and Intelligent Technologies

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Two aspects are very important in any network, one is the uniform distribution of load among all the nodes and another one is addressing the security issues. The battery drain problem and power consumption by the nodes are more or less related with the security issues as nodes are continuously moving and the nodes which are very close to the transmission area generally gets overloaded with traffic. Ad hoc wireless network is defenseless and more exposed to almost all categories of the attacks with supplementary to susceptible, whether the attack is novice or old one. Hence, there is a need of some mechanism which could identify the attacks at the early stage. Few of the attacks uses the union of statistical and algebraic techniques for targeting the key element. They also target the scientific properties of the cryptographic algorithms. The trusted server issues the certificate to all the nodes and could help in identifying the malicious node to some extent. Load balancing scheme is very useful to distribute the load traffic uniformly in the network. The paper basically focuses on two important aspects of networks, i.e., equal distribution of load among the nodes in the network and diminishes the stringent impact of attack to greater extent in the premature stage.

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“…Recently, we investigated the performance of a fair trust–based malicious node detection and isolation (FTMNDI) scheme, which periodically updates the trust of the nodes in a flat network by a neighbor‐weight trust determination algorithm. The update is based on the node's reputation and assumes a fixed trust‐update factor.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Otherwise, the node is considered a normal node and is admitted. It should be noted that MAT lies between 0 and 1, and its value depends on how sensitively the network application must quickly isolate malicious nodes in the network …”

Section: The Proposed Wt‐mnd Schemementioning

confidence: 99%

An efficient weighted trust‐based malicious node detection scheme for wireless sensor networks

Zawaideh¹,

Salamah

2018

Int J Communication

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The aim of wireless sensor networks (WSNs) is to gather sensor data from a monitored environment. However, the collected or reported information might be falsified by faults or malicious nodes. Hence, identifying malicious nodes in an effective and timely manner is essential for the network to function properly and reliably. Maliciously behaving nodes are usually detected and isolated by reputation and trust-based schemes before they can damage the network. In this paper, we propose an efficient weighted trust-based malicious node detection (WT-MND) scheme that can detect malicious nodes in a clustered WSN.The node behaviors are realistically treated by accounting for false-positive and false-negative instances. The simulation results confirm the timely identification and isolation of maliciously behaving nodes by the WT-MND scheme. The effectiveness of the proposed scheme is afforded by the adaptive trustupdate process, which implicitly performs trust recovery of temporarily malfunctioning nodes and computes a different trust-update factor for each node depending on its behavior. The proposed scheme is more effective and scalable than the related schemes in the literature, as evidenced by its higher detection ratio (DR) and lower misdetection ratio (MDR), which only slightly vary with the network's size. Moreover, the scheme sustains its efficient characteristics without significant power consumption overheads.

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A fair trust-based malicious node detection and isolation scheme for WSNs

Cited by 22 publications

References 17 publications

Efficient sensitivity orient blockchain encryption for improved data security in cloud

Efficient sensitivity orient blockchain encryption for improved data security in cloud

Load Balancing Approach and Diminishing Impact of Malicious Node in Ad Hoc Networks

An efficient weighted trust‐based malicious node detection scheme for wireless sensor networks

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