RETRACTED ARTICLE: Enhanced approach using trust based decision making for secured wireless streaming video sensor networks

Abstract

The advances in the expanse of image sensors have made it conceivable to make highresolution picture sensors easily accessible. The amelioration of wireless interactive media sensor networks are found to be greatly increased due to the day to day usage of cameras, microphones and smart devices. A secured multi-hop routing mechanism is addressed in surveillance areas which could be incorporated to the multimedia sensors that are capable of peruse the detected data comprises of recorded images and videos. Also, malevolent sensor hubs could be interjected into the vigilance area in an untrusted environment. In this contemplated venture, a novel lightweight trust decision-making framework is accomplished for QoS clustering to give secure routing in both intercluster and intracluster communication. A quantifiable aberrant trust value is the variable determined by the Cluster Head (CH) for its Cluster Member (CM) inside the cluster. The LEACH (Low Energy Adaptive Clustering Hierarchy) protocol is adopted for group formation and also for the exchange of the trust values among the master nodes, member nodes and Base station. In this way, the correspondence overhead, likelihood of dynamic assaults for example sinkhole and black hole assaults mount by eavesdroppers can be reduced by maintenance of trust values by cluster heads rather than cluster members. Besides, in wireless streaming video sensor networks this approach authorizes us to predict and counteract malicious untrusted and flawed nodes. Simulation results using NS-2 is examined and the suggested trust decision-making model escalates the dependability, elasticity and low memory aloft in comparison with the current trust models adopted for wireless video sensor network security.

Contrast Agent and Molecular Imaging Meta-Analysis of the Clinical Effect of Intelligent Image Sensor Combined with Visual Training in the Treatment of Children with Intermittent Exotropia in China

“…In addition, the method enables him to predict and fight against malicious, untrustworthy, defective nodes. Compared with the current trust model used for wireless video sensor network security, the proposed trust decision model has improved reliability, flexibility, and low memory [ 3 ]. Ho A J believes that evaluating the relationship between the first overcorrection of patients with exotropia and the success of long-term surgery.…”

Quantum readout and gradient deep learning model for secure and sustainable data access in IWSN

“…Industrial wireless sensor networks, which are an evolved category of WSN in which sensors are combined to monitor the status of equipment and to control systems in real-time, also have limitations related to security, privacy, and energy. To address these drawbacks in the IWSN context, a lightweight decision-making framework based on trust value identification was designed in Ramesh & Yaashuwanth (2019) . The lightweight trust framework was used for quality of service clustering in order to perform the secure routing process.…”

Heterogeneous Energy and Traffic Aware Sleep-Awake Cluster-Based Routing Protocol for Wireless Sensor Network

“…Similarly, each isolated node is allocated one slot. Consequently, if the total number of CMs in a cluster is n, then the total number of time slots (N tslot ) per cluster in one round is calculated by equation (5)…”

“…As the sensors in WSN are getting better and more complex due to the recent advancement in microelectromechanical systems technology, makes it promising to implement them for sophisticated applications [3]. The sensor nodes are usually equipped with multimedia devices such as cameras that are capable of retrieving videos, images and audio streams [4], [5]. The multimedia data has excessive qualityof-service (QoS) requirements, whereas the sensor nodes in WSN are attributed with limited memory, low processing capacity, limited power and transmission bandwidth [2], [6].…”