Intrusion-Tolerant Jini Service Architecture for Integrating Security and Survivability Support in DSN

Kim, Sung Ki; Kim, Byung-Gyu; Min, Byoung-Joon

doi:10.1155/2014/695240

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Furthermore, routing in WSNs is constrained by the energy and computing capacities of sensor nodes. In recent years, the routing security of WSNs has become a hot research topic [5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Information-Aware Secure Routing in Wireless Sensor Networks

Shi

Ding

et al. 2019

Sensors

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Secure routing is crucial for wireless sensor networks (WSNs) because they are vulnerable to various attacks. In this paper, we propose a new secure routing protocol for WSNs in the presence of malicious nodes. For each relay node in the route, associated information such as its trust value and status is considered in the protocol. The trust value is defined as the attack probability of the node according to previous packet-forwarding behaviors, and the status is a hybrid metric that combines the residual energy and distance to the sink node. Therefore, the route generated by the protocol is secure against malicious attacks and globally optimal according to the associated information. We used an improved variant of the Dijkstra algorithm to generate the secure route for WSNs in the presence of malicious nodes. Compared with the Reputation-Based Mechanism to Stimulate Cooperation (RBMSC) model in the same simulation environment, the proposed model can maintain a higher delivery ratio, which verifies the effectiveness of the proposed model on the basis of global optimization. Furthermore, compared with the traditional Dijkstra algorithm, the packet loss ratio in the improved Dijkstra algorithm is lower because it can more effectively avoid malicious nodes, thus verifying the effectiveness of the improved algorithm.

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Section: Introductionmentioning

confidence: 99%

Information-Aware Secure Routing in Wireless Sensor Networks

Shi

Ding

et al. 2019

Sensors

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Android Malware Detection Techniques in Traditional and Cloud Computing Platforms

Vishnoi

Mishra

Negi

et al. 2021

International Journal of Cloud Applications and Computing

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In the mobile world, Android is the most popular choice of manufacturers and users alike. Meanwhile, a number of malicious applications abbreviated as malapps or malware have increased explosively. Malware writers make use of existing apps to send malware to users' devices. To check presence of malware, the authors perform malware analysis of apps. In this paper, they provide a comprehensive review on state-of-the-art android malware detection approaches using traditional and cloud computing platforms. The paper also presents attack taxonomy to better understand security threat against Android. Furthermore, it describes various possible attacking features (static and dynamic) and their analysis mechanism. Various security tools have also been discussed. It presents two case studies: one for malware feature extraction and the other for demonstrating the use of machine learning for malware analysis in order to provide a practical insight of malware analysis. The results of malware analysis seem to be promising.

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Intrusion-Tolerant Jini Service Architecture for Integrating Security and Survivability Support in DSN

Cited by 2 publications

References 15 publications

Information-Aware Secure Routing in Wireless Sensor Networks

Information-Aware Secure Routing in Wireless Sensor Networks

Android Malware Detection Techniques in Traditional and Cloud Computing Platforms

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