The Challenges for Context – Oriented Data Accumulation with Privacy Preserving in Wireless Sensor Networks

Babu, T.G.; Jayalakshmi, V.

doi:10.1109/iccmc48092.2020.iccmc-000160

Cited by 2 publications

(1 citation statement)

References 12 publications

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“…We also identify vulnerabilities and cyberattacks that affect confidentiality, integrity, and availability in SNs, to enhance privacy preservation. Consequently, the proposed SDAAA secure data aggregation protocol in WSN improves QoS performance metrics, such as accuracy in sensed data, that confirms the energy efficiency of the network [21]. Our proposed SDAAA approach maintains the tradeoff between authentication, entity-based authorization, and freshness while maintaining the QoS parameters and energy efficiency.…”

Section: Introductionsupporting

confidence: 60%

Secure Data Aggregation Using Authentication and Authorization for Privacy Preservation in Wireless Sensor Networks

Erskine

2024

Sensors

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Existing secure data aggregation protocols are weaker to eliminate data redundancy and protect wireless sensor networks (WSNs). Only some existing approaches have solved this singular issue when aggregating data. However, there is a need for a multi-featured protocol to handle the multiple problems of data aggregation, such as energy efficiency, authentication, authorization, and maintaining the security of the network. Looking at the significant demand for multi-featured data aggregation protocol, we propose secure data aggregation using authentication and authorization (SDAAA) protocol to detect malicious attacks, particularly cyberattacks such as sybil and sinkhole, to extend network performance. These attacks are more complex to address through existing cryptographic protocols. The proposed SDAAA protocol comprises a node authorization algorithm that permits legitimate nodes to communicate within the network. This SDAAA protocol’s methods help improve the quality of service (QoS) parameters. Furthermore, we introduce a mathematical model to improve accuracy, energy efficiency, data freshness, authorization, and authentication. Finally, our protocol is tested in an intelligent healthcare WSN patient-monitoring application scenario and verified using an OMNET++ simulator. Based upon the results, we confirm that our proposed SDAAA protocol attains a throughput of 444 kbs, representing a 98% of data/network channel capacity rate; an energy consumption of 2.6 joules, representing 99% network energy efficiency; an effected network of 2.45, representing 99.5% achieved overall performance of the network; and time complexity of 0.08 s, representing 98.5% efficiency of the proposed SDAAA approach. By contrast, contending protocols such as SD, EEHA, HAS, IIF, and RHC have throughput ranges between 415–443, representing 85–90% of the data rate/channel capacity of the network; energy consumption in the range of 3.0–3.6 joules, representing 88–95% energy efficiency of the network; effected network range of 2.98, representing 72–89% improved overall performance of the network; and time complexity in the range of 0.20 s, representing 72–89% efficiency of the proposed SDAAA approach. Therefore, our proposed SDAAA protocol outperforms other known approaches, such as SD, EEHA, HAS, IIF, and RHC, designed for secure data aggregation in a similar environment.

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Section: Introductionsupporting

confidence: 60%

Secure Data Aggregation Using Authentication and Authorization for Privacy Preservation in Wireless Sensor Networks

Erskine

2024

Sensors

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A deep experimental analysis of energy‐proficient firewall policies and security practices for resource limited wireless networks

Rajasoundaran,

Sivakumar,

Devaraju

et al. 2024

Security and Privacy

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The role of firewalls and security principles in resource‐limited wireless networks and Wireless Sensor Networks (WSN) is more expected than in any dedicated network environment. The advanced wireless technologies and emerging fashion of autonomous wireless network nodes are mostly expecting resilient firewall services with multi‐level security policies. Wireless networks are classified under sensor networks, Internet of Things (IoT) mobile networks, and so forth. According to the expectations, security frameworks are gradually invented around the communication platform using various ideologies. The novel ideology and respective implementation effort open better solutions against wireless network attacks. Anyhow, the minimal production of time complexity, energy complexity, and computation overhead from any novel security approach is always considered under the best practices. The complexity levels directly affect the wireless node's energy consumption ability and operational spans severely. The energy optimization techniques and load‐balancing techniques integrated into multi‐class firewall rules are extremely useful solutions for resource‐limited wireless networks. This article has been motivated to analyze the recent firewall techniques and secure data communication mechanisms used for securing wireless networks. Consequently, the practice of comparative literature analysis helps to improve the current limitations identified under the classified categories of security mechanisms such as energy‐optimized security principles and load‐balanced security principles. The establishment of secure and energy‐optimized multi‐class firewall rules in each wireless node assures a healthy focus on next‐generation networks. The experiment section shows the benefits of energy‐optimized secure network communication in terms of better accuracy and the benefits of load‐balanced secure network communication through minimal overhead in computing platforms.

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The Challenges for Context – Oriented Data Accumulation with Privacy Preserving in Wireless Sensor Networks

Cited by 2 publications

References 12 publications

Secure Data Aggregation Using Authentication and Authorization for Privacy Preservation in Wireless Sensor Networks

Secure Data Aggregation Using Authentication and Authorization for Privacy Preservation in Wireless Sensor Networks

A deep experimental analysis of energy‐proficient firewall policies and security practices for resource limited wireless networks

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