MACBT Algorithm: Two-Layer Security in WSN

WSN is deployed in several critical places to monitor specific parameters such as border monitoring systems and others. If any unauthorized devices are placed or inserted into this network, then it will lead to huge information loss or threat. Several works are done in this field of study, including fake node detection, encryption, malicious node detection, etc. With the help of physical and analytical redundancy (spatial redundancy) in the system, error recovery can be made if the sensor node gets corrupted (fake node) and still sends authentic data. Several methodologies are implemented on wireless sensor networks to improve security, such as Conditional Random Field, Hidden Markov models (HMMs), SDN gateway, the hybrid model combines blockchain technology with CNF and HMM. Recently, encryption techniques have been used in the implementation of blockchain technology to improve security.

• Publication year

  2024

• Venue

  2024 Second International Conference on Emerging Trends in Information Technology and Engineering (ICETITE)

• Publication date

  2024-02-22

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1109/ic-ETITE58242.2024.10493236
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Blockchain Based Secure Routing and Trust Management in Wireless Sensor Networks

  2022cited by this paper
• Cybersecurity named entity recognition using bidirectional long short-term memory with conditional random fields

  2021cited by this paper
• Towards a Blockchain-SDN Architecture for Secure and Trustworthy 5G Massive IoT Networks

  2021cited by this paper
• Blockchain Based Authentication and Trust Evaluation Mechanism for Secure Routing in Wireless Sensor Networks

  2021cited by this paper
• Detection and Prevention of Faulty Node in Heterogeneous Wireless Sensor Network

  2021cited by this paper
• A Blockchain Based Secure Authentication and Routing Mechanism for Wireless Sensor Networks

  2021cited by this paper
• Efficient and secure routing protocol based on Blockchain approach for wireless sensor networks

  2020cited by this paper
• Improving Internet of Things (IoT) Security with Software-Defined Networking (SDN)

  2020cited by this paper
• Blockchain Powered Secure Range-Free Localization in Wireless Sensor Networks

  2020cited by this paper
• A Secure Framework for Data Sharing in Private Blockchain-Based WBANs

  2020cited by this paper
• Blockchain Based Secure Model for Sensor Data in Wireless Sensor Network

  2020cited by this paper
• IoT Privacy and Security: Challenges and Solutions

  2020cited by this paper
• Essence of Blockchain Technology in Wireless Sensor Network: A brief study

  2020cited by this paper
• A Comparison of Blockchain-Based Wireless Sensor Network Protocols

  2020cited by this paper
• Will Blockchain Technology Become a Reality in Sensor Networks?

  2019cited by this paper
• Security Issues in Software Defined Networking (SDN): Risks, Challenges and Potential Solutions

  2019cited by this paper
• Node Recovery in Wireless Sensor Networks via Blockchain

  2019cited by this paper
• Blockchain Trust Model for Malicious Node Detection in Wireless Sensor Networks

  2019cited by this paper
• Incentive Mechanism of Data Storage Based on Blockchain for Wireless Sensor Networks

  2018cited by this paper
• How Reliable Is My Software-Defined Network? Models and Failure Impacts

  2018cited by this paper
• An Intrusion Detection System for Network Security Situational Awareness Using Conditional Random Fields

  2018cited by this paper
• Detecting SYN flood attacks via statistical monitoring charts: A comparative study

  2017cited by this paper
• Software defined network as solution to overcome security challenges in IoT

  2016cited by this paper
• Flow Based Security for IoT Devices Using an SDN Gateway

  2016cited by this paper
• Comparative study of k-means and mini batch k-means clustering algorithms in android malware detection using network traffic analysis

  2014cited by this paper
• The Sybil attack in mobile adhoc network: analysis and detection

  2013cited by this paper
• Efficient intrusion detection method based on Conditional Random Fields

  2011cited by this paper
• An Introduction to Conditional Random Fields

  2010cited by this paper
• Layered Approach Using Conditional Random Fields for Intrusion Detection

  2010cited by this paper
• Conditional Random Fields for Intrusion Detection

  2007cited by this paper
• Conditional random fields for activity recognition

  2007cited by this paper
• Security in wireless sensor networks: issues and challenges

  2006cited by this paper
• Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data

  2001cited by this paper
• Reliability Challenges in Software Defined Networking

  year unknowncited by this paper

• Enhancing IoT security: A comprehensive exploration of privacy, security measures, and advanced routing solutions

  2025cites this paper