scholarly journals Research on Data Security Detection Algorithm in IoT Based on K-means

2021 ◽  
Vol 22 (2) ◽  
Author(s):  
Jianxing Zhu ◽  
Lina Huo ◽  
Mohd Dilshad Ansari ◽  
Mohammad Asif Ikbal
Keyword(s):  
Internet Of Things ◽  
Intrusion Detection ◽  
Data Security ◽  
Detection Method ◽  
Detection Algorithm ◽  
The Internet ◽  
Human Beings ◽  
Network Attacks ◽  
Hybrid Detection ◽  
The Internet Of Things

The development of the Internet of Things has prominently expanded the perception of human beings, but ensuing security issues have attracted people's attention. From the perspective of the relatively weak sensor network in the Internet of Things. Proposed method is aiming at the characteristics of diversification and heterogeneity of collected data in sensor networks; the data set is clustered and analyzed from the aspects of network delay and data flow to extract data characteristics. Then, according to the characteristics of different types of network attacks, a hybrid detection method for network attacks is established. An efficient data intrusion detection algorithm based on K-means clustering is proposed. This paper proposes a network node control method based on traffic constraints to improve the security level of the network. Simulation experiments show that compared with traditional password-based intrusion detection methods; the proposed method has a higher detection level and is suitable for data security protection in the Internet of Things. This paper proposes an efficient intrusion detection method for applications with Internet of Things.

Research on Data Security Detection Algorithm in IoT Based on K-means

2021 ◽  
Vol 14 ◽  
Author(s):  
Jianxing Zhu ◽  
Lina Huo ◽  
Mohd Dilshad Ansari ◽  
Mohammad Asif Ikbal
Keyword(s):  
Internet Of Things ◽  
Intrusion Detection ◽  
Data Security ◽  
Detection Method ◽  
Detection Algorithm ◽  
The Internet ◽  
Human Beings ◽  
Network Attacks ◽  
Hybrid Detection ◽  
The Internet Of Things

Background: The development of the Internet of Things has prominently expanded the perception of human beings, but ensuing security issues have attracted people's attention. From the perspective of the relatively weak sensor network in the Internet of Things. Method: Proposed method Aiming at the characteristics of diversification and heterogeneity of collected data in sensor networks, the data set is clustered and analyzed from the aspects of network delay and data flow to extract data characteristics. Then, according to the characteristics of different types of network attacks, a hybrid detection method for network attacks is established. An efficient data intrusion detection algorithm based on K-means clustering is proposed Results: This paper proposes a network node control method based on traffic constraints to improve the security level of the network. Simulation experiments show that compared with traditional password-based intrusion detection methods; the proposed method has a higher detection level and is suitable for data security protection in the Internet of Things. Conclusions: This paper proposes an efficient intrusion detection method for applications with Internet of Things

scholarly journals Intrusion Detection Analysis of Internet of Things considering Practical Byzantine Fault Tolerance (PBFT) Algorithm

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Leixia Li ◽  
Yong Chen ◽  
Baojun Lin
Keyword(s):  
Fault Tolerance ◽  
Internet Of Things ◽  
Intrusion Detection ◽  
Detection Method ◽  
Detection Methods ◽  
The Internet ◽  
Byzantine Fault Tolerance ◽  
Byzantine Fault ◽  
Operation Process ◽  
The Internet Of Things

In order to improve the security performance and accuracy of the Internet of things in the use process, it is necessary to use the Internet of things intrusion detection method. At present, the problem of inconsistency between the accuracy of detection results and nodes is more prominent when the Internet of things intrusion detection methods are running. This paper proposes a practical Byzantine fault-tolerant intrusion detection method for the use process of the Internet of things. This method introduces the intrusion detection method and the operation function of foreign attackers on the basis of practical Byzantine fault tolerance; using the expected utility function to the corresponding benefit function of practical Byzantine fault tolerance, the results of Internet of things intrusion detection model can be effectively calculated. Finally, the experimental results show that compared with the existing intrusion detection methods, the proposed method can effectively reduce the energy consumption of the Internet of things in the operation process, can effectively reduce 14.3% and 7.8%, and can effectively reduce the energy consumption of the Internet of things in the operation process.

Agent-whistleblower Technology for Secure Internet of Things

2020 ◽  
Vol 7 (1) ◽  
pp. 22-28
Author(s):  
Vladimir Eliseev ◽  
Anastasiya Gurina
Keyword(s):  
Internet Of Things ◽  
Technology Implementation ◽  
The Internet ◽  
Protective Mechanisms ◽  
Network Attacks ◽  
The World ◽  
Main Factors ◽  
Key Aspects ◽  
The Internet Of Things

  Abstract— The paper investigates the causes of widespread use by cybercriminals of the Internet of Things for organizing network attacks and other illegal use. An analysis of existing approaches and technologies for protecting networked computer devices is presented, as well as the main factors that prevent their use in the world of Internet of Things. An approach is suggested that ensures the integration of protective mechanisms directly into the composition of Things. Various variants of technology implementation are considered. Key aspects and potential ways of implementing the proposed approach are noted.Tóm tắt— Bài báo nghiên cứu về các phương thức được tội phạm mạng sử dụng rộng rãi trong Internet vạn vật (IoT), để tổ chức các tấn công mạng và các hành vi bất hợp pháp khác. Bài báo phân tích các phương pháp và công nghệ hiện có để bảo vệ các thiết bị kết nối mạng, cũng như các yếu tố chính để ngăn chặn việc sử dụng chúng trong IoT. Cách tiếp cận được đề xuất là đảm bảo việc tích hợp các cơ chế bảo vệ trực tiếp vào cấu trúc của IoT. Bài báo cũng xem xét các biến thể khác của việc thực hiện công nghệ này. Từ đó, đưa ra lưu ý về các khía cạnh chính và cách thức cài đặt tiềm năng để thực hiện phương pháp được đề xuất. 

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