Convolution Neural Network-Based Higher Accurate Intrusion Identification System for the Network Security and Communication

Table 1

Techniqueswise literature categorization.

Ref. no	Year	Description
[23]	2019	Risk assessment model for addressing the security issues in IoT ecosystem
[24]	2019	Threats and attack based analysis of IoT
[25]	2018	Architecture based analysis in light of security requirements
[26]	2018	Discussing the layer based security analysis of IoT
[27]	2018	Security analysis of mobile device-to-device network using Android operating system
[28]	2018	Security analysis of mobile health applications for testing functionality.
[29]	2018	Threat and attack based analysis of IoT
[30]	2018	Analysis of all security areas in IoT
[31]	2018	Study of the existing and proposed countermeasures in IoT based system
[32]	2017	Proposing a mobile application tool for analysis of IoT threats.
[33]	2017	Presenting a threat categorization based on security dimensions like integrity, confidentiality, etc.
[34]	2017	Proposing a classification model to analyse the relation between potential risk and potential vulnerabilities in home automation devices
[35]	2016	Security analysis of smart phone in IoT
[36]	2016	Analysis of identification of application, threats, and impacts in IoT
[37]	2016	Security issues and challenges of IoT and mobile computing
[38]	2015	Analysing the IoT security challenges, issues, and open problems
[39]	2015	Discussing security aims, goals, and vulnerabilities for IoT