Peer-to-peer determination of proximity using wireless network data

2004 ◽  
Author(s):  
J.-L. Meunier
Keyword(s):  
Wireless Network ◽  
Peer To Peer ◽  
Network Data

Data Security in Wired and Wireless Systems

2019 ◽  
pp. 1213-1240
Author(s):  
Abhinav Prakash ◽  
Dharma Prakash Agarwal
Keyword(s):  
Wireless Network ◽  
Data Security ◽  
Security Protocols ◽  
Wireless Systems ◽  
Main Tool ◽  
Security Protocol ◽  
Network Data ◽  
Wireless Technologies ◽  
Secured Communication ◽  
Different Parts

The issues related to network data security were identified shortly after the inception of the first wired network. Initial protocols relied heavily on obscurity as the main tool for security provisions. Hacking into a wired network requires physically tapping into the wire link on which the data is being transferred. Both these factors seemed to work hand in hand and made secured communication somewhat possible using simple protocols. Then came the wireless network which radically changed the field and associated environment. How do you secure something that freely travels through the air as a medium? Furthermore, wireless technology empowered devices to be mobile, making it harder for security protocols to identify and locate a malicious device in the network while making it easier for hackers to access different parts of the network while moving around. Quite often, the discussion centered on the question: Is it even possible to provide complete security in a wireless network? It can be debated that wireless networks and perfect data security are mutually exclusive. Availability of latest wideband wireless technologies have diminished predominantly large gap between the network capacities of a wireless network versus a wired one. Regardless, the physical medium limitation still exists for a wired network. Hence, security is a way more complicated and harder goal to achieve for a wireless network (Imai, Rahman, & Kobara, 2006). So, it can be safely assumed that a security protocol that is robust for a wireless network will provide at least equal if not better level of security in a similar wired network. Henceforth, we will talk about security essentially in a wireless network and readers should assume it to be equally applicable to a wired network.

scholarly journals Ad-Hoc on Android using Wi-Fi Direct

2020 ◽  
Vol 9 (6) ◽  
pp. 41-44
Keyword(s):  
Wireless Network ◽  
Ad Hoc ◽  
Data Transfer ◽  
Peer To Peer ◽  
Peer Communication ◽  
Ip Address ◽  
Peer Network ◽  
Peer To Peer Network

Starting with API level 14, ICECREAM SANDWITH, Android introduced API for peer to peer communication using Wi-Fi Direct. Since then many applications have been released that use this technology for data transfer and communication between two devices. But most of these have been used for just two-person communication. In this paper we propose to create a peer to peer network using the same technology. This paper focuses on creating a local wireless network of android smartphones using Wi-Fi direct. This paper also defines an algorithm using which each device can get the IP address of each of its peer. This paper will also help those who are trying to create applications on android using Wi-Fi Direct.

scholarly journals An Improved K -Means Clustering Intrusion Detection Algorithm for Wireless Networks Based on Federated Learning

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Bin Xie ◽  
Xinyu Dong ◽  
Changguang Wang
Keyword(s):  
Wireless Networks ◽  
Intrusion Detection ◽  
Wireless Network ◽  
Detection Rate ◽  
Detection Algorithm ◽  
Network Data ◽  
False Detection Rate ◽  
False Detection ◽  
Data Set ◽  
Network Intrusion

The existing wireless network intrusion detection algorithms based on supervised learning confront many challenges, such as high false detection rate, difficulty in finding unknown attack behaviors, and high cost in obtaining labeled training data sets. This paper presents an improved k -means clustering algorithm for detecting intrusions on wireless networks based on Federated Learning. The proposed algorithm allows multiple participants to train a global model without sharing their private data and can expand the amount of data in the training model and protect the local data of each participant. Furthermore, the cosine distance of multiple perspectives is introduced in the algorithm to measure the similarity between network data objects in the improved k -means clustering process, making the clustering results more reasonable and the judgment of network data behavior more accurate. The AWID, an open wireless network attack data set, is selected as the experimental data set. Its dimensionality reduces by the method of principal component analysis (PCA). Experimental results show that the improved k -means clustering intrusion detection algorithm based on Federated Learning has better performance in detection rate, false detection rate, and detection of unknown attack types.

Data Security in Wired and Wireless Systems

2016 ◽  
pp. 1-27 ◽  
Author(s):  
Abhinav Prakash ◽  
Dharma Prakash Agarwal
Keyword(s):  
Wireless Network ◽  
Data Security ◽  
Security Protocols ◽  
Wireless Systems ◽  
Main Tool ◽  
Security Protocol ◽  
Network Data ◽  
Wireless Technologies ◽  
Secured Communication ◽  
Different Parts

The issues related to network data security were identified shortly after the inception of the first wired network. Initial protocols relied heavily on obscurity as the main tool for security provisions. Hacking into a wired network requires physically tapping into the wire link on which the data is being transferred. Both these factors seemed to work hand in hand and made secured communication somewhat possible using simple protocols. Then came the wireless network which radically changed the field and associated environment. How do you secure something that freely travels through the air as a medium? Furthermore, wireless technology empowered devices to be mobile, making it harder for security protocols to identify and locate a malicious device in the network while making it easier for hackers to access different parts of the network while moving around. Quite often, the discussion centered on the question: Is it even possible to provide complete security in a wireless network? It can be debated that wireless networks and perfect data security are mutually exclusive. Availability of latest wideband wireless technologies have diminished predominantly large gap between the network capacities of a wireless network versus a wired one. Regardless, the physical medium limitation still exists for a wired network. Hence, security is a way more complicated and harder goal to achieve for a wireless network (Imai, Rahman, & Kobara, 2006). So, it can be safely assumed that a security protocol that is robust for a wireless network will provide at least equal if not better level of security in a similar wired network. Henceforth, we will talk about security essentially in a wireless network and readers should assume it to be equally applicable to a wired network.

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