Windows 10’s Browser Forensic Analysis for Tracing P2P Networks’Anonymous Attacks

A web browser is the most basic tool for accessing the internet from any of the machines/equipment.Recently,data breaches have been reported frequently from users who are concerned about their personal information,as well as threats from criminal actors.Giving loss of data and information to an innocent user comes under the jurisdiction of cyber-attack.These kinds of cyber-attacks are far more dangerous when it comes to the many types of devices employed in an internet of things(IoT)environment.Continuous surveillance of IoT devices and forensic tools are required to overcome the issues pertaining to secure data and assets.Peer to peer(P2P)applications have been utilized for criminal operations on the web.Therefore,it is a challenge for a forensic investigator to perform forensic analysis of the evolving hardware and software platforms for IoT.For identity concealment and privacy protection,the Onion Router(Tor)and Chrome with the Invisible Internet Project(I2P)as the foundation browser are often used.Confirmation is required to determine whether Tor is truly anonymous and private as they claim.Some people,on the other hand,utilize the Tor browser for evil reasons.Tools and techniques are available for the collection of artifacts,identifying problem areas,further processing and analysis of data on the computer and IoT.Present research tried to explore a few tools for the tracing of I2P activities over computer on windows 10 that reflects IoT devices.According to the results of this research,it leaves an excessive amount of important digital evidence on the operating system that can be exploited to attack the information of users.This research is based on windows operating system and does not support other operating systems.

Measuring node decentralisation in blockchain peer to peer networks

New blockchain platforms are launching at a high cadence,each fighting for attention,adoption,and infrastructure resources.Several studies have measured the peer-to-peer(P2P)network decentralisation of Bitcoin and Ethereum(i.e.,two of the largest used platforms).However,with the increasing demand for blockchain infrastructure,it is important to study node decentralisation across multiple blockchain networks,especially those containing a small number of nodes.In this paper,we propose NodeMaps,a data processing framework to capture,analyse,and visualise data from several popular P2P blockchain platforms,such as Cosmos,Stellar,Bitcoin,and Lightning Network.We compare and contrast the geographic distribution,the hosting provider diversity,and the software client variance in each of these platforms.Through our comparative analysis of node data,we found that Bitcoin and its Lightning Network Layer 2 protocol are widely decentralised P2P blockchain platforms,with the largest geographical reach and a high proportion of nodes operating on The Onion Router(TOR)privacy-focused network.Cosmos and Stellar blockchains have reduced node participation,with nodes predominantly operating in large cloud providers or well-known data centres.