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README.md

-# Blockchain Forensics using OSINT and Graph Temporal Logic ![](https://img.shields.io/badge/-Live-brightgreen)
+# Blockchain Forensics using Graph Temporal Logic ![](https://img.shields.io/badge/-Live-brightgreen)
 ![](https://img.shields.io/badge/Batch-21CYS-green) ![](https://img.shields.io/badge/Domain-Blockchain-blue) ![](https://img.shields.io/badge/M.Tech--Thesis-WIP-orange) ![](https://img.shields.io/badge/Focus-Forensics-yellow) ![](https://img.shields.io/badge/Focus-OSINT-yellow) ![](https://img.shields.io/badge/AmritaBlockchain-WIP-orange) <br/>
 ![](https://img.shields.io/badge/Blockchain-Bitcoin-blue) ![](https://img.shields.io/badge/Blockchain-Ethereum-blue)
 
@@ -8,6 +8,31 @@
 
 ## Abstract
 
+Detection of Illegal and Malicious accounts and transactions in Blockchain through ev-
+idences collected from blockchain (on-chain) and related sources (off-chain) by Open
+Source Intelligence (OSINT) and analysis through Graph Temporal Properties. Blockchain
+is a decentralized computing distributed ledger platform that enables us to store im-
+mutable transactions. In an open and transparent system, it makes logical decisions
+involving several stakeholders. In this paper, we are compiling a list of addresses that
+have been reported on social media, and using the information we have gathered, we will
+check the blockchain explorer and extract the address along with the transaction’s date,
+time, and amount. This procedure is referred to as being “on-chain.” With the gathered
+information, we create a dataset and conduct Off-chain Open Source Intelligence (OS-
+INT) on the addresses to see whether they have appeared somewhere else online, such as
+forums, Wikileaks, or other websites.
+With the use of OSINT, we will utilise our techniques to determine the wallet address
+of that user, and we will then use Graph Temporal Properties to examine the information
+we have gathered. In Graph Temporal properties, we are uploading the dataset that we
+created. When the graph gets executed, we will have an idea of how many times the
+malicious address made contact with other collected addresses, and here we can find the
+neighborhood stability and attractive for every address that we gave in the temporal
+graph. Here we have to take Graph Temporal for the malicious address per day, week,
+and month. Using the temporal graph, we can determine which addresses have the most
+communication with the malicious account, we will filter those addresses and do both Off-
+chain and On-chain Open Source Intelligence on those addresses. If any of these address
+identities are disclosed on the internet, we can readily determine what the malicious
+account conducts, such as fraud, ransomware, silk route, and so on.
+
 ## Architecture Diagram
 
 ## Results