Understanding nature of Blockchains and its implications towards Security
The key research contributions are:
- Identification of features that should be used towards clasification of accounts.
- Comparitive analysis to identify best ML algorithm
Rachit Agarwal
Associate Director of Data Science and Analytics
Rachit pioneers Network Science and Blockchain research along with cryptocurrency forensic. His expertise and research interests mainly span the areas related to understanding Network oriented aspects of Human Mobility as well as Cyber Systems such as Blockchains with applications to Cyber-Security. He is also interested in Semantic Web technologies, Smart Cities, and CrowdSourcing.
Publications
Understanding Rug Pulls: An In-Depth Behavioral Analysis of Fraudulent NFT Creators
The explosive growth of non-fungible tokens (NFTs) on Web3 has created a new frontier for digital art and collectibles, but also an …
Identifying malicious accounts in Blockchains using Domain Names and associated temporal properties
The rise in the adoption of blockchain technology has led to increased illegal activities by cybercriminals costing billions of …
DNS based In-Browser Cryptojacking Detection
The metadata aspect of Domain Names (DNs) enables us to perform a behavioral study of DNs and detect if a DN is involved in in-browser …
Reputation-based PoS for the Restriction of Illicit Activities on Blockchain: Algorand Usecase
In cryptocurrency-based permissionless blockchain networks, the decentralized structure enables any user to join and operate across …
Towards Malicious address identification in Bitcoin
The temporal aspect of blockchain transactions enables us to study the address’s behavior and detect if it is involved in any …
Understanding Money Trails of Suspicious Activities in a cryptocurrency-based Blockchain
The decentralization, redundancy, and pseudo-anonymity features have made permission-less public blockchain platforms attractive for …
Vulnerability and Transaction behavior based detection of Malicious Smart Contracts
Smart Contracts (SCs) in Ethereum can automate tasks and provide different functionalities to a user. Such automation is enabled by the …
Security of Healthcare Data Using Blockchains: A Survey
The advancement in the healthcare sector is entering into a new era in the form of Health 4.0. The integration of innovative …
Analyzing malicious activities and detecting adversarial behavior in cryptocurrency based permissionless blockchains: An Ethereum usecase
Different malicious activities occur in cryptocurrency-based permissionless blockchains such as Ethereum and Bitcoin. Some activities …
Detecting Malicious Accounts in Permissionless Blockchains using Temporal Graph Properties
Directed Graph based models of a blockchain that capture accounts as nodes and transactions as edges, evolve over time. This temporal …
