1 citations · 1 across the 11 of their papers we have counts for
11 papers
FDIFormer:Protocol-Aware Transformer Learning for False Data Injection Attack Detection in Smart Grid Networks
Sandara Sathsarani Wijethunga, Muneeb Ul Hassan, Nasrin Sohrabi
Smart grids use communication networks and intelligent electronic devices for reliable, automated power system operation. As these systems become more interconnected, they are incr…
Multi-Round Visibility: A Post-Consensus Ordering Layer for DAG-Based BFT
Pengkun Ren, Dong Hai, Nasrin Sohrabi +1
Directed acyclic graph (DAG)-based Byzantine Fault-Tolerant (BFT) protocols achieve high throughput by decoupling dissemination from agreement and allowing many vertices to be comm…
Evaluating the Vulnerability Landscape of LLM-Generated Smart Contracts
Hoang Long Do, Nasrin Sohrabi, Muneeb Ul Hassan
Large language models (LLMs) have been widely adopted in modern software development lifecycles, where they are increasingly used to automate and assist code generation, significan…
How To Cook The Fragmented Rug Pull?
Minh Trung Tran, Nasrin Sohrabi, Zahir Tari +1
Existing rug pull detectors assume a simple workflow: the deployer keeps liquidity pool (LP) tokens and performs one or a few large sells (within a day) that collapse the pool and…
Proof-Carrying Fair Ordering: Asymmetric Verification for BFT via Incremental Graphs
Pengkun Ren, Hai Dong, Nasrin Sohrabi +2
Byzantine Fault-Tolerant (BFT) consensus protocols ensure agreement on transaction ordering despite malicious actors, but unconstrained ordering power enables sophisticated value e…
FedLAD: A Linear Algebra Based Data Poisoning Defence for Federated Learning
Qi Xiong, Hai Dong, Nasrin Sohrabi +1
Sybil attacks pose a significant threat to federated learning, as malicious nodes can collaborate and gain a majority, thereby overwhelming the system. Therefore, it is essential t…
Univariate to Multivariate: LLMs as Zero-Shot Predictors for Time-Series Forecasting
Chamara Madarasingha, Nasrin Sohrabi, Zahir Tari
Time-series prediction or forecasting is critical across many real-world dynamic systems, and recent studies have proposed using Large Language Models (LLMs) for this task due to t…
Slow is Fast! Dissecting Ethereum's Slow Liquidity Drain Scams
Minh Trung Tran, Nasrin Sohrabi, Zahir Tari +3
We identify the slow liquidity drain (SLID) scam, an insidious and highly profitable threat to decentralized finance (DeFi), posing a large-scale, persistent, and growing risk to t…
RPDP: An Efficient Data Placement based on Residual Performance for P2P Storage Systems
Fitrio Pakana, Nasrin Sohrabi, Chenhao Xu +2
Storage systems using Peer-to-Peer (P2P) architecture are an alternative to the traditional client-server systems. They offer better scalability and fault tolerance while at the sa…
AICons: An AI-Enabled Consensus Algorithm Driven by Energy Preservation and Fairness
Qi Xiong, Nasrin Sohrabi, Hai Dong +2
Blockchain has been used in several domains. However, this technology still has major limitations that are largely related to one of its core components, namely the consensus proto…
QLB: A Privacy-preserving with Integrity-assuring Query Language for Blockchain
Nasrin Sohrabi, Norrathep Rattanavipanon, Zahir Tari
The increase in the adoption of blockchain technology in different application domains e.g., healthcare systems, supplychain management, has raised the demand for a data query mech…