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Found 6 papers, 0 papers with code
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 cryptojacking.
EPASAD: Ellipsoid decision boundary based Process-Aware Stealthy Attack Detector
Detection of an ongoing attack that escapes standard protection such as firewall, anti-virus, and host/network intrusion detection has gained importance as such attacks eventually affect the physical dynamics of the system.
Towards Malicious address identification in Bitcoin
We are motivated to study the Bitcoin transaction network and use the temporal features such as burst, attractiveness, and inter-event time along with several graph-based properties such as the degree of node and clustering coefficient to validate the applicability of already existing approaches known for other cryptocurrency blockchains on the Bitcoin blockchain.
Vulnerability and Transaction behavior based detection of Malicious Smart Contracts
In this work, we study the correlation between malicious activities and the vulnerabilities present in SCs and find that some malicious activities are correlated with certain types of vulnerabilities.
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 cyber-criminals costing billions of dollars.
Sequence to sequence deep learning models for solar irradiation forecasting
The energy output a photo voltaic(PV) panel is a function of solar irradiation and weather parameters like temperature and wind speed etc.
