Ayush Kumar 0001

dblp:143/9006-1 · DBLP profile ↗
← Back
4ranked-venue papers
4as first author
3since 2021 · last 2023
0000-0002-5174-9906ORCID · conflict

Domains — the database's venue-derived domains; a paper can count in several

Security and privacy · 4 · 4 first-author · 3 since 2021
YearPublicationVenuePosition
2023 RAPTOR: Advanced Persistent Threat Detection in Industrial IoT via Attack Stage Correlation
abstract
Past Advanced Persistent Threat (APT) attacks on Industrial Internet-of-Things (IIoT), such as the 2016 Ukrainian power grid attack and the 2017 Saudi petrochemical plant attack, have shown the disruptive effects of APT campaigns while new IIoT malware continue to be developed by APT groups. Existing APT detection systems have been designed using cyberattack TTPs modelled for enterprise IT networks and leverage specific data sources (e.g., Linux audit logs, Windows event logs) which are not found on ICS devices. In this work, we propose RAPTOR, a system to detect APT campaigns in IIoT. Using cyberattack TTPs modelled for ICS/OT environments and focusing on ‘invariant’ attack phases, RAPTOR detects and correlates various APT attack stages in IIoT leveraging data which can be readily collected from ICS devices/networks (packet traffic traces, IDS alerts). Subsequently, it constructs a high-level APT campaign graph which can be used by cybersecurity analysts towards attack analysis and mitigation. A performance evaluation of RAPTOR’s APT attack-stage detection modules shows high precision and low false positive/negative rates. We also show that RAPTOR is able to construct the APT campaign graph for APT attacks (modelled after real-world attacks on ICS/OT infrastructure) executed on our IIoT testbed.
Ayush Kumar 0001, Vrizlynn L. L. Thing
PST1
2023 A Public Key Infrastructure for 5G Service-Based Architecture
abstract
The 3GPP 5G Service-based Architecture (SBA) security specifications leave several details on how to setup an appropriate Public Key Infrastructure (PKI) for 5G SBA, unspecified. In this work, we propose 5G-SBA-PKI, a public key infrastructure for secure inter-NF communication in 5G SBA core networks, where NF refers to Network Functions. 5G-SBA-PKI is designed to include multiple certificate authorities (with different scopes of operation and capabilities) at different PLMN levels for certification operations and key exchange between communicating NFs, where PLMN refers to a Public Land Mobile Network. We conduct a formal analysis of 5G-SBA-PKI with respect to the desired security properties using TAMARIN prover. Finally, we evaluate 5G-SBA-PKI’s performance with "pre-quantum" as well as quantum-safe cryptographic algorithms.
Ayush Kumar 0001, Vrizlynn L. L. Thing
TrustCom1
2022 Machine learning-based early detection of IoT botnets using network-edge traffic
Ayush Kumar 0001, Mrinalini Shridhar, Sahithya Swaminathan, Teng Joon Lim
Comput. Secur.1
2020 ML-Based Early Detection of IoT Botnets
Ayush Kumar 0001, Mrinalini Shridhar, Sahithya Swaminathan, Teng Joon Lim
SecureComm (2)1