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Your search keyword '"Saxena, Neetesh"' showing total 131 results
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131 results on '"Saxena, Neetesh"'

2. POSTER: Adaptive Moving Target Defense: Enhancing Dynamic Perturbation Through Voltage Sensitivity Analysis in Power Systems

Author

Nafees, Muhammad Nouman, Saxena, Neetesh, Burnap, Pete, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Zhou, Jianying, editor, Batina, Lejla, editor, Li, Zengpeng, editor, Lin, Jingqiang, editor, Losiouk, Eleonora, editor, Majumdar, Suryadipta, editor, Mashima, Daisuke, editor, Meng, Weizhi, editor, Picek, Stjepan, editor, Rahman, Mohammad Ashiqur, editor, Shao, Jun, editor, Shimaoka, Masaki, editor, Soremekun, Ezekiel, editor, Su, Chunhua, editor, Teh, Je Sen, editor, Udovenko, Aleksei, editor, Wang, Cong, editor, Zhang, Leo, editor, and Zhauniarovich, Yury, editor

Published
2023
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6. On the Feasibility of DoS Attack on Smart Door Lock IoT Network

Author

Asad, Belal, Saxena, Neetesh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Thampi, Sabu M., editor, Wang, Guojun, editor, Rawat, Danda B., editor, Ko, Ryan, editor, and Fan, Chun-I, editor

Published
2021
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7. Improving Smart Healthcare Safety and Security Using Kinect

Author

Singh, Vijai, Saxena, Neetesh, Pathak, Drashti, Saini, Garima, Bhatnagar, Divya, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Agrawal, Rajeev, editor, Sanyal, Goutam, editor, Curran, Kevin, editor, Balas, Valentina Emilia, editor, and Gaur, Madhu Sharma, editor

Published
2021
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8. System-level operational cyber risks identification in industrial control systems.

Author

Rotibi, Ayodeji O., Saxena, Neetesh, Burnap, Pete, and Read, Craig

Subjects
*INDUSTRIAL controls manufacturing, *OPERATIONAL risk, *BAYESIAN analysis, *IDENTIFICATION, *DECISION making
Abstract

In Industrial Control Systems (ICS), where complex interdependencies abound, cyber incidents can have far-reaching consequences. Dependency modelling, a valuable technique for assessing cyber risks, aims to decipher relationships among variables. However, its effectiveness is often hampered by limited data exposure, hindering the analysis of direct and indirect impacts. We present a unique method that transforms dependency modelling data into a Bayesian Network (BN) structure and leverages causality and reasoning to extract inferences from seemingly unrelated events. Using operational ICS data, we confirm our method enables stakeholders to make better decisions about system security, stability, and reliability. [ABSTRACT FROM AUTHOR]

Published
2024
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16. Smart Grid Cyber-Physical Situational Awareness of Complex Operational Technology Attacks: A Review.

Author

NAFEES, MUHAMMAD NOUMAN, SAXENA, NEETESH, CARDENAS, ALVARO, GRIJALVA, SANTIAGO, and BURNAP, PETE

Subjects
*SITUATIONAL awareness, *GREEN infrastructure, *EVIDENCE gaps, *ELECTRIC power distribution grids, *MACHINE-to-machine communications
Abstract

The smart grid (SG), regarded as the complex cyber-physical ecosystem of infrastructures, orchestrates advanced communication, computation, and control technologies to interact with the physical environment. Due to the high rewards that threats to the grid can realize, adversaries can mount complex cyber-attacks such as advanced persistent threats-based and coordinated attacks to cause operational malfunctions and power outages in the worst scenarios: The latter of which was reflected in the Ukrainian power grid attack. Despite widespread research on smart grid security, the impact of targeted attacks on control and power systems is anecdotal. This article reviews the smart grid security from collaborative factors, emphasizing the situational awareness (SA). Specifically, we propose a threat modeling framework and review the nature of cyber-physical attacks to understand their characteristics and impacts on the smart grid’s control and physical systems. We examine the existing threats detection and defense capabilities, such as intrusion detection systems (IDSs), moving target defense (MTD), and co-simulation techniques, along with discussing the impact of attacks through situational awareness and power system metrics. We discuss the human factor aspects for power system operators in analyzing the impacts of cyber-attacks. Finally, we investigate the research challenges with key research gaps to shed light on future research directions. [ABSTRACT FROM AUTHOR]

Published
2023
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22. Poster

Author

Nafees, Muhammad Nouman, primary, Saxena, Neetesh, additional, and Burnap, Pete, additional

Published
2022
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39. CB-DA: Lightweight and Escrow-Free Certificate-Based Data Aggregation for Smart Grid

Author

Verma, Girraj Kumar, Gope, Prosanta, Saxena, Neetesh, and Kumar, Neeraj

Abstract

Recent development of smart cities includes advanced and optimized use of modern smart grid (SG) than the traditional power grid. The paradigm of SG has also transformed houses into a home area networks, where several smart devices and appliances are connected to the electricity control centers (ECC). Appliances share their load and consumption related information to ECC through smart meters. This consumption data may be used for supply-demand management, for example, by ramping production up or down as needed. However, security and privacy of the consumer's data are greatly important since fine-grained smart meter data may reveal users presence/absence in their house. To address this issue, several public-key-based or identity-based data aggregation schemes have been proposed in the literature. However, most of such schemes either suffer from the complexity of certificate management or key escrow problem. To eliminate these issues, in this paper, we propose an efficient certificate-based data aggregation (CB-DA) scheme. In the proposed CB-DA scheme, the owner selects a secret key and then use the secret key along with certificates as decryption/signing keys. Our analysis shows that the proposed CB-DA is secure under the random oracle model and more efficient than the existing data aggregation schemes.

Published
2023
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