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292 results on '"Majumdar, Suryadipta"'

1. Evaluating the Security Posture of 5G Networks by Combining State Auditing and Event Monitoring

Author

Hoq, Md Nazmul, Yao, Jia Wei, Majumdar, Suryadipta, Suárez, Luis, Wang, Lingyu, Boukhtouta, Amine, Pourzandi, Makan, Debbabi, Mourad, 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, Tsudik, Gene, editor, Conti, Mauro, editor, Liang, Kaitai, editor, and Smaragdakis, Georgios, editor

Published
2024
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3. DPOAD: Differentially Private Outsourcing of Anomaly Detection through Iterative Sensitivity Learning

Author

Mohammady, Meisam, Wang, Han, Wang, Lingyu, Zhang, Mengyuan, Jarraya, Yosr, Majumdar, Suryadipta, Pourzandi, Makan, Debbabi, Mourad, and Hong, Yuan

Subjects
Computer Science - Cryptography and Security, Computer Science - Machine Learning
Abstract

Outsourcing anomaly detection to third-parties can allow data owners to overcome resource constraints (e.g., in lightweight IoT devices), facilitate collaborative analysis (e.g., under distributed or multi-party scenarios), and benefit from lower costs and specialized expertise (e.g., of Managed Security Service Providers). Despite such benefits, a data owner may feel reluctant to outsource anomaly detection without sufficient privacy protection. To that end, most existing privacy solutions would face a novel challenge, i.e., preserving privacy usually requires the difference between data entries to be eliminated or reduced, whereas anomaly detection critically depends on that difference. Such a conflict is recently resolved under a local analysis setting with trusted analysts (where no outsourcing is involved) through moving the focus of differential privacy (DP) guarantee from "all" to only "benign" entries. In this paper, we observe that such an approach is not directly applicable to the outsourcing setting, because data owners do not know which entries are "benign" prior to outsourcing, and hence cannot selectively apply DP on data entries. Therefore, we propose a novel iterative solution for the data owner to gradually "disentangle" the anomalous entries from the benign ones such that the third-party analyst can produce accurate anomaly results with sufficient DP guarantee. We design and implement our Differentially Private Outsourcing of Anomaly Detection (DPOAD) framework, and demonstrate its benefits over baseline Laplace and PainFree mechanisms through experiments with real data from different application domains.

Published
2022

4. On Reducing Underutilization of Security Standards by Deriving Actionable Rules: An Application to IoT

Author

Shuvo, Md. Wasiuddin Pathan, Hoq, Md. Nazmul, Majumdar, Suryadipta, Shirani, Paria, 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, Günther, Felix, editor, and Hesse, Julia, editor

Published
2023
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6. MLFM: Machine Learning Meets Formal Method for Faster Identification of Security Breaches in Network Functions Virtualization (NFV)

Author

Oqaily, Alaa, Jarraya, Yosr, Wang, Lingyu, Pourzandi, Makan, Majumdar, Suryadipta, 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, Atluri, Vijayalakshmi, editor, Di Pietro, Roberto, editor, Jensen, Christian D., editor, and Meng, Weizhi, editor

Published
2022
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8. Towards an Attention-Based Accurate Intrusion Detection Approach

Author

Dey, Arunavo, Hossain, Md. Shohrab, Hoq, Md. Nazmul, Majumdar, Suryadipta, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin (Sherman), Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Yuan, Xingliang, editor, Bao, Wei, editor, Yi, Xun, editor, and Tran, Nguyen Hoang, editor

Published
2021
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9. SECURITY AUDITING OF INTERNET OF THINGS DEVICES IN A SMART HOME

Author

Majumdar, Suryadipta, Bastos, Daniel, Singhal, Anoop, Rannenberg, Kai, Editor-in-Chief, Soares Barbosa, Luís, Editorial Board Member, Goedicke, Michael, Editorial Board Member, Tatnall, Arthur, Editorial Board Member, Neuhold, Erich J., Editorial Board Member, Stiller, Burkhard, Editorial Board Member, Tröltzsch, Fredi, Editorial Board Member, Pries-Heje, Jan, Editorial Board Member, Kreps, David, Editorial Board Member, Reis, Ricardo, Editorial Board Member, Furnell, Steven, Editorial Board Member, Mercier-Laurent, Eunika, Editorial Board Member, Winckler, Marco, Editorial Board Member, Malaka, Rainer, Editorial Board Member, Peterson, Gilbert, editor, and Shenoi, Sujeet, editor

Published
2021
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10. Proactive Security Auditing in Clouds

Author

Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Jajodia, Sushil, Series Editor, Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, and Debbabi, Mourad

Published
2019
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11. Runtime Security Policy Enforcement in Clouds

Author

Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Jajodia, Sushil, Series Editor, Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, and Debbabi, Mourad

Published
2019
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12. User-Level Runtime Security Auditing for the Cloud

Author

Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Jajodia, Sushil, Series Editor, Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, and Debbabi, Mourad

Published
2019
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13. Auditing Virtual Network Isolation Across Cloud Layers

Author

Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Jajodia, Sushil, Series Editor, Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, and Debbabi, Mourad

Published
2019
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14. Auditing Security Compliance of the Virtualized Infrastructure

Author

Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Jajodia, Sushil, Series Editor, Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, and Debbabi, Mourad

Published
2019
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15. Literature Review

Author

Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Jajodia, Sushil, Series Editor, Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, and Debbabi, Mourad

Published
2019
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16. Introduction

Author

Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Jajodia, Sushil, Series Editor, Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, and Debbabi, Mourad

Published
2019
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19. Proactively Extracting IoT Device Capabilities: An Application to Smart Homes

Author

Dolan, Andy, Ray, Indrakshi, Majumdar, Suryadipta, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Singhal, Anoop, editor, and Vaidya, Jaideep, editor

Published
2020
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20. Conclusion

Author

Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Jajodia, Sushil, Series Editor, Majumdar, Suryadipta, Madi, Taous, Wang, Yushun, Tabiban, Azadeh, Oqaily, Momen, Alimohammadifar, Amir, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, and Debbabi, Mourad

Published
2019
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21. Proactivizer: Transforming Existing Verification Tools into Efficient Solutions for Runtime Security Enforcement

Author

Majumdar, Suryadipta, Tabiban, Azadeh, Mohammady, Meisam, Oqaily, Alaa, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Sako, Kazue, editor, Schneider, Steve, editor, and Ryan, Peter Y. A., editor

Published
2019
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22. Cloud Security Auditing: Major Approaches and Existing Challenges

Author

Majumdar, Suryadipta, Madi, Taous, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Pandu Rangan, C., Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Zincir-Heywood, Nur, editor, Bonfante, Guillaume, editor, Debbabi, Mourad, editor, and Garcia-Alfaro, Joaquin, editor

Published
2019
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24. Stealthy Probing-Based Verification (SPV): An Active Approach to Defending Software Defined Networks Against Topology Poisoning Attacks

Author

Alimohammadifar, Amir, Majumdar, Suryadipta, Madi, Taous, Jarraya, Yosr, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Lopez, Javier, editor, Zhou, Jianying, editor, and Soriano, Miguel, editor

Published
2018
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27. LeaPS: Learning-Based Proactive Security Auditing for Clouds

Author

Majumdar, Suryadipta, Jarraya, Yosr, Oqaily, Momen, Alimohammadifar, Amir, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Hutchison, David, Series Editor, Kanade, Takeo, Series Editor, Kittler, Josef, Series Editor, Kleinberg, Jon M., Series Editor, Mattern, Friedemann, Series Editor, Mitchell, John C., Series Editor, Naor, Moni, Series Editor, Pandu Rangan, C., Series Editor, Steffen, Bernhard, Series Editor, Terzopoulos, Demetri, Series Editor, Tygar, Doug, Series Editor, Weikum, Gerhard, Series Editor, Foley, Simon N., editor, Gollmann, Dieter, editor, and Snekkenes, Einar, editor

Published
2017
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29. Proactive Verification of Security Compliance for Clouds Through Pre-computation: Application to OpenStack

Author

Majumdar, Suryadipta, Jarraya, Yosr, Madi, Taous, Alimohammadifar, Amir, Pourzandi, Makan, Wang, Lingyu, Debbabi, Mourad, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Askoxylakis, Ioannis, editor, Ioannidis, Sotiris, editor, Katsikas, Sokratis, editor, and Meadows, Catherine, editor

Published
2016
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30. Caught-in-Translation (CiT): Detecting Cross-Level Inconsistency Attacks in Network Functions Virtualization (NFV)

Author

Lakshmanan, Sudershan, Zhang, Mengyuan, Majumdar, Suryadipta, Jarraya, Yosr, Pourzandi, Makan, and Wang, Lingyu

Abstract

As one of the main technology pillars of 5 G networks, Network Functions Virtualization (NFV) enables agile and cost-effective deployment of network services. However, the multi-level, multi-actor design of NFV may also allow for inconsistency between the different abstraction levels to be mistakenly or intentionally introduced, as shown in recent studies. Serious security issues, such as man-in-the-middle, network sniffing, and DoS, may arise at one abstraction level without being noticed by the victims at another level. Most existing solutions are either limited to one abstraction level of NFV or reliant on direct access to lower-level data which could become inaccessible when managed by different providers. In this paper, by drawing an analogy between cross-level NFV event sequences and natural languages, we propose a Neural Machine Translation-based approach, namely, Caught-in-Translation (CiT), to detect cross-level inconsistency attacks in NFV at runtime. Specifically, we first extract event sequences from different abstraction levels of an NFV stack. We then leverage Long Short-Term Memory (LSTM) to translate the event sequences from one level to another. Finally, we apply both a similarity metric and a Siamese neural network to compare the translated event sequences with the original ones to detect attacks. We integrate CiT into OpenStack/Tacker, a popular open-source NFV implementation, and evaluate its performance using both real and synthetic data. Experimental results show the benefit of leveraging NMT as CiT achieves AUC $\geq$≥ 96.03%, which significantly outperforms traditional SVM-based anomaly detection. We also evaluate CiT in terms of its efficiency, scalability, and robustness for detecting inconsistency attacks in NFV platforms.

Published
2024
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31. iCAT+: An Interactive Customizable Anonymization Tool Using Automated Translation Through Deep Learning

Author

Oqaily, Momen, Kabir, Mohammad Ekramul, Majumdar, Suryadipta, Jarraya, Yosr, Zhang, Mengyuan, Pourzandi, Makan, Wang, Lingyu, and Debbabi, Mourad

Abstract

Data anonymization is a viable solution for data owners to mitigate their privacy concerns. However, existing data anonymization tools are inflexible to support various privacy and utility requirements of both data owners and data users. In most cases, this limitation is due to a lack of understanding of those requirements as well as the non-customizability of the existing tools. To address this limitation, we propose iCAT+, which is an interactive and customizable anonymization approach. More specifically, we first automate the interpretation of data owners’ and data users’ textual requirements by deploying a Convolutional Neural Network (CNN) model for Natural Language Processing (NLP). Second, we introduce the concept of the anonymization space to model possible combinations of per-attribute anonymization primitives based on the level of privacy and utility that each primitive provides. Third, we design an ontology model that maps the translated requirements into their appropriate anonymization primitives in the defined anonymization space corresponding to the plain data. Fourth, we evaluate the efficiency and effectiveness of iCAT+ based on both real and synthetic network data. Finally, we assess its usability through a real user study involving participants from industry and research laboratories. Our experiments show the effectiveness and efficiency of our solution (e.g., requirement translation accuracy of 99% at the data owner side and 98% at the data user side, with a computational time of around one minute for the Google cluster dataset).

Published
2024
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32. Introduction

Author

Majumdar, Suryadipta, primary, Madi, Taous, additional, Wang, Yushun, additional, Tabiban, Azadeh, additional, Oqaily, Momen, additional, Alimohammadifar, Amir, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2019
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33. Cloud Security Auditing

Author

Majumdar, Suryadipta, primary, Madi, Taous, additional, Wang, Yushun, additional, Tabiban, Azadeh, additional, Oqaily, Momen, additional, Alimohammadifar, Amir, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2019
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34. Runtime Security Policy Enforcement in Clouds

Author

Majumdar, Suryadipta, primary, Madi, Taous, additional, Wang, Yushun, additional, Tabiban, Azadeh, additional, Oqaily, Momen, additional, Alimohammadifar, Amir, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2019
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35. Auditing Security Compliance of the Virtualized Infrastructure

Author

Majumdar, Suryadipta, primary, Madi, Taous, additional, Wang, Yushun, additional, Tabiban, Azadeh, additional, Oqaily, Momen, additional, Alimohammadifar, Amir, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2019
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36. Literature Review

Author

Majumdar, Suryadipta, primary, Madi, Taous, additional, Wang, Yushun, additional, Tabiban, Azadeh, additional, Oqaily, Momen, additional, Alimohammadifar, Amir, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2019
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37. Conclusion

Author

Majumdar, Suryadipta, primary, Madi, Taous, additional, Wang, Yushun, additional, Tabiban, Azadeh, additional, Oqaily, Momen, additional, Alimohammadifar, Amir, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2019
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38. Proactive Security Auditing in Clouds

Author

Majumdar, Suryadipta, primary, Madi, Taous, additional, Wang, Yushun, additional, Tabiban, Azadeh, additional, Oqaily, Momen, additional, Alimohammadifar, Amir, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2019
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40. User-Level Runtime Security Auditing for the Cloud

Author

Majumdar, Suryadipta, primary, Madi, Taous, additional, Wang, Yushun, additional, Tabiban, Azadeh, additional, Oqaily, Momen, additional, Alimohammadifar, Amir, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2019
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41. Auditing Virtual Network Isolation Across Cloud Layers

Author

Majumdar, Suryadipta, primary, Madi, Taous, additional, Wang, Yushun, additional, Tabiban, Azadeh, additional, Oqaily, Momen, additional, Alimohammadifar, Amir, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2019
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46. ProSAS: Proactive Security Auditing System for Clouds

Author

Majumdar, Suryadipta, primary, Chawla, Gagandeep Singh, additional, Alimohammadifar, Amir, additional, Madi, Taous, additional, Jarraya, Yosr, additional, Pourzandi, Makan, additional, Wang, Lingyu, additional, and Debbabi, Mourad, additional

Published
2022
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