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80 results on '"Pirouz Matin"'

1. A Cognitive Framework to Secure Smart Cities

Author

Tayeb Shahab, Raste Neha, Pirouz Matin, and Latifi Shahram

Subjects
Engineering (General). Civil engineering (General), TA1-2040
Abstract

The advancement in technology has transformed Cyber Physical Systems and their interface with IoT into a more sophisticated and challenging paradigm. As a result, vulnerabilities and potential attacks manifest themselves considerably more than before, forcing researchers to rethink the conventional strategies that are currently in place to secure such physical systems. This manuscript studies the complex interweaving of sensor networks and physical systems and suggests a foundational innovation in the field. In sharp contrast with the existing IDS and IPS solutions, in this paper, a preventive and proactive method is employed to stay ahead of attacks by constantly monitoring network data patterns and identifying threats that are imminent. Here, by capitalizing on the significant progress in processing power (e.g. petascale computing) and storage capacity of computer systems, we propose a deep learning approach to predict and identify various security breaches that are about to occur. The learning process takes place by collecting a large number of files of different types and running tests on them to classify them as benign or malicious. The prediction model obtained as such can then be used to identify attacks. Our project articulates a new framework for interactions between physical systems and sensor networks, where malicious packets are repeatedly learned over time while the system continually operates with respect to imperfect security mechanisms.

Published
2018
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2. Ranking-Based Community Detection for Social Networks

Author

Pirouz, Matin, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Arai, Kohei, editor

Published
2022
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4. Balanced Weighted Label Propagation

Author

Pirouz, Matin, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, and Arai, Kohei, editor

Published
2021
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5. Optimizing Connectivity for the Internet of Vehicles

Author

Gill, Sumanjit, Wong, Robert, Tayeb, Shahab, Trueblood, Fletcher, Pirouz, Matin, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Arai, Kohei, editor, Kapoor, Supriya, editor, and Bhatia, Rahul, editor

Published
2021
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6. EEG Analysis for Predicting Early Autism Spectrum Disorder Traits

Author

Saran, Parneet Kaur, Pirouz, Matin, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Arai, Kohei, editor, Kapoor, Supriya, editor, and Bhatia, Rahul, editor

Published
2021
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7. A New Convolution Neural Network Model for Stock Price Prediction

Author

Wu, Jimmy Ming-Tai, Li, Zhongcui, Lin, Jerry Chun-Wei, Pirouz, Matin, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Pan, Jeng-Shyang, editor, Lin, Jerry Chun-Wei, editor, Liang, Yongquan, editor, and Chu, Shu-Chuan, editor

Published
2020
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8. Automated Drug Suggestion Using Machine Learning

Author

Doma, Vikrant, Singh, Sahil, Arora, Nikita, Ortiz, Gabriel, Saran, Parneet Kaur, Chavarin, Salvador, Pirouz, Matin, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Arai, Kohei, editor, Kapoor, Supriya, editor, and Bhatia, Rahul, editor

Published
2020
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9. A Novel Recommender System for Healthy Grocery Shopping

Author

Bodike, Yadagiri, Heu, David, Kadari, Bhavishya, Kiser, Brandon, Pirouz, Matin, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Arai, Kohei, editor, Kapoor, Supriya, editor, and Bhatia, Rahul, editor

Published
2020
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11. A Latent Variable CRF Model for Labeling Prediction

Author

Lin, Jerry Chun-Wei, Wu, Jimmy Ming-Tai, Shao, Yinan, Pirouz, Matin, Zhang, Binbin, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Lin, Jerry Chun-Wei, editor, Ting, I-Hsien, editor, Tang, Tiffany, editor, and Wang, Kai, editor

Published
2019
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12. An Effective BI-encoded Schema for Mention Extraction

Author

Lin, Jerry Chun-Wei, Wu, Jimmy Ming-Tai, Shao, Yinan, Pirouz, Matin, Zhang, Binbin, Barbosa, Simone Diniz Junqueira, Editorial Board Member, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Kotenko, Igor, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Lin, Jerry Chun-Wei, editor, Ting, I-Hsien, editor, Tang, Tiffany, editor, and Wang, Kai, editor

Published
2019
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24. Amassing the Security: An Enhanced Authentication and Key Agreement Protocol for Remote Surgery in Healthcare Environment.

Author

Tsu-Yang Wu, Qian Meng, Lei Yang, Kumari, Saru, and Pirouz, Matin

Subjects
KEY agreement protocols (Computer network protocols), INTERNET of things, STANDARD of living, SURGERY, MEDICAL care
Abstract

The development of the Internet of Things has facilitated the rapid development of various industries. With the improvement in people's living standards, people's health requirements are steadily improving. However, owing to the scarcity of medical and health care resources in some areas, the demand for remote surgery has gradually increased. In this paper, we investigate remote surgery in the healthcare environment. Surgeons can operate robotic arms to perform remote surgery for patients, which substantially facilitates successful surgeries and saves lives. Recently, Kamil et al. proposed a secure protocol for surgery in the healthcare environment. However, after cryptanalyzing their protocol, we deduced that their protocols are vulnerable to temporary value disclosure and insider attacks. Therefore, we design an improved authentication and key agreement protocol for remote surgeries in the healthcare environment. Accordingly, we adopt the real or random (ROR)model and an automatic verification tool Proverif to verify the security of our protocol. Via security analysis and performance comparison, it is confirmed that our protocol is a relatively secure protocol. [ABSTRACT FROM AUTHOR]

Published
2023
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41. The Efficient Mining of Skyline Patterns from a Volunteer Computing Network.

Author

MING-TAI WU, JIMMY, QIAN TENG, SRIVASTAVA, GAUTAM, PIROUZ, MATIN, and CHUN-WEI LIN, JERRY

Subjects
SEQUENTIAL pattern mining, VOLUNTEERS, VOLUNTEER service
Abstract

In the ever-growing world, the concepts of High-utility Itemset Mining (HUIM) as well as Frequent Itemset Mining (FIM) are fundamental works in knowledge discovery. Several algorithms have been designed successfully. However, these algorithms only used one factor to estimate an itemset. In the past, skyline pattern mining by considering both aspects of frequency and utility has been extensively discussed. In most cases, however, people tend to focus on purchase quantities of itemsets rather than frequencies. In this article, we propose a new knowledge called skyline quantity-utility pattern (SQUP) to provide better estimations in the decision-making process by considering quantity and utility together. Two algorithms, respectively, called SQU-Miner and SKYQUP are presented to efficiently mine the set of SQUPs. Moreover, the usage of volunteer computing is proposed to show the potential in real supermarket applications. Two new efficient utility-max structures are also mentioned for the reduction of the candidate itemsets, respectively, utilized in SQU-Miner and SKYQUP. These two new utility-max structures are used to store the upper-bound of utility for itemsets under the quantity constraint instead of frequency constraint, and the second proposed utility-max structure moreover applies a recursive updated process to further obtain strict upper-bound of utility. Our in-depth experimental results prove that SKYQUP has stronger performance when a comparison is made to SQU-Miner in terms of memory usage, runtime, and the number of candidates. [ABSTRACT FROM AUTHOR]

Published
2021
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