AI enabled IoT systems

Xu, Guangquan, Zhao, Yuyang, Litao, Jiao, Feng, Meiqi, Ji, Zhong, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Chen, Si and Zheng, Xi (2020) TTSVD: an efficient sparse decision making model with two-way trust recommendation in the AI enabled IoT systems. IEEE Internet of Things, 8 (12). pp. 9559-9567. ISSN 2327-4662 (Online) (doi:https://doi.org/10.1109/JIOT.2020.3006066)

anomaly detection

Li, Xiaoming, Xu, Guangquan, Zheng, Xi, Liang, Kaitai, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Li, Tao, Wang, Wei and Shen, Chao (2019) Using sparse representation to detect anomalies in complex WSNs. ACM Transactions on Intelligent Systems and Technology, 10 (6):64. ISSN 2157-6904 (Print), 2157-6912 (Online) (doi:https://doi.org/10.1145/3331147)

collaborative filtering

Xu, Guangquan, Zhao, Yuyang, Litao, Jiao, Feng, Meiqi, Ji, Zhong, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Chen, Si and Zheng, Xi (2020) TTSVD: an efficient sparse decision making model with two-way trust recommendation in the AI enabled IoT systems. IEEE Internet of Things, 8 (12). pp. 9559-9567. ISSN 2327-4662 (Online) (doi:https://doi.org/10.1109/JIOT.2020.3006066)

hybrid analysis

Xu, Guangquan, Feng, Meiqi, Jiao, Litao, Liu, Jian, Dai, Hong-Ning, Wang, Ding, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 and Zheng, Xi (2022) MFF-AMD: multivariate feature fusion for Android malware detection. In: CollaborateCom 2021: Networking, Applications and Worksharing 17th EAI. Virtual Event, October 16-18, 2021, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 406), 406 (ch. 10). Springer Link, Cham, pp. 368-385. ISBN 9783030926342 ; 9783030926359

intelligent recommendation system

Xu, Guangquan, Zhao, Yuyang, Litao, Jiao, Feng, Meiqi, Ji, Zhong, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Chen, Si and Zheng, Xi (2020) TTSVD: an efficient sparse decision making model with two-way trust recommendation in the AI enabled IoT systems. IEEE Internet of Things, 8 (12). pp. 9559-9567. ISSN 2327-4662 (Online) (doi:https://doi.org/10.1109/JIOT.2020.3006066)

malware detection

Xu, Guangquan, Feng, Meiqi, Jiao, Litao, Liu, Jian, Dai, Hong-Ning, Wang, Ding, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 and Zheng, Xi (2022) MFF-AMD: multivariate feature fusion for Android malware detection. In: CollaborateCom 2021: Networking, Applications and Worksharing 17th EAI. Virtual Event, October 16-18, 2021, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 406), 406 (ch. 10). Springer Link, Cham, pp. 368-385. ISBN 9783030926342 ; 9783030926359

multivariate feature fusion

Xu, Guangquan, Feng, Meiqi, Jiao, Litao, Liu, Jian, Dai, Hong-Ning, Wang, Ding, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 and Zheng, Xi (2022) MFF-AMD: multivariate feature fusion for Android malware detection. In: CollaborateCom 2021: Networking, Applications and Worksharing 17th EAI. Virtual Event, October 16-18, 2021, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 406), 406 (ch. 10). Springer Link, Cham, pp. 368-385. ISBN 9783030926342 ; 9783030926359

sparse decision making

Xu, Guangquan, Zhao, Yuyang, Litao, Jiao, Feng, Meiqi, Ji, Zhong, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Chen, Si and Zheng, Xi (2020) TTSVD: an efficient sparse decision making model with two-way trust recommendation in the AI enabled IoT systems. IEEE Internet of Things, 8 (12). pp. 9559-9567. ISSN 2327-4662 (Online) (doi:https://doi.org/10.1109/JIOT.2020.3006066)

two-way trust recommendation

Xu, Guangquan, Zhao, Yuyang, Litao, Jiao, Feng, Meiqi, Ji, Zhong, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Chen, Si and Zheng, Xi (2020) TTSVD: an efficient sparse decision making model with two-way trust recommendation in the AI enabled IoT systems. IEEE Internet of Things, 8 (12). pp. 9559-9567. ISSN 2327-4662 (Online) (doi:https://doi.org/10.1109/JIOT.2020.3006066)

weight distribution

Xu, Guangquan, Feng, Meiqi, Jiao, Litao, Liu, Jian, Dai, Hong-Ning, Wang, Ding, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 and Zheng, Xi (2022) MFF-AMD: multivariate feature fusion for Android malware detection. In: CollaborateCom 2021: Networking, Applications and Worksharing 17th EAI. Virtual Event, October 16-18, 2021, Proceedings, Part I. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 406), 406 (ch. 10). Springer Link, Cham, pp. 368-385. ISBN 9783030926342 ; 9783030926359

wireless sensor networks

Li, Xiaoming, Xu, Guangquan, Zheng, Xi, Liang, Kaitai, Panaousis, Emmanouil ORCID: 0000-0001-7306-4062 , Li, Tao, Wang, Wei and Shen, Chao (2019) Using sparse representation to detect anomalies in complex WSNs. ACM Transactions on Intelligent Systems and Technology, 10 (6):64. ISSN 2157-6904 (Print), 2157-6912 (Online) (doi:https://doi.org/10.1145/3331147)