Anju Johnson

Dr

  • University of Huddersfield Queensgate Huddersfield HD1 3DH

    United Kingdom

Accepting PhD Students

  • Source: Scopus
  • Calculated based on no. of publications stored in Pure and citations from Scopus
20142020

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  • 2020

    A Multi-layer Security Model for 5G-Enabled Industrial Internet of Things

    Al-Aqrabi, H., Pulikkakudi Johnson, A., Hill, G., Lane, P. & Liu, L., 6 Jan 2020, Smart City and Informatization: 7th International Conference, iSCI 2019, Guangzhou, China, November 12–15, 2019, Proceedings. Wang, G., El Saddik, A., Lai, X., Martinez Perez, G. & Choo, K-K. R. (eds.). 1 ed. Springer Singapore, p. 279-292 14 p. (Communications in Computer and Information Science; vol. 1122 CCIS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    4 Citations (Scopus)
  • Document Processing: Methods for Semantic Text Similarity Analysis

    Qurashi, A. W., Holmes, V. & Johnson, A. P., 11 Sep 2020, 2020 International Conference on INnovations in Intelligent SysTems and Applications, Proceedings: INISTA 2020. Ivanovic, M., Yildirim, T., Trajcevski, G., Badica, C., Bellatreche, L., Kotenko, I., Badica, A., Erkmen, B. & Savic, M. (eds.). Institute of Electrical and Electronics Engineers Inc., 6 p. 9194665

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • 2019

    Autonomous Learning Paradigm for Spiking Neural Networks

    Liu, J., McDaid, L. J., Harkin, J., Karim, S., Johnson, A. P., Halliday, D. M., Tyrrell, A. M., Timmis, J., Millard, A. G. & Hilder, J., 9 Sep 2019, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer Verlag, p. 737-744 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11727 LNCS).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Bio-inspired Anomaly Detection for Low-cost Gas Sensors

    Liu, J., Harkin, J., McDaid, L., Karim, S., Millard, A. G., Hilder, J., Hickinbotham, S., Johnson, A. P., Timmis, J., Halliday, D. M. & Tyrrel, A. M., 28 Jan 2019, 18th International Conference on Nanotechnology, NANO 2018. IEEE Computer Society, Vol. 2018-July. 8626301

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

  • Dynamic Multiparty Authentication using Cryptographic Hardware for the Internet of Things

    Al-Aqrabi, H., Johnson, A. & Hill, R., Aug 2019, Proceedings of 2019 IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Internet of People and Smart City Innovation: SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 . Guerrero, J. (ed.). IEEE Computer Society, p. 21-28 8 p. 9060357

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Open Access
    File
    1 Citation (Scopus)
  • Time-multiplexed System-on-Chip using Fault-tolerant Astrocyte-Neuron Networks

    Johnson, A., Liu, J., Millard, A., Karim, S., Tyrrell, A., Harkin, J., Timmis, J., McDaid, L. & Halliday, D., 31 Jan 2019, Proceedings of the 2018 IEEE Symposium Series on Computational Intelligence, SSCI 2018. Sundaram, S. (ed.). IEEE, Vol. 3. p. 1076-1083 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • 2018

    Fault-tolerant Learning in Spiking Astrocyte-Neural Networks on FPGAs

    Johnson, A., Liu, J., Millard, A., Karim, S., Tyrrell, A., Harkin, J., Timmis, J., McDaid, L. & Halliday, D., 29 Mar 2018, Proceedings of the IEEE International Conference on VLSI Design. IEEE, p. 49-54 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • FPGA-based Fault-injection and Data Acquisition of Self-repairing Spiking Neural Network Hardware

    Karim, S., Harkin, J., McDaid, L., Gardiner, B., Liu, J., Halliday, D., Tyrrell, A., Timmis, J., Millard, A. & Johnson, A., 4 May 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, 5 p. 8351512

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    2 Citations (Scopus)
  • Homeostatic Fault Tolerance in Spiking Neural Networks utilizing Dynamic Partial Reconfiguration of FPGAs

    Johnson, A., Liu, J., Millard, A., Karim, S., Tyrrell, A., Harkin, J., Timmis, J., McDaid, L. & Halliday, D., 5 Feb 2018, 2017 International Conference on Field Programmable Technology (ICFPT). Beckett, P., Eguro, K. & Boland, D. (eds.). IEEE, p. 195-198 4 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    1 Citation (Scopus)
  • 2017

    An FPGA-based Hardware-Efficient Fault-Tolerant Astrocyte-Neuron Network

    Johnson, A., Halliday, D., Millard, A., Tyrrell, A., Timmis, J., Liu, J., Harkin, J., McDaid, L. & Karim, S., 13 Feb 2017, 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    10 Citations (Scopus)
  • Assessing Self-Repair on FPGAs with Biologically Realistic Astrocyte-Neuron Networks

    Karim, S., Harkin, J., McDaid, L., Gardiner, B., Liu, J., Halliday, D., Tyrrell, A., Timmis, J., Millard, A. & Johnson, A., 24 Jul 2017, 2017 IEEE Computer Society Annual Symposium on VLSI . Hübner, M., Reis, R., Stan, M. & Voros, N. (eds.). IEEE, p. 421-426 6 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    4 Citations (Scopus)
  • Self-Repairing Learning Rule for Spiking Astrocyte-Neuron Networks

    Liu, J., McDaid, L., Harkin, J., Wade, J., Karim, S., Johnson, A., Millard, A., Halliday, D., Tyrrell, A. & Timmis, J., 26 Oct 2017, Neural Information Processing: 24th International Conference, ICONIP 2017, Guangzhou, China, November 14-18, 2017, Proceedings, Part VI (Theoretical Computer Science and General Issues). Liu, D., Xie, S. & Li, Y. (eds.). Springer, Cham, p. 384-392 9 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Citations (Scopus)
  • 2016

    Remote Dynamic Clock Reconfiguration Based Attacks on Internet of Things Applications

    Johnson, A., Patranabis, S., Chakraborty, R. S. & Mukhopadhyay, D., 27 Oct 2016, 2016 Euromicro Conference on Digital System Design (DSD). Kitsos, P. (ed.). IEEE, p. 431-438 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    3 Citations (Scopus)
  • 2015

    A Novel Attack on a FPGA based True Random Number Generator

    Johnson, A., Chakraborty, R. S. & Mukhopadhyay, D., 4 Oct 2015, Proceedings of the WESS'15: Workshop on Embedded Systems Security. Association for Computing Machinery (ACM), 6 p. 6

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    9 Citations (Scopus)
  • 2014

    Fault Attack on AES via Hardware Trojan Insertion by Dynamic Partial Reconfiguration of FPGA over Ethernet

    Johnson, A., Saha, S., Chakraborty, R. S., Mukhopadhyay, D. & Gören, S., 12 Oct 2014, Proceedings of the 9th Workshop on Embedded Systems Security: WESS '14 . Association for Computing Machinery (ACM), 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    18 Citations (Scopus)