Items where Author is "Zargari, Shahrzad"

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Number of items: 23.

Article

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ZARGARI, Shahrzad and DYSON, Jack (2022). Memory forensics: comparing the correctness of memory captures from locked Windows 10 machines using different boot capture vectors. Latin-American Journal of Computing, 9 (2), 37-51.

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ZARGARI, Shahrzad (2022). What is digital forensics? ITNOW, 64 (2), 46-47.

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KUNEV, Dimitar, JANARTHANAN, Tharmini and ZARGARI, Shahrzad (2021). The investigative significance of digital artefacts discovered in forensic images of household IoT devices using open-source software. International Journal of Intelligent Computing Research, 12 (1), 1096-1104.

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MWITONDI, Kassim, SAID, Raed A and ZARGARI, Shahrzad (2019). A robust domain partitioning intrusion detection method. Journal of information security and applications, 48.

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AJAO, Seun, BHOWMIK, Deepayan and ZARGARI, Shahrzad (2019). Sentiment aware fake news detection on online social networks. 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

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MWITONDI, Kassim and ZARGARI, Shahrzad (2018). An iterative multiple sampling method for intrusion detection. Information Security Journal: A Global Perspective, 27 (4), 230-239.

ZARGARI, Shahrzad and SMITH, Anthony (2014). Policing as a service in the cloud. Information Security Journal : A Global Perspective, 23 (4-6), 148-158.

Book Section

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GHASHI, Hans, ZARGARI, Shahrzad and JALALI, Setareh (2024). Data hiding in anti-forensics – Exploit delivery through digital steganography. In: JAHANKHANI, Hamid, (ed.) Cybersecurity Challenges in the Age of AI, Space Communications and Cyborgs Proceedings of the 15th International Conference on Global Security, Safety and Sustainability, London, October 2023. Advanced Sciences and Technologies for Security Applications (ASTSA) . Cham, Springer.

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ATKINSON, S., CARR, G., SHAW, C. and ZARGARI, Shahrzad (2020). Drone Forensics: The Impact and Challenges. In: MONTASARI, Reza, JAHANKHANI, Hamid, HILL, Richard and PARKINSON, Simon, (eds.) Advanced Sciences and Technologies for Security Applications. Springer International Publishing, 65-124.

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POURNOURI, Sina, ZARGARI, Shahrzad and AKHGAR, Babak (2019). An Investigation of Using Classification Techniques in Prediction of Type of Targets in Cyber Attacks. In: 12th IEEE International Conference on Global Security, Safety and Sustainability, ICGS3 2019, London, UK, January 16-18, 2019. IEEE, 122-132.

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AJAO, O, BHOWMIK, Deepayan and ZARGARI, Shahrzad (2018). Content-aware tweet location inference using quadtree spatial partitioning and jaccard-cosine word embedding. In: ASONAM 2018 : Proceedings of the 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining. IEEE, 1116-1123.

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AJAO, Oluwaseun, BHOWMIK, Deepayan and ZARGARI, Shahrzad (2018). Fake news identification on Twitter with hybrid CNN and RNN models. In: SMSociety '18 Proceedings of the 9th International Conference on Social Media and Society. ACM International Conference Proceeding Series . ACM, 226-230.

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JANARTHANAN, Tharmini and ZARGARI, Shahrzad (2017). Feature Selection in UNSW-NB15 and KDDCUP’99 datasets. In: 2017 IEEE 26th International Symposium on Industrial Electronics (ISIE),. IEEE.

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MWITONDI, Kassim and ZARGARI, Shahrzad (2017). A Repeated Sampling and Clustering Method for Intrusion Detection. In: STAHLBOCK, Robert, ABOU-NASR, Mahmoud and WEISS, Gary M., (eds.) Proceedings of the 13th International Conference on Data Mining (DMIN '17). CSREA Press, 91-96.

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PALMIERI, Gareth and ZARGARI, Shahrzad (2017). Using open source forensic carving tools on split dd and EWF files. In: Proceedings, 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 379-383. (In Press)

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ABDULLAHI YARI, Imrana and ZARGARI, Shahrzad (2017). An overview and computer forensic challenges in image steganography. In: Proceedings, 2017 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData). IEEE, 360-364. (In Press)

ZARGARI, Shahrzad and JANARTHANAN, Tharmini (2015). The evidentiary value of link files in Linux file system to digital forensic investigation. In: WU, Yulei, MIN, Geyong, GEORGALIS, Nektarios, HU, Jia, ATZORI, Luigi, JIN, Xiaolong, JARVIS, Stephen, LIU, Lei and CALVO, Ramon Aguero, (eds.) Computer and Information Technology; Ubiquitous Computing and Communications; Dependable, Autonomic and Secure Computing; Pervasive Intelligence and Computing (CIT/IUCC/DASC/PICOM), 2015 IEEE International Conference on. IEEE Computer Society, 1984-1988.

ZARGARI, Shahrzad and SMITH, Anthony (2013). Policing as a service in the cloud. In: Emerging Intelligent Data and Web Technologies (EIDWT), 2013 Fourth International Conference on. IEEE, 589-596.

ZARGARI, Shahrzad and BENFORD, David (2012). Cloud forensics : concepts, issues, and challenges. In: Emerging Intelligent Data and Web Technologies (EIDWT), 2012 Third International Conference on. IEEE, 236-243.

Conference or Workshop Item

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MWITONDI, Kassim, SAID, R and ZARGARI, Shahrzad (2017). An Ensemble Method for Intrusion Detection with Conformity to Data Variability. In: 8th Annual International Conference on ICT : Big Data, Cloud and Security (ICT-BDCS 2017, Singapore, 21-22 August 2017. (Unpublished)

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ZARGARI, Shahrzad (2017). Feature Selection in the Corrected KDD -dataset. In: International Conference on Big Data in Cyber Security 2017, Cyber Academy, Edinburgh, 10 May 2017. (Unpublished)

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ZARGARI, Shahrzad (2016). Computer Forensics Community : A Case Study. In: 12th Annual Teaching Computer Forensics Workshop, Sunderland, UK., 17 November 2016. (Unpublished)

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ZARGARI, Shahrzad and BAGHERI ZADEH, Pooneh (2015). Enhancing student engagement in Digital Forensics. In: 11th Annual Teaching Computer Forensics Workshop, University of Sunderland, 14/11/2015.

This list was generated on Thu Apr 25 08:02:47 2024 UTC.