91(4), 32–35 (2014)īasit, A., Zafar, M., Javed, A.R., Jalil, Z.: A novel ensemble machine learning method to detect phishing attack.
Dooble web browser bit 64 portable#
Capital (2020)Īr, N.M., et al.: Forensic evidence collection by reconstruction of artifacts in portable web browser. IEEE (2021)Īl-Fannah, N.M., Mitchell, C.: Too little too late: can we control browser fingerprinting? J. In: 2021 11th IFIP International Conference on New Technologies, Mobility and Security (NTMS), pp. arXiv preprint arXiv:2105.12097Īhmed, W., Shahzad, F., Javed, A.R., Iqbal, F., Ali, L.: Whatsapp network forensics: discovering the IP addresses of suspects. 31, 100565 (2021)Īhmed, W., et al.: Security in next generation mobile payment systems: a comprehensive survey (2021). 29(3), 1–27 (2021)Īgrawal, S., Sarkar, S., Srivastava, G., Maddikunta, P.K.R., Gadekallu, T.R.: Genetically optimized prediction of remaining useful life. Appl 128(18), 19–24 (2015)Īfzal, S., Asim, M., Javed, A.R., Beg, M.O., Baker, T.: Urldeepdetect: a deep learning approach for detecting malicious URLs using semantic vector models. IEEE Access 9, 66408–66419 (2021)Īdautin, E.D., Ar, N.M.: Forensic reconstruction and analysis of residual artifacts from portable web browser. KeywordsĪbbasi, A., Javed, A.R., Chakraborty, C., Nebhen, J., Zehra, W., Jalil, Z.: Elstream: an ensemble learning approach for concept drift detection in dynamic social big data stream learning. From common browsers using private browsing facilities, even removing web browsers after committing criminal activities can also be identified by analyzing the registry, supporting factual evidence gathering in any Digital Forensic investigation. As a result, live forensics can become more relevant and dependable for collecting reasonable artifacts from private browsers. In this paper, a collection of research will be analyzed, that have been carried out to identify and collect artifacts of web browsers having secrecy features for examination, validation, and find out potential ways to use the collected information during active investigations. These features are great challenges and obstacles for forensic investigators. The increased demand for cybersecurity, including data privacy, secrecy, and anonymity, becomes the reason for enhanced privacy and anonymity in common web browsers and specialized web browsers to achieve such purposes. Web browsers are ubiquitous applications to access public and private applications over the Internet, Intranet, and Extranet.
0 kommentar(er)
