Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Shukor Razak"'
Anomaly-Based Intrusion Detection Systems in IoT Using Deep Learning: A Systematic Literature Review
Autor:
Muaadh A. Alsoufi, Shukor Razak, Maheyzah Md Siraj, Ibtehal Nafea, Fuad A. Ghaleb, Faisal Saeed, Maged Nasser
Publikováno v:
Applied Sciences, Vol 11, Iss 18, p 8383 (2021)
The Internet of Things (IoT) concept has emerged to improve people’s lives by providing a wide range of smart and connected devices and applications in several domains, such as green IoT-based agriculture, smart farming, smart homes, smart transpor
Externí odkaz:
https://doaj.org/article/092f990f30a44ee8a8cf4249612f8520
Autor:
Arafat Al-Dhaqm, Shukor Razak, Siti Hajar Othman, Kim-Kwang Raymond Choo, William Bradley Glisson, Abdulalem Ali, Mohammad Abrar
Publikováno v:
IEEE Access, Vol 5, Pp 24401-24416 (2017)
Database forensics is a domain that uses database content and metadata to reveal malicious activities on database systems in an Internet of Things environment. Although the concept of database forensics has been around for a while, the investigation
Externí odkaz:
https://doaj.org/article/7255382a7f694d6a82f8b8bbc93e227b
Publikováno v:
Infrastructures, Vol 6, Iss 2, p 13 (2021)
Using a face validity approach, this paper provides a validation of the Database Forensic Investigation Metamodel (DBFIM). The DBFIM was developed to solve interoperability, heterogeneity, complexity, and ambiguity in the database forensic investigat
Externí odkaz:
https://doaj.org/article/49a0e1a84daf4c24bad4f4576435c144
Autor:
Arafat Al-Dhaqm, Shukor Razak, Siti Hajar Othman, Asri Ngadi, Mohammed Nazir Ahmed, Abdulalem Ali Mohammed
Publikováno v:
PLoS ONE, Vol 12, Iss 2, p e0170793 (2017)
Database Forensics (DBF) is a widespread area of knowledge. It has many complex features and is well known amongst database investigators and practitioners. Several models and frameworks have been created specifically to allow knowledge-sharing and e
Externí odkaz:
https://doaj.org/article/66d4f516092d443fa495b8e73f35f97f
Publikováno v:
Electronics, Vol 10, Iss 1519, p 1519 (2021)
The emergence of unmanned aerial vehicles (also referred to as drones) has transformed the digital landscape of surveillance and supply chain logistics, especially in terrains where such was previously deemed unattainable. Moreover, the adoption of d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::867146a3d7f2636cc5943a71c8291b07
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85971
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-85971
Autor:
Otoum, Yazan1 (AUTHOR) Yazan.Otoum@uottawa.ca, Gottimukkala, Navya2 (AUTHOR) ngott046@uottawa.ca, Kumar, Neeraj3 (AUTHOR) neeraj.kumar@thapar.edu, Nayak, Amiya4 (AUTHOR) amiya.nayak@uottawa.ca
Publikováno v:
ACM Computing Surveys. Aug2024, Vol. 56 Issue 8, p1-36. 36p.
Publikováno v:
FUPRE Journal of Scientific & Industrial Research; 2024, Vol. 8 Issue 4, p352-372, 21p
Autor:
Al-dhaqm, Arafat1,2 arafataldoqm@gmail.com, Razak, Shukor1, Othman, Siti Hajar1, Ngadi, Asri1, Ahmed, Mohammed Nazir1, Ali Mohammed, Abdulalem1
Publikováno v:
PLoS ONE. 2/1/2017, Vol. 12 Issue 2, p1-34. 34p.
Autor:
Alsoufi, Muaadh A., Razak, Shukor, Siraj, Maheyzah Md, Nafea, Ibtehal, Ghaleb, Fuad A., Saeed, Faisal, Nasser, Maged
Publikováno v:
Applied Sciences (2076-3417); Sep2021, Vol. 11 Issue 18, p8383, 24p
Autor:
Alsoufi, Muaadh A., Razak, Shukor, Siraj, Maheyzah Md, Al-rimy, Bander A., Ali, Abdulalem, Nasser, Maged, Abdo, Salah
Publikováno v:
Advances in Data Science & Adaptive Analysis; Jul-Oct2021, Vol. 13 Issue 3/4, p1-21, 21p