Author

Mohammed Anbar

Universiti Sains Malaysia, Malaysia

4 articles in our journals

Articles where this person is an author, newest first. People are matched by their name as printed (no ORCID iD is recorded for them), not by name alone; search the name as text to find namesakes too.

Research NotesOpen accessA Proposed Framework for Outsourcing and Secure Encrypted Data on OpenStack Object Storage (Swift)Hala Albaroodi, Selvakumar Manickam, Mohammed AnbarDespite the numerous potential benefits of Open Source Cloud Computing (OSCC) in several industrial and academic-oriented environments, OSCC could be also associated with some risks. However, which a proper awareness to the cloud consumers or organisations, these risks can be clearly identify and avoided. OpenStack Swift security can provide a greater understanding of how OpenStack Swift functions and what types … …Journal of Computer Science, Vol. 11, Issue 3 · 14 May 2015 · 7,008 accessesView PDF Cite

Research ArticleOpen accessA REVIEW OF PEER-TO-PEER BOTNET DETECTION TECHNIQUESMohammed Jamil Elhalabi, Selvakumar Manickam, Loai Bani Melhim et al.In recent years, Peer-to-Peer technology has an extensive use. Botnets have exploited this technology efficiently and introduced the P2P botnet, which uses P2P network for remote control of its bots and become one of the most significant threats to computer networks. They are used to make DDOS attacks, generate spam, click fraud and steal sensitive information. Compared with traditional botnets, … …Journal of Computer Science, Vol. 10, Issue 1 · 13 Nov 2013 · 7,597 accessesView PDF Cite

Research ArticleOpen accessEvolving Fuzzy Neural Network for Phishing Emails DetectionAmmar ALmomani, Tat-Chee Wan, Altyeb Altaher et al.One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been trained on old dataset, not included in black list. Accordingly, the current paper seeks to Detection and Prediction of unknown “zero-day” phishing Emails by provide a new … …Journal of Computer Science, Vol. 8, Issue 7 · 4 Jun 2012 · 8,007 accessesView PDF Cite

Research ArticleOpen accessBehaviour Based Worm Detection and Signature AutomationMohammed Anbar, Selvakumar Manickam, Al-Samarraie Hosam et al.Problem statement: A worm is a malicious piece of code that self-propagates, often via network connections, to exploit security flaws in computers connected through the network. In general, worms do not need any human intervention to propagate and are considered a real threat to network assets and the properties of organizations. An Intrusion Detection Systems (IDSs) are employed to detect … …Journal of Computer Science, Vol. 7, Issue 11 · 6 Sep 2011 · 6,899 accessesView PDF Cite