7 results for “Sureswaran Ramadass”

Research ArticleOpen accessIn the author namesResearch Proposal: An Intrusion Detection System Alert Reduction and Assessment Framework Based on Data MiningKarim Al-Saedi, Selvakumar Manickam, Sureswaran Ramadass et al.The Intrusion Detection System (IDS) generates huge amounts of alerts that are mostly false positives. The abundance of false positive alerts makes it difficult for the security analyst to identify successful attacks and to take remedial actions. Such alerts to have not been classified in accordance with their degree of threats. They further need to be processed to ascertain the … …Journal of Computer Science, Vol. 9, Issue 4 · 8 May 2013 · 7,709 accessesView PDF Cite

Research ArticleOpen accessIn the author namesEvolving 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 · 8,005 accessesView PDF Cite

Research ArticleOpen accessIn the author namesApplication of Adaptive Neuro-Fuzzy Inference System for Information SecuirtyAltyeb Altaher, Ammar Almomani, Sureswaran RamadassProblem statement: Computer networks are expanding at very fast rate and the number of network users is increasing day by day, for full utilization of networks it need to be secured against many threats including malware, which is harmful software with the capability to damage data and systems. Fuzzy rule based classification systems considered as an active research area in … …Journal of Computer Science, Vol. 8, Issue 6 · 23 Apr 2012 · 7,747 accessesView PDF Cite

Research ArticleOpen accessIn the author namesStatistical Analysis and Learning Method on Users' FeedbacksDoris Hooi-Ten Wong, Sureswaran RamadassProblem statement: The purpose of this study was constructing an effective algorithm in order to learn the users’ feedbacks from their displayed visualization. This is due to existing visualization tools typically involve presenting network data regardless of considering level of network data knowledge among different levels of computer users. The machine learning algorithm has been applied in order to find … …Journal of Computer Science, Vol. 7, Issue 9 · 26 Jul 2011 · 6,525 accessesView PDF Cite

Research ArticleOpen accessIn the author namesThe Public User's Role in Breast Self-Examination Teleconsultation System Development: Modified User-Created Content ApproachNorayu A. Talib, Nasriah Zakaria, Sureswaran Ramadass, Faten DamanhooriProblem statement: Teleconsultation services had been introduced in Malaysia for almost 10 years yet it has not been optimally adopted even though it was found that teleconsultation in Malaysia is cost saving, efficient in allocating resources, enhances diagnostic options and better health outcomes. At present, the underutilized service is due to its failure to satisfy the user’s demands on various … …Journal of Computer Science, Vol. 7, Issue 8 · 16 Jul 2011 · 6,384 accessesView PDF Cite

Research ArticleOpen accessIn the author namesDelay Analysis and System Capacity Control for Mobile WiMAX Relay NetworksAnas F. Bayan, Tat-Chee Wan, Sureswaran RamadassProblem statement: WiMAX relay is an emerging cost effective wireless last mile solution for rural and urban broadband Internet access. Approach: One of the key concerns of WiMAX operators is how many users they can support for an access area where the number of users and the amount of data that can be delivered to the end user depends on … …Journal of Computer Science, Vol. 6, Issue 10 · 5 Aug 2010 · 7,428 accessesView PDF Cite