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20 results for “False Positives”
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Research ArticleOpen accessIn the abstractImproved Dynamic Threshold Method for Skin Colour Detection Using Multi-Colour SpaceMohd Zamri Osman, Mohd Aizaini Maarof, Mohd Foad RohaniThis paper presents a skin colour detection based on an improved dynamic threshold method to reduce false skin detection. Current fixed threshold skin detection fails in certain situations such as misclassification between non skin-like with similar skin-like colour. Any true skin may falsely be detected as non-skin. Research work introduces high-level skin detection strategy based on online sampling where offline … …American Journal of Applied Sciences, Vol. 13, Issue 2 · 19 Dec 2015 · 7,943 accessesView PDFCite
Technical ReportOpen accessIn the abstractAnalysis of Low Probability of Intercept Radar Signals Using the Reassignment MethodDaniel L. Stevens, Stephanie A. SchuckersDigital intercept receivers are currently moving towards classical time-frequency analysis techniques for analyzing low probability of intercept radar signals. Although these techniques are an improvement over existing Fourier-based techniques, they still suffer from a lack of readability, due to poor time-frequency localization and cross-term interference, which may lead to inaccurate detection and parameter extraction. In this study, the reassignment method, … …American Journal of Engineering and Applied Sciences, Vol. 8, Issue 1 · 25 Mar 2015 · 7,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch 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 · 7,712 accessesView PDFCite
Research ArticleOpen accessIn the abstractMalware Detection Based on Hybrid Signature Behaviour Application Programming Interface Call GraphAmmar Ahmed E. Elhadi, Mohd Aizaini Maarof, Ahmed Hamza OsmanProblem statement: A malware is a program that has malicious intent. Nowadays, malware authors apply several sophisticated techniques such as packing and obfuscation to avoid malware detection. That makes zero-day attacks and false positives the most challenging problems in the malware detection field. Approach: In this study, the static and dynamic analysis techniques that are used in malware detection are … …American Journal of Applied Sciences, Vol. 9, Issue 3 · 9 Jan 2012 · 9,150 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystem of One to Three Umpire Security System for Wireless Mobile Ad hoc NetworkC. Rajabhushanam, A. KathirvelProblem statement: A Mobile Ad Hoc Network (MANET) is a self-created self-organized and self-administering set of nodes connected via wireless links without the aid of any fixed infrastructure or centralized administrator. Protecting the network layer from malicious attacks is an important and challenging issue in both wired and wireless networks and the issue becomes even more challenging in the case … …Journal of Computer Science, Vol. 7, Issue 12 · 19 Oct 2011 · 7,244 accessesView PDFCite
Research ArticleOpen accessIn the abstractCombined Heuristic Technique for Optimization of Bloom Filter in Spam FilteringArulanand Natarajan, S. Subramanian, K. PremalathaProblem statement: Spam is an irrelevant or inappropriate message sent on the internet to a large number of newsgroups or users. A spam word is a list of well-known words that often appear in spam mails. Bloom Filter (BF) is used for identification of spam word. Approach: BF is a simple but powerful data structure that can check membership to … …Journal of Computer Science, Vol. 7, Issue 9 · 27 Jul 2011 · 7,230 accessesView PDFCite
Research ArticleOpen accessIn the abstractHandling Web and Database Requests Using Fuzzy Rules for Anomaly Intrusion DetectionSelvamani Kadirvelu, Kannan ArputharajProblem statement: It is necessary to propose suitable detection and prevention mechanisms to provide security for the information contents used by the web application. Many prevention mechanisms which are currently available are not able to classify anomalous, random and normal request. This leads to the problem of false positives which is classifying a normal request as anomalous and denying access … …Journal of Computer Science, Vol. 7, Issue 2 · 25 Feb 2011 · 7,307 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Intrusion Detection System for Wireless Body Area Network in Health Care MonitoringT. V.P. Sundararajan, A. ShanmugamProblem statement: Health monitoring, telemedicine, military, interactive entertainment and portable audio/video systems were most promising applications where WBANs can be used. However, designers of such systems face a number of challenging tasks, as they need to address often quite conflicting requirements for size, operating time, precision and reliability. Network security is very important in Wireless Body Area Network (WBAN) since … …Journal of Computer Science, Vol. 6, Issue 11 · 26 Oct 2010 · 6,709 accessesView PDFCite
Research ArticleOpen accessIn the abstractSkin Color Detection Model Using Neural Networks and its Performance EvaluationK. K. Bhoyar, O. G. KakdeProblem statement: Skin color detection is used as a preliminary step in numerous computer vision applications like face detection, nudity recognition, hand gesture detection and person identification. In this study we present a pixel based skin color classification approach, for detecting skin pixels and non skin pixels in color images, using a novel neural network symmetric classifier. The neural classifiers … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 8,064 accessesView PDFCite
Research ArticleOpen accessIn the abstractHow (Un)biased are Airport Security Screening Procedures? A Social-Cognitive ExperimentPoornima Madhavan, Jeremy R. BrownProblem statement: This research examined the role that social-cognitive biases such as gender biases and racial biases play in decision making processes during the screening of carry-on luggage at airports. This research is unique in that no research so far has addressed the social-psychological underpinnings of airport security screening procedures. Approach: Participants (n = 36) performed a computer simulated task … …Current Research in Psychology, Vol. 1, Issue 1 · 30 Jun 2010 · 8,013 accessesView PDFCite