16 results for “False Positive Rate”

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Research ArticleOpen accessIn the abstractDETECTING MULTIPLE INTRUSION ATTACKS USING PERMANENT GIRTH CLUSTERING MODEL IN WIRELESS SENSOR NETWORKG. Jayamurugan, P. KamalakkannanSecurity is the central challenge and one of the serious concerns for designing reliable sensor networks. Of the different types of security threats in wireless sensor network, particularly dangerous attack is the replica node attack, in which the opponent takes the secret keying materials from a compromised node. It then produces large number of attacker-controlled replicas that divide up the … …Journal of Computer Science, Vol. 10, Issue 8 · 1 Apr 2014 · 6,467 accessesView PDF Cite

Research ArticleOpen accessIn the abstractOBJECTIONABLE IMAGE DETECTION IN CLOUD COMPUTING PARADIGM-A REVIEWRashed Mustafa, Dingju ZhuObscenity detection from images and videos are now crucial due to social and ethical reasons. It has been two decades the research on this field started. Most of the works are based on skin color detection, which are not suitable for finding obscenity. The reason for this is that, there are many skins like objects such as beach photos, human … …Journal of Computer Science, Vol. 9, Issue 12 · 25 Nov 2013 · 6,972 accessesView PDF Cite

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 · 7,709 accessesView PDF Cite

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 · 7,226 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIncreasing the Reliability of Fuzzy Inference System-Based Skin DetectorAlaa Y. Taqa, Hamid A. JalabProblem statement: Skin detection is a common primitive for many human-related image processing applications, such as video surveillance, naked image filters and face detection. Skin color is considered as a useful and discriminating spatial feature for many applications, but it is not robust enough to deal with complex image environments. Skin tones range from dark (some Africans) to light white … …American Journal of Applied Sciences, Vol. 7, Issue 8 · 31 Aug 2010 · 7,138 accessesView PDF Cite

Research ArticleOpen accessIn the abstractIntelligent Sensor for Image Control Point of Eigenfaces for Face RecognitionMohamed Lamine Toure, Zou BeijiProblem statement: The sensor for image control point in Face Recognition (FR) is one of the most active research areas in computer vision and pattern recognition. Its practical application includes forensic identification, access control and human computer interface. The task of a FR system is to compare an input face image against a database containing a set of face samples … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,974 accessesView PDF Cite