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14 results for “Spam”
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Research ArticleOpen accessEvery word in the titleA Content Filtering from Spam Posts on Social Media using Weighted Multimodal ApproachChastine Fatichah, Wildan F. Lazuardi, Dini A. Navastara et al.The system for filtering spam posts on social media is preferred to obtain the relevant content and expected by users. The previous works on spam detection have been done to filter irrelevant content on email and social media based on text or image separately. Due to the social media posts are commonly in the form of image, text, or both, … …Journal of Computer Science, Vol. 17, Issue 1 · 21 Jan 2021 · 7,904 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEmail Spam Classification Using Gated Recurrent Unit and Long Short-Term MemoryIqbal Basyar, Adiwijaya, Danang Triantoro MurdiansyahHigh numbers of spam emails have led to an increase in email triage, causing losses amounting to USD 355 million per year. One way to reduce this loss is to classify spam email into categories including fraud or promotions made by unwanted parties. The initial development of spam email classification was based on simple methods such as word filters. Now, … …Journal of Computer Science, Vol. 16, Issue 4 · 3 Apr 2020 · 8,323 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleFeatures Reweighting and Similarity Coefficient Based Method for Email Spam FilteringAli Ahmed, Ammar Ahmed E. Elhadi, Ahmed Osman Ali ElsiddigSpam is flooding the Internet with many copies of the same message, in an attempt to force the message on people who would not otherwise choose to receive it. Anti spam by determining whether or not an incoming email is spam has become an important problem. One of the main characters or the problem of Spam filtering is its high … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 13 Oct 2017 · 7,804 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA STUDY OF SPAM DETECTION ALGORITHM ON SOCIAL MEDIA NETWORKSSaini Jacob Soman, S. MurugappanIn today's world, the issue of identifying spammers has received increasing attention because of its practical relevance in the field of social network analysis. The growing popularity of social networking sites has made them prime targets for spammers. By allowing users to publicize and share their independently generated content, online social networks become susceptible to different types of malicious and … …Journal of Computer Science, Vol. 10, Issue 10 · 8 Jul 2014 · 6,756 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleCombined 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 PDFCite
Research ArticleOpen accessIn the keywordsComparative Study: Algorithms for Short Message Service ClassificationEvaristus Didik Madyatmadja, Aldi, Fiona Fheren et al.This research aims to classify Short Message Service (SMS) data by applying classification models that have studied SMS data to classify SMS data into SMS spam and SMS ham. The classification model is made from data mining algorithms: Naive Bayes and support vector machine. Before implementing the two algorithms, the SMS data will go through a text preprocessing stage, including … …Journal of Computer Science, Vol. 19, Issue 11 · 29 Sep 2023 · 4,992 accessesView PDFCite
Research ArticleOpen accessIn the keywordsOptimizing Title and Meta Tags Based on Distribution of Keywords; Lexical and Semantic ApproachesMohammad Farahmand, Abu Bakar M.D. Sultan, Masrah Azrifah Azmi Murad, Fatimah SidiProblem statement: To increase traffic on websites, Search Engine Optimization (SEO) has provided many costly and time-consuming options. One problem is the inadequate distribution of keywords especially those keywords that users use the title tag and Meta tags. Approach: This study described work on an initial model for handling some of the SEO factors to increase the distribution of keywords. … …Journal of Computer Science, Vol. 7, Issue 9 · 23 Jul 2011 · 7,894 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Novel Hybrid Machine and Deep Learning Model for Detecting Arabic Phishing EmailsFahad GhabbanPhishing emails are becoming an increasingly popular type of cybercrime on the internet, affecting both businesses and individuals. The attackers generally use various methods to trick victims and extract personal information from them, such as bank details, home addresses, and account information. Many attempts have been proposed to tackle this issue by using filtering mechanisms or automated classification methods which … …Journal of Computer Science, Vol. 22, Issue 1 · 9 Feb 2026 · 1,897 accessesView PDFCite
Research ArticleOpen accessIn the keywordsEffective Utilization of Multicore Processor for Unified Threat Management FunctionsSudhakar Gummadi, Radhakrishnan ShanmugasundaramProblem statement: Multicore and multithreaded CPUs have become the new approach for increase in the performance of the processor based systems. Numerous applications benefit from use of multiple cores. Unified threat management is one such application that has multiple functions to be implemented at high speeds. Increasing performance of the system by knowing the nature of the functionality and effective … …Journal of Computer Science, Vol. 8, Issue 1 · 29 Oct 2011 · 8,148 accessesView PDFCite
Research ArticleOpen accessIn the abstractCyber Security Threats and Countermeasures using Machine and Deep Learning Approaches: A SurveyManjula M, Venkatesh, Venugopal K. R.Recent advancements in e-business, e-healthcare, e-governance, and online digital transactions have brought valuable benefits. Unfortunately, it raises severe cyber-attacks. Cyberattacks disrupt normal operations, try to retrieve confidential information and defense secrets, and subvert the nation’s defense systems and Internet-connected devices. Cyber security solutions are required to detect, analyze, defend against threats and protect sensitive data from unauthorized access. This study … …Journal of Computer Science, Vol. 19, Issue 1 · 4 Jan 2023 · 9,370 accessesView PDFCite