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140 results for “cyber”
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Research ArticleOpen accessIn the abstractMachine Learning-Based Technique to Detect SQL Injection AttackMuhammad Amirulluqman Azman, Mohd Fadzli Marhusin, Rossilawati SulaimanLack of secure codes implemented in the web apps will lead to cyber-attack because of vulnerabilities. The statistic shows that highest record on the data theft related cyber-attacks are through the SQL injection technique. Hence, an effective SQL injection detection is needed in any web system to combat this threat. In this research, machine learning technique is used where training … …Journal of Computer Science, Vol. 17, Issue 3 · 27 Mar 2021 · 8,535 accessesView PDFCite
Review ArticleOpen accessIn the abstractToward an Online DoS/DDoS Classification: An Empirical Study for Network Intrusion Detection SystemsTran Hoang Hai, Nguyen Trong Khiem, Nguyen Huu PhucIn recent years, Distributed Denial of Services (DDoS) attacks have caused significant losses to industry and government due to an increasing number of devices connected to the Internet. These devices use services-over-Internet more frequently with services characterized and provided seamlessly by 5G, Cloud and Edge Computing. According to Cisco Annual Internet Report, the frequency of DoS/DDoS attacks has increased more … …Journal of Computer Science, Vol. 17, Issue 3 · 30 Mar 2021 · 6,972 accessesView PDFCite
Research ArticleOpen accessIn the abstractRule-Based Approach to Detect IoT Malicious FilesFaisal Alsattam, Mousa Al-Akhras, Marwah M. Almasri, Mohammed AlawairdhiThe current immersive increase of cyber-attacks requires constant evolution of the used security solutions. Current malware detection solutions are only able to identify known malwares that were previously detected. They also lack the ability to deeply investigate every file in the system. Therefore, new detection techniques are needed to fill this gab. In this study, a flexible and an effective … …Journal of Computer Science, Vol. 16, Issue 9 · 15 Oct 2020 · 7,345 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Investigation into Information Security Threats from Insiders and how to Mitigate them: A Case Study of Zambian Public SectorMelissa K. Chinyemba, Jackson PhiriInsider attacks are security breaches posed by an existing or former organizational stakeholder with unrestricted access rights to the resources who, with or without intent, compromises the confidentiality, integrity and availability of organizational data. Zambian public organizations are vulnerable to insider attacks due to a number of factors that include; technology complexity, understaffing, financial gains, lack of security policies and … …Journal of Computer Science, Vol. 14, Issue 10 · 29 Oct 2018 · 8,249 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point DetectionMouhammd AlkasassbehIn recent years, computer networks have become more and more advanced in terms of size, applications, complexity and level of heterogeneity. Moreover, availability and performance are important issues for end users. New types of cyber-attacks that can affect and damage network performance and availability are constantly emerging and some threats, such as Distributed Denial of Service (DDoS) attacks, can be … …Journal of Computer Science, Vol. 14, Issue 2 · 3 Jan 2018 · 8,404 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn the Front Lines: Educating Teachers about Bullying and Prevention MethodsAviva Twersky GlasnerProblem statement: Bullying is a serious problem in American schools and is characterized by aggressive behavior distinguished by unequal power and the intention to cause physical, social, or emotional harm to others Bullying is evolving from the classic image of a big schoolyard bully picking on smaller kids to a more technologically, sophisticated model of kids using cyber technology to … …Journal of Social Sciences, Vol. 6, Issue 4 · 23 Oct 2010 · 9,281 accessesView PDFCite
Review ArticleOpen accessIn the abstractSurvey on Representation Techniques for Malware Detection SystemGamal Abdel Nassir Mohamed, Norafida Bte IthninMalicious programs are malignant software’s designed by hackers or cyber offenders with a harmful intent to disrupt computer operation. In various researches, we found that the balance between designing an accurate architecture that can detect the malware and track several advanced techniques that malware creators apply to get variants of malware are always a difficult line. Hence the study of … …American Journal of Applied Sciences, Vol. 14, Issue 11 · 10 Jul 2017 · 8,582 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Survey of Anomaly Detection Using Data Mining Methods for Hypertext Transfer Protocol Web ServicesMohsen Kakavand, Norwati Mustapha, Aida Mustapha et al.In contrast to traditional Intrusion Detection Systems (IDSs), data mining anomaly detection methods/techniques has been widely used in the domain of network traffic data for intrusion detection and cyber threat. Data mining is widely recognized as popular and important intelligent and automatic tools to assist humans in big data security analysis and anomaly detection over IDSs. In this study we … …Journal of Computer Science, Vol. 11, Issue 1 · 22 Jan 2015 · 9,252 accessesView PDFCite
Research ArticleOpen accessIn the abstractFROM DATA MINING AND KNOWLEDGE DISCOVERY TO BIG DATA ANALYTICS AND KNOWLEDGE EXTRACTION FOR APPLICATIONS IN SCIENCESubana Shanmuganathan"Data mining" for "knowledge discovery in databases" and associated computational operations first introduced in the mid-1990 s can no longer cope with the analytical issues relating to the so-called "big data". The recent buzzword big data refers to large volumes of diverse, dynamic, complex, longitudinal and/or distributed data generated from instruments, sensors, Internet transactions, email, video, click streams, noisy, structured/unstructured … …Journal of Computer Science, Vol. 10, Issue 12 · 20 Jan 2015 · 8,740 accessesView PDFCite