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8 articles for “Malware detection”
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Research ArticleOpen accessPhrase in the titlePreliminary Analysis of Malware Detection in Opcode Sequences within IoT EnvironmentFiras Shihab Ahmed, Norwati Mustapha, Aida Mustapha et al.With the technological development and means of communication, the Internet of Things (IoT) has become an essential role in providing many services in daily life through millions of heterogeneous but interconnected devices and nodes. This development is opening to many security and privacy challenges that can cause complete network breakdown, bypassed access control or the loss of critical data. This … …Journal of Computer Science, Vol. 16, Issue 9 · 5 Oct 2020 · 7,356 accessesView PDFCite
Review ArticleOpen accessPhrase in the titleSurvey 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 accessPhrase in the titleMalware 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 · 9,144 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleConcordance and Term Frequency in Analyzing API Calls for Malware Behavior DetectionNur Hilda Amira Abd Wahab, Masnizah Mohd, Ravie Chandren Muniyandi et al.Application Programming Interface (API) is used for the software to interact with an operating system to do certain task such as opening file, deleting file and many more. Programmers use this API to make it easier for their program to communicate with the operating system without having the knowledge of the hardware of the target system. Malware author is an … …Journal of Computer Science, Vol. 15, Issue 9 · 25 Sep 2019 · 7,784 accessesView PDFCite
Research ArticleOpen accessIn the keywordsApplication 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 PDFCite
Research ArticleOpen accessIn the abstractAn Intrusion Detection System Using Optimized Deep Learning for IoT NetworksChempavathy B., Mouleeswaran S. K.In the rapidly evolving landscape of Internet of Things (IoT) networks, assuring security is paramount. Cyber-attacks on IoT networks are evolving in complexity and scale. Intruders employ diverse tactics, including malware, Denial of Service (DoS) attacks, along with unauthorized access. This research aims to propose an optimized Deep Learning (DL) based Intrusion Detection System (IDS) to bolster security within IoT … …Journal of Computer Science, Vol. 21, Issue 8 · 9 Oct 2025 · 2,993 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
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