A State of Art Survey for Understanding Malware Detection Approaches in Android Operating System
Asian Journal of Research in Computer Science,
Page 44-60
DOI:
10.9734/ajrcos/2021/v11i330266
Abstract
Mobile malware is malicious software that targets mobile phones or wireless-enabled Personal digital assistants (PDA), by causing the collapse of the system and loss or leakage of confidential information. As wireless phones and PDA networks have become more and more common and have grown in complexity, it has become increasingly difficult to ensure their safety and security against electronic attacks in the form of viruses or other malware. Android is now the world's most popular OS. More and more malware assaults are taking place in Android applications. Many security detection techniques based on Android Apps are now available. Android applications are developing rapidly across the mobile ecosystem, but Android malware is also emerging in an endless stream. Many researchers have studied the problem of Android malware detection and have put forward theories and methods from different perspectives. Existing research suggests that machine learning is an effective and promising way to detect Android malware. Notwithstanding, there exist reviews that have surveyed different issues related to Android malware detection based on machine learning. The open environmental feature of the Android environment has given Android an extensive appeal in recent years. The growing number of mobile devices, they are incorporated in many aspects of our everyday lives. In today’s digital world most of the anti-malware tools are signature based which is ineffective to detect advanced unknown malware viz. Android OS, which is the most prevalent operating system (OS), has enjoyed immense popularity for smart phones over the past few years. Seizing this opportunity, cybercrime will occur in the form of piracy and malware. Traditional detection does not suffice to combat newly created advanced malware. So, there is a need for smart malware detection systems to reduce malicious activities risk. The present paper includes a thorough comparison that summarizes and analyses the various detection techniques.
Keywords:
- Malware
- detection
- operating system
- android
- viruses
How to Cite
Hamdi, S. J., Omar, N., AL-zebari, A., Merceedi, K. J., Ahmed, A. J., Salim, N. O. M., Hasan, S. S., Kak, S. F., Ibrahim, I. M., Yasin, H. M., & Salih, A. A. (2021). A State of Art Survey for Understanding Malware Detection Approaches in Android Operating System. Asian Journal of Research in Computer Science, 11(3), 44-60. https://doi.org/10.9734/ajrcos/2021/v11i330266
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Zeebaree A, Adel A, Jacksi K, Selamat A. Designing an ontology of E-learning system for duhok polytechnic university using protégé OWL tool," J Adv Res Dyn Control Syst. 2019;11:24-37.
Kareem FQ, Zeebaree SR, Dino HI, Sadeeq MA, Rashid ZN, Hasan DA, et al. A survey of optical fiber communications: challenges and processing time influences, Asian Journal of Research in Computer Science. 2021;48-58.
Adel AZ, Zebari S, Jacksi K. Football Ontology Construction using Oriented Programming," Journal of Applied Science and Technology Trends. 2020;1:24-30.
SA AZ, Selamat A. Electronic Learning Management System Based on Semantic Web Technology: A Review, Int. J. Adv. Electron. Comput. Sci. 2017;4:1-6.
Abdullah SMSA, Ameen SYA, Sadeeq MA, Zeebaree S. Multimodal emotion recognition using deep learning," Journal of Applied Science and Technology Trends. 2021;2:52-58.
Abdullah RM, Abdulazeez AM, Al-Zebari A."Machine learning Algorithm of Intrusion Detection System," Asian Journal of Research in Computer Science. 2021;1-12.
Shukur H, Zeebaree SR, Ahmed AJ, Zebari RR, Ahmed O, Tahir BSA, et al. A state of art survey for concurrent computation and clustering of parallel computing for distributed systems," Journal of Applied Science and Technology Trends. 2020;1:148-154.
Tahir B, Ali Saktioto J, Fadhali M, Rahman R, Ahmed A. A study of FBG sensor and electrical strain gauge for strain measurements," Journal of optoelectronics and advanced materials. 2008;10:2564-2568.
Harki N, Ahmed A, Haji L. CPU scheduling techniques: A review on novel approaches strategy and performance assessment," Journal of Applied Science and Technology Trends. 2020;1:48-55.
Ahmed A, Ahmed O. Correlation pattern among morphological and biochemical traits in relation to tillering capacity in sugarcane (Saccharum Spp)," Acad J Plant Sci. 2012;5:119-122.
Ahmed AJ, Mohammed FH, Majedkan NA. An Evaluation Study of an E-Learning Course at the Duhok Polytechnic University: A Case Study," Journal of Cases on Information Technology (JCIT). 2022;24:1-11.
Ahmed O, Geraldes R, Ahmed A, DeLuca G, Palace J. Multiple sclerosis and the risk of venous thrombosis: a systematic review," in Multiple Sclerosis Journal. 2017;757-758.
Salim NO, Abdulazeez AM. Human diseases detection based on machine learning algorithms: A review," International Journal of Science and Business. 2021;5:102-113.
Salim NO, Zeebaree SR, Sadeeq MA, Radie A, Shukur HM, Rashid ZN. Study for Food Recognition System Using Deep Learning, in Journal of Physics: Conference Series. 2021; 012014.
Salim NO, Abdulazeez AM. Science and Business," International Journal. 2021;5: 102-113.
Eesa AS, Sadiq S, Hassan M, Orman Z. Rule generation based on modified cuttlefish algorithm for intrusion detection system," Uludağ University Journal of The Faculty of Engineering. 2021;26: 253-268.
Zebari DA, Haron H, Zeebaree SR, Zeebaree DQ. Multi-Level of DNA Encryption Technique Based on DNA Arithmetic and Biological Operations, in 2018 International Conference on Advanced Science and Engineering (ICOASE). 2018;312-317.
Eesa AS. Optimization Algorithms for Intrusion Detection System: A Review," International Journal of Research-Granthaalayah. 2020;8:217-225.
Sadeeq MA, Zeebaree S. Energy management for internet of things via distributed systems," Journal of Applied Science and Technology Trends. 2021;2:59-71.
Haji SH, Zeebaree SR, Saeed RH, Ameen SY, Shukur HM, Omar N, et al. Comparison of software defined networking with traditional networking," Asian Journal of Research in Computer Science. 2021;1-18.
Zebari S, Yaseen NO. Effects of parallel processing implementation on balanced load-division depending on distributed memory systems," J. Univ. Anbar Pure Sci. 2011;5:50-56.
Malallah H, Zeebaree SR, Zebari RR, Sadeeq MA, Ageed ZS, Ibrahim IM, et al. A comprehensive study of kernel (issues and concepts) in different operating systems," Asian Journal of Research in Computer Science. 2021;16-31.
Yasin HM, Zeebaree SR, Sadeeq MA, Ameen SY, Ibrahim IM, Zebari RR, et al. IoT and ICT based smart water management, monitoring and controlling system: A review," Asian Journal of Research in Computer Science. 2021;42-56.
Omer MA, Zeebaree SR, Sadeeq MA, Salim BW, Mohsin SX, Rashid ZN, et al. Efficiency of malware detection in android system: A survey," Asian Journal of Research in Computer Science. 2021;59-69.
Zeebaree SR, Sallow AB, Hussan BK, Ali SM. Design and simulation of high-speed parallel/sequential simplified DES code breaking based on FPGA," in 2019 International Conference on Advanced Science and Engineering (ICOASE). 2019;76-81.
Zebari IM, Zeebaree SR, Yasin HM. Real time video streaming from multi-source using client-server for video distribution," in 2019 4th Scientific International Conference Najaf (SICN). 2019; 109-114.
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Sharma S, Krishna CR, Sahay SK. Detection of advanced malware by machine learning techniques," in Soft computing: Theories and applications, ed: Springer. 2019;333-342.
Ibrahim BR, Zeebaree SR, Hussan BK. Performance Measurement for Distributed Systems using 2TA and 3TA based on OPNET Principles," Science Journal of University of Zakho. 2019;7:65-69.
Maulud DH, Zeebaree SR, Jacksi K, Sadeeq MAM, Sharif KH. State of art for semantic analysis of natural language processing," Qubahan Academic Journal. 2021;1:21-28.
Yuan H, Sun W. Android Application Security Detection Method Based on Metropolis Algorithm," in 2019 IEEE 19th International Conference on Communication Technology (ICCT). 2019; 1280-1284.
Zeebaree S, Yasin HM. Arduino based remote controlling for home: power saving, security and protection," International Journal of Scientific & Engineering Research. 2014;5:266-272.
Zeebaree S, Zebari I. "Multilevel client/server peer-to-peer video broadcasting system, International Journal of Scientific & Engineering Research. 2014;5:260-265.
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Sadeeq MM, Abdulkareem NM, Zeebaree SR, Ahmed DM, Sami AS, Zebari RR. IoT and Cloud computing issues, challenges and opportunities: A review," Qubahan Academic Journal. 2021;1: 1-7, 2021.
Zeebaree S, Zebari RR, Jacksi K, Hasan DA. "Security approaches for integrated enterprise systems performance: A Review," Int. J. Sci. Technol. Res. 2019;8.
Hasan DA, Hussan BK, Zeebaree SR, Ahmed DM, Kareem OS, Sadeeq MA. The impact of test case generation methods on the software performance: A review," International Journal of Science and Business. 2021;5:33-44.
Jader OH, Zeebaree S, Zebari RR. A state of art survey for web server performance measurement and load balancing mechanisms," International Journal of Scientific & Technology Research. 2019;8:535-543.
Jacksi K, Ibrahim RK, Zeebaree SR, Zebari RR, Sadeeq MA. Clustering documents based on semantic similarity using HAC and K-mean algorithms," in 2020 International Conference on Advanced Science and Engineering (ICOASE). 2020;205-210.
Sadeeq MA, Abdulazeez AM. Neural networks architectures design, and applications: A review," in 2020 International Conference on Advanced Science and Engineering (ICOASE). 2020;199-204.
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Ageed ZS, Ibrahim RK, Sadeeq M. Unified ontology implementation of cloud computing for distributed systems," Current Journal of Applied Science and Technology. 2020;82-97.
Zeebaree S, Ameen S, Sadeeq M. Social media networks security threats, risks and recommendation: A case study in the kurdistan region," International Journal of Innovation, Creativity and Change. 2020;13:349-365.
Sulaiman MA, Sadeeq M, Abdulraheem AS, Abdulla AI. Analyzation study for gamification examination fields," Technol. Rep. Kansai Univ. 2020;62:2319-2328.
Yasin HM, Zeebaree SR, Zebari IM. Arduino based automatic irrigation system: Monitoring and SMS controlling," in 2019 4th Scientific International Conference Najaf (SICN). 2019;109-114.
Sadeeq M, Abdulla AI, Abdulraheem AS, Ageed ZS. Impact of electronic commerce on enterprise business," Technol. Rep. Kansai Univ. 2020;62:2365-2378.
Alzakholi O, Shukur H, Zebari R, Abas S, Sadeeq M. Comparison among cloud technologies and cloud performance," Journal of Applied Science and Technology Trends. 2020;1:40-47.
Zeebaree S, Zebari RR, Jacksi K. Performance analysis of IIS10. 0 and Apache2 Cluster-based Web Servers under SYN DDoS Attack," TEST Engineering & Management. 2020;83:5854-5863.
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Sallow A, Zeebaree S, Zebari R, Mahmood M, Abdulrazzaq M, Sadeeq M. Vaccine tracker, SMS reminder system: Design and implementation; 2020.
Sadeeq MA, Zeebaree SR, Qashi R, Ahmed SH, Jacksi K. Internet of Things security: A survey," in 2018 International Conference on Advanced Science and Engineering (ICOASE). 2018;162-166.
Abdulazeez AM, Zeebaree SR, Sadeeq MA. Design and implementation of electronic student affairs system," Academic Journal of Nawroz University. 2018;7:66-73.
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