Towards a systematic description of the field using bibliometric analysis: malware evolution.
作者： Mohd Nizam Mohmad Kahar , Salwana Mohamad , Ahmad Firdaus , Mohd Faizal Ab Razak , Sharfah Ratibah Tuan Mat
DOI: 10.1007/S11192-020-03834-6
关键词:
摘要: … The total publications for Computer Science involving Android malware issues emerged from the evolution of device technology. Here, it was observed that the total publications from …
springer.com
scilit.net参考文章(128)
Ali Feizollah, Shahaboddin Shamshirband, Nor Badrul Anuar, Rosli Salleh, Miss Laiha Mat Kiah, Anomaly Detection Using Cooperative Fuzzy Logic Controller FIRA RoboWorld Congress. pp. 220- 231 ,(2013) , 10.1007/978-3-642-40409-2_19
Borja Sanz, Igor Santos, Carlos Laorden, Xabier Ugarte-Pedrero, Pablo Garcia Bringas, Gonzalo Álvarez, PUMA: Permission Usage to Detect Malware in Android CISIS/ICEUTE/SOCO Special Sessions. pp. 289- 298 ,(2013) , 10.1007/978-3-642-33018-6_30
Chao Yang, Zhaoyan Xu, Guofei Gu, Vinod Yegneswaran, Phillip Porras, DroidMiner: Automated Mining and Characterization of Fine-grained Malicious Behaviors in Android Applications european symposium on research in computer security. pp. 163- 182 ,(2014) , 10.1007/978-3-319-11203-9_10
Ole Ellegaard, Johan A. Wallin, The bibliometric analysis of scholarly production: How great is the impact? Scientometrics. ,vol. 105, pp. 1809- 1831 ,(2015) , 10.1007/S11192-015-1645-Z
Daesung Moon, Sung Bum Pan, Ikkyun Kim, Host-based intrusion detection system for secure human-centric computing The Journal of Supercomputing. ,vol. 72, pp. 2520- 2536 ,(2016) , 10.1007/S11227-015-1506-9
Yanping Zhang, Yang Xiao, Kaveh Ghaboosi, Jingyuan Zhang, Hongmei Deng, A survey of cyber crimes Security and Communication Networks. ,vol. 5, pp. 422- 437 ,(2012) , 10.1002/SEC.331
Claudio A. Bonilla, José M. Merigó, Carolina Torres-Abad, Economics in Latin America: a bibliometric analysis Scientometrics. ,vol. 105, pp. 1239- 1252 ,(2015) , 10.1007/S11192-015-1747-7
Yousra Aafer, Wenliang Du, Heng Yin, DroidAPIMiner: Mining API-Level Features for Robust Malware Detection in Android Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. pp. 86- 103 ,(2013) , 10.1007/978-3-319-04283-1_6
Asaf Shabtai, Uri Kanonov, Yuval Elovici, Chanan Glezer, Yael Weiss, Andromaly: a behavioral malware detection framework for android devices intelligent information systems. ,vol. 38, pp. 161- 190 ,(2012) , 10.1007/S10844-010-0148-X
Mohd Zaki Mas'ud, Shahrin Sahib, Mohd Faizal Abdollah, Siti Rahayu Selamat, Robiah Yusof, Analysis of Features Selection and Machine Learning Classifier in Android Malware Detection 2014 International Conference on Information Science & Applications (ICISA). pp. 1- 5 ,(2014) , 10.1109/ICISA.2014.6847364