Hybrid approach with Deep Auto-Encoder and optimized LSTM based Deep Learning approach to detect anomaly in cloud logs

被引:0
|
作者
Pankajashan, Savaridassan [1 ]
Maragatham, G. [1 ]
Kirthiga Devi, T. [1 ]
机构
[1] Department of Information Technology, SRM Institute of Science and Technology, Kattankualathur, Chennai, Tami Nadu, India
来源
关键词
461.1 Biomedical Engineering - 461.4 Ergonomics and Human Factors Engineering - 716.1 Information Theory and Signal Processing - 722.4 Digital Computers and Systems - 723 Computer Software; Data Handling and Applications - 821.0 Woodlands and Forestry - 903.1 Information Sources and Analysis;
D O I
暂无
中图分类号
学科分类号
摘要
32
引用
收藏
页码:6257 / 6271
相关论文
共 50 条
  • [21] A Novel Sparse Auto-Encoder for Deep Unsupervised Learning
    Jiang, Xiaojuan
    Zhang, Yinghua
    Zhang, Wensheng
    Xiao, Xian
    2013 SIXTH INTERNATIONAL CONFERENCE ON ADVANCED COMPUTATIONAL INTELLIGENCE (ICACI), 2013, : 256 - 261
  • [22] A road segmentation method based on the deep auto-encoder with supervised learning
    Song, Xiaona
    Rui, Ting
    Zhang, Sai
    Fei, Jianchao
    Wang, Xinqing
    COMPUTERS & ELECTRICAL ENGINEERING, 2018, 68 : 381 - 388
  • [23] Deep Auto-Encoder Neural Networks in Reinforcement Learning
    Lange, Sascha
    Riedmiller, Martin
    2010 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS IJCNN 2010, 2010,
  • [24] AN AUTO-ENCODER BASED APPROACH TO UNSUPERVISED LEARNING OF SUBWORD UNITS
    Badino, Leonardo
    Canevari, Claudia
    Fadiga, Luciano
    Metta, Giorgio
    2014 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP), 2014,
  • [25] Anomaly Detection Using System Logs: A Deep Learning Approach
    Sinha, Rohit
    Sur, Rittika
    Sharma, Ruchi
    Shrivastava, Avinash K.
    INTERNATIONAL JOURNAL OF INFORMATION SECURITY AND PRIVACY, 2022, 16 (01)
  • [26] Data Reconstruction Based on Supervised Deep Auto-Encoder
    Rui, Ting
    Zhang, Sai
    Ren, Tongwei
    Tang, Jian
    Zou, Junhua
    ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2017, PT II, 2018, 10736 : 869 - 879
  • [27] A Deep Learning Approach to Network Intrusion Detection Using a Proposed Supervised Sparse Auto-encoder and SVM
    Ghorbani, Ali
    Fakhrahmad, Seyed Mostafa
    IRANIAN JOURNAL OF SCIENCE AND TECHNOLOGY-TRANSACTIONS OF ELECTRICAL ENGINEERING, 2022, 46 (03) : 829 - 846
  • [28] A Deep Learning Approach to Network Intrusion Detection Using a Proposed Supervised Sparse Auto-encoder and SVM
    Ali Ghorbani
    Seyed Mostafa Fakhrahmad
    Iranian Journal of Science and Technology, Transactions of Electrical Engineering, 2022, 46 : 829 - 846
  • [29] Compressed Auto-encoder Building Block for Deep Learning Network
    Feng, Qiying
    Chen, C. L. Philip
    Chen, Long
    IEEE ICCSS 2016 - 2016 3RD INTERNATIONAL CONFERENCE ON INFORMATIVE AND CYBERNETICS FOR COMPUTATIONAL SOCIAL SYSTEMS (ICCSS), 2016, : 131 - 136
  • [30] A Novel Deep Learning Approach for Tropical Cyclone Track Prediction Based on Auto-Encoder and Gated Recurrent Unit Networks
    Lian, Jie
    Dong, Pingping
    Zhang, Yuping
    Pan, Jianguo
    APPLIED SCIENCES-BASEL, 2020, 10 (11):