Ruihui Mu, Xiaoqin Zeng, Vol. 13, No. 4, April 29, 2019
10.3837/tiis.2019.04.001

• Deep Learning
• Machine Learning
• Artificial intelligence
• learning model，neural network
• optimization method

Junhyoung Oh, Tae Ho Kim, Kyung Ho Lee, Vol. 13, No. 3, March 30, 2019
10.3837/tiis.2019.03.035

• Insider threat detection
• Machine Learning
• Unsupervised learning
• Security
• Privacy Behavior

Mu Qiao, Haitao Zhao, Shengchun Huang, Li Zhou, Shan Wang, Vol. 12, No. 11, November 29, 2018
10.3837/tiis.2018.11.014

• MAC protocol
• Machine Learning
• Classification
• competitive protocol
• non-competitive protocol

Kamran Siddique, Zahid Akhtar, Muhammad Ashfaq Khan, Yong-Hwan Jung, Yangwoo Kim, Vol. 12, No. 8, August 30, 2018
10.3837/tiis.2018.08.026

• Network intrusion detection systems
• Anomaly Detection
• bulk synchronous parallel
• BSP
• Big data
• Machine Learning
• DARPA
• KDD Cup 99
• ISCX-UNB dataset

Woosik Lee, Namgi Kim, Yoon-Ho Choi, Yong Soo Kim, Byoung-Dai Lee, Vol. 12, No. 8, August 30, 2018
10.3837/tiis.2018.08.023

• Machine Learning
• Random Forest
• Fully Connected Network
• Deep Learning

Ran Dubin, Ofer Hadar, Amit Dvir, Ofir Pele, Vol. 12, No. 8, August 30, 2018
10.3837/tiis.2018.08.014

• Machine Learning
• Quality Representation Classification
• HTTPS Video Streaming
• Encrypted traffic
• YouTube

Andronicus Ayobami AKINYELU, Aderemi Oluyinka ADEWUMI, Vol. 12, No. 3, March 30, 2018
10.3837/tiis.2018.03.021

• support vector machines
• Classification
• Machine Learning
• phishing email
• spam email

Junseok Song, Kyung Tae Kim, Byungjun Lee, Sangyoung Kim, Hee Yong Youn, Vol. 11, No. 6, June 29, 2017
10.3837/tiis.2017.06.011

• Twitter sentiment analysis
• Machine Learning
• Naive bayes
• Attribute weighting
• Feature selection

Tae-young Kim, Suntae Kim, Sangchul Choi, Jeong-Ah Kim, Jae-Young Choi, Jong-Won Ko, Jee-Huong Lee, Youngwha Cho, Vol. 11, No. 2, February 27, 2017
10.3837/tiis.2017.02.023

• Logical Structure Analysis
• Machine Learning
• feature vector
• Document Management System

Yilin Ye, Lifa Wu, Zheng Hong, Kangyu Huang, Vol. 11, No. 2, February 27, 2017
10.3837/tiis.2017.02.018

• Android
• Malware detection
• Risk
• Machine Learning
• fuzzy logic