Advance Persistent Threats (APTs), adopted by most delicate attackers, are becoming increasing common and pose great threat to various enterprises and institutions. Data provenance analysis on ...

Deep learning has proven to be promising for traffic fingerprinting that explores features of packet timing and sizes. Although well-known for automatic feature extraction, it is faced with a gap ...

Md Mojibur Rahman Redoy Akanda, Amanda Lacy, and Nitesh Saxena, Texas A&M University, College Station ...

Sai Ritvik Tanksalkar, Siddharth Muralee, Datta manikanta sri hari Danduri, Paschal Amusuo, Antonio Bianchi, James C Davis, and Aravind Machiry, Purdue University ...

Wei-Che Kao, Yen-Chia Chen, Yu-Sheng Lin, Yu-Cheng Yang, Chi-Yu Li, and Chun-Ying Huang, National Yang Ming Chiao Tung University ...

Each shadow port is associated with a cluster of normal ports. Since its power consumption is the same as that of a normal port, savings can be achieved if atleast two of the normal ports in a cluster ...

Latency AggregationAfter experimenting with completely decentralized approaches and encountering the divergence problem detailed above, we implemented a more centralized technique to compute ...

Lan Gao, Oscar Chen, Rachel Lee, Nick Feamster, Chenhao Tan, and Marshini Chetty, University of Chicago ...

Wenjun Zhu, Xiaoyu Ji, Xinfeng Li, Qihang Chen, Kun Wang, Xinyu Li, Ruoyan Xu, and Wenyuan Xu, Zhejiang University ...

Pascal Lafourcade and Dhekra Mahmoud, Université Clermont Auvergne, CNRS, Clermont Auvergne INP, Mines Saint-Etienne, LIMOS, 63000 Clermont-Ferrand, France; Sylvain Ruhault and Abdul Rahman Taleb, ...

Jinwen He, Yiyang Lu, Zijin Lin, Kai Chen, and Yue Zhao, Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China ...

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