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A Heuristic Statistical Testing Based Approach for Encrypted Network Traffic Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
In recent years, malware with strong concealment uses encrypted protocol to evade detection. Thus, encrypted traffic identification can help security analysts to be more effective in narrowing down those encrypted network ...
A Comparative Study of Machine Learning Approaches for Handwriter Identification
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
During the past few years, writer identification has attracted significant interest due to its real-life applications including document analysis, forensics etc. Machine learning algorithms have played an important role ...
Identifying mortality risk factors amongst acute coronary syndrome patients admitted to Arabian Gulf hospitals using machine‐learning methods
(
Wiley
, 2019 , Article)
Acute coronary syndrome (ACS) is a leading cause of mortality and morbidity in the
Arabian Gulf. In this study, the in‐hospital mortality amongst patients admitted with
ACS to Arabian Gulf hospitals is predicted using a ...
A Novel Deep Learning Strategy for Classifying Different Attack Patterns for Deep Brain Implants
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Deep brain stimulators (DBSs), a widely used and comprehensively acknowledged restorative methodology, are a type of implantable medical device which uses electrical stimulation to treat neurological disorders. These devices ...
An optimizing and differentially private clustering algorithm for mixed data in SDN-based smart grid
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Article)
Software-defined network (SDN) is widely used in smart grid for monitoring and managing the communication network. Big data analytics for SDN-based smart grid has got increasing attention. It is a promising approach to use ...