As network traffic grows and attacks become more prevalent and complex, we must find creative new ways to enhance intrusion detection systems (IDSes). Recently, researchers have begun to harness both machine learning and cloud computing technology to better identify threats and speed up computation times. This paper explores current research at the intersection of these two fields by examining cloud-based network intrusion detection approaches that utilize machine learning algorithms (MLAs). Specifically, we consider clustering and classification MLAs, their applicability to modern intrusion detection, and feature selection algorithms, in order to underline prominent implementations from recent research. We offer a current overview of this growing body of research, highlighting successes, challenges, and future directions for MLA-usage in cloud-based network intrusion detection approaches.
The call-and-response, originating from African tribal rituals, has become part of the foundation of modern African-American culture. This article explores the significance of call-and-response in Usher's "Love in This Club" and relates salient features of the music to the club culture that underlies it. "Club hip-hop" emerges as firmly rooted in the use of call-and-response. The rituals of the club are likewise mirrored in the style of the music, which at times can bear the importance of sacred ceremony.
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