M
M. Ali Babar
Researcher at University of Adelaide
Publications - 71
Citations - 795
M. Ali Babar is an academic researcher from University of Adelaide. The author has contributed to research in topics: Computer science & Software system. The author has an hindex of 10, co-authored 53 publications receiving 305 citations. Previous affiliations of M. Ali Babar include Cooperative Research Centre.
Papers
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Data exfiltration
TL;DR: A review of data exfiltration attack vectors and countermeasures revealed that most of the state of the art is focussed on preventive and detective countermeasures and significant research is required on developing investigative countermeasures that are equally important.
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Deep Learning for Source Code Modeling and Generation: Models, Applications and Challenges.
TL;DR: In this article, a comprehensive review of DL methods for source code modeling and generation is provided, and the state-of-the-art practices and challenges are discussed with some recommendations for practitioners and researchers as well.
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A review of edge computing: Features and resource virtualization
Yaser Mansouri,M. Ali Babar +1 more
TL;DR: In this paper, the authors analyze cloud and edge computing paradigms from features and pillars perspectives to identify the key motivators of the transitions from one type of virtualized computing paradigm to another one.
Posted Content
Architectural Tactics for Big Data Cybersecurity Analytic Systems: A Review
Faheem Ullah,M. Ali Babar +1 more
TL;DR: In this paper, a systematic review aimed at identifying the most frequently reported quality attributes and architectural tactics for Big Data Cybersecurity Analytic Systems was conducted, which revealed that despite the significance of interoperability, modifiability, adaptability, generality, stealthiness, and privacy assurance, these quality attributes lack explicit architectural support in the literature.
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Architectural Resilience in Cloud, Fog and Edge Systems: A Survey
Victor Prokhorenko,M. Ali Babar +1 more
TL;DR: This work presents a capability-based cyber-foraging framework intended to improve the overall system resilience in the context of a physical node’s capabilities and a flexible taxonomy for reviewing architectural resilience approaches for distributed systems.