A Review on Security Issues and Attacks in Distributed Systems
By D. Harinath, P. Satyanarayana, M. Murthy. 2017
25 citations recorded by the source corpus.
Nowadays, so many people are connected to the internet to access the different resources of their use and different companies are using distributed environment to provide their services to the customers. So there is a need of more secure distributed environment in which all transaction and operations can be complete successfully in a secure way. In distributed System environment it is very important to provide service at anytime, anywhere to the customers, this require proper time management of all computing and networking resources, resource allocation on time and their proper utilization. In distributed environment security is primary concern.
Subfields: Computer Networks and Communications
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In Computer Networks and Communications
- Cong Xie
- Oluwasanmi Koyejo
- Indranil Gupta
- Rachid Guerraoui
- El-Mahdi El-Mhamdi
- Virat Shejwalkar
- Amir Houmansadr
- Sai Praneeth Karimireddy
Citations in the corpus
- Zeno++: Robust Fully Asynchronous SGD (2019, background): “ machine learning is widely used for accelerating the model training. As the number of workers gets larger, the distributed system becomes more vulnerable to various kinds of failures or even attacks [6]. For this reason, fault tolerance in distributed settings has attracted increasing attention in ”
- Zeno: Byzantine-suspicious stochastic gradient descent (2018, background): “As the number of workers gets larger, the distributed system becomes more vulnerable to various kinds of failures or even attacks [7].”
- Generalized Byzantine-tolerant SGD (2018, background): “However, this makes the distributed system more vulnerable to different kinds of failures or even attacks, including crashes and computation errors, stalled processes, or compromised sub-systems (Harinath et al., 2017).”
- Zeno++: robust asynchronous SGD with arbitrary number of Byzantine workers (2019, background): “As the number of workers gets larger, the distributed system becomes more vulnerable to various kinds of failures or even attacks [6].”
- Phocas: dimensional Byzantine-resilient stochastic gradient descent (2018, background): “However, this makes the distributed system more vulnerable to different kinds of failures or even attacks [7].”