Abstract
No public abstract is available from the verified source records.
Archan Mitra, P. V. Satya Prasad
Abstract
Authors
Institutions
No local reference links have been materialized yet.
No local citing links have been materialized yet.
A case analysis of information systems and security incident responses
10.1016/j.ijinfomgt.2015.08.001 · 2015
Evaluation of an integrated platform for secure electronic health records sharing in cloud computing
2019
Ransomware threat success factors, taxonomy, and countermeasures: a survey and research directions
10.1016/j.cose.2018.01.001 · 2018
Deep learning for cybersecurity applications: a comprehensive review
2020
Security in cloud computing: opportunities and challenges
10.1016/j.ins.2015.01.025 · 2015
Cloud computing-enabled healthcare opportunities, issues, and applications: a systematic review
10.1016/j.ijinfomgt.2018.07.009 · 2018
Germany Technical issues of forensic investigations in cloud computing environments
2011
A survey of data mining and machine learning methods for cyber security intrusion detection
10.1109/comst.2015.2494502 · 2016
Autonomic cloud computing: open challenges and architectural elements
2019
User behavior analytics for insider threat detection
Provenance
crossref
Confidence 100%
ror
Confidence 99%
ror
Confidence 99%
ror
Confidence 99%
ror
Confidence 99%
ror
Confidence 99%
openalex
Confidence 95%
datacite
Confidence 0%
2019
Cybersecurity in healthcare: a narrative review of trends, threats and ways forward
10.1016/j.maturitas.2018.04.008 · 2018
Unresolved referenced work
2021
Unresolved referenced work
2016
Healthcare blockchain system using smart contracts for secure automated remote patient monitoring
10.1007/s10916-018-0982-x · 2018
An analysis of security issues for cloud computing
10.1186/1869-0238-4-5 · 2013
Long short-term memory
10.1162/neco.1997.9.8.1735 · 1997
Cybersecurity in hospitals: a systematic, organizational perspective
10.2196/10059 · 2018
Secure cloud computing in healthcare: challenges and solutions
2020
A novel hybrid intrusion detection method integrating anomaly detection with misuse detection
10.1016/j.eswa.2013.08.066 · 2014
Cybersecurity in healthcare: a systematic review of modern threats and trends
10.3233/thc-161263 · 2017
Unresolved referenced work
2020
Temporal trends and characteristics of reportable health data breaches, 2010-2017
10.1001/jama.2018.9222 · 2018
Artificial intelligence-based cybersecurity systems for multi-cloud infrastructures
2021
UNSW-NB15: a comprehensive dataset for network intrusion detection systems (UNSW-NB15 network dataset)
2015
The OWASP API Security Top 10
2023
Deep learning for securing multi-cloud healthcare systems: challenges and future directions
2022
“Why should i trust you?” Explaining the predictions of any classifier
2016
A hybrid CNN-LSTM model for network intrusion detection
2020
Anomaly detection using autoencoders with nonlinear dimensionality reduction
2014
Guide to intrusion detection and prevention systems (IDPS)
2007
A deep learning approach to network intrusion detection
10.1109/tetci.2017.2772792 · 2018
Outside the closed world: on using machine learning for network intrusion detection
2010
Targeted cyberattacks: a superset of advanced persistent threats
2013
Internet security threat report: 2019
2019
Unresolved referenced work
2013
A visualized botnet detection system based deep learning for the internet of things networks of smart cities
10.1109/tia.2020.2971952 · 2020
The big four - What we did wrong in advanced persistent threat detection?
2013
Constructing deep neural networks for network intrusion detection
2018
IoT security techniques based on machine learning: how do iot devices use AI to enhance security?
10.1109/msp.2018.2825478 · 2018
A CNN-based framework for automatic malware classification
2019
IoT security techniques based on machine learning: how do iot devices use AI to enhance security?
10.1109/msp.2018.2825478 · doi-reference
A visualized botnet detection system based deep learning for the internet of things networks of smart cities
10.1109/tia.2020.2971952 · doi-reference
A deep learning approach to network intrusion detection
10.1109/tetci.2017.2772792 · doi-reference
Temporal trends and characteristics of reportable health data breaches, 2010-2017
10.1001/jama.2018.9222 · doi-reference
Cybersecurity in healthcare: a systematic review of modern threats and trends
10.3233/thc-161263 · doi-reference
A novel hybrid intrusion detection method integrating anomaly detection with misuse detection
10.1016/j.eswa.2013.08.066 · doi-reference
Cybersecurity in hospitals: a systematic, organizational perspective
10.2196/10059 · doi-reference
Long short-term memory
10.1162/neco.1997.9.8.1735 · doi-reference
An analysis of security issues for cloud computing
10.1186/1869-0238-4-5 · doi-reference
Healthcare blockchain system using smart contracts for secure automated remote patient monitoring
10.1007/s10916-018-0982-x · doi-reference
Cybersecurity in healthcare: a narrative review of trends, threats and ways forward
10.1016/j.maturitas.2018.04.008 · doi-reference
A survey of data mining and machine learning methods for cyber security intrusion detection
10.1109/comst.2015.2494502 · doi-reference
Cloud computing-enabled healthcare opportunities, issues, and applications: a systematic review
10.1016/j.ijinfomgt.2018.07.009 · doi-reference
Security in cloud computing: opportunities and challenges
10.1016/j.ins.2015.01.025 · doi-reference
Ransomware threat success factors, taxonomy, and countermeasures: a survey and research directions
10.1016/j.cose.2018.01.001 · doi-reference
A case analysis of information systems and security incident responses
10.1016/j.ijinfomgt.2015.08.001 · doi-reference