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1.
Ninja A V : Software tool for malware detection by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: MSc. Computer Science and Information Security 2013 - 2015 INT
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2.
Machine learning based malware analysis for android by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: MSc. Computer Science and Information Security 2013 - 2015 INT
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3.
Malware detection in smart phones based on graph invariants by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: Master of Science in Computer Science and Information security 2013-2015 INT
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4.
Probabilistic discriminative model for malware detection in Android platform using decompiled source code by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: MPhil Computer Science 2015-16 INT
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5.
Malware detection in android phones using K-means clustering. by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: Msc CSIS 2014-16 INT
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6.
Stacked de-noising auto-encoder based object tracking and detection using extreme learning machine Jitha P Nair by
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Dissertation note: M Phil CS 2015-16 INT
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7.
Malware detection using system call defendency graph Karthika Kurup B A by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: CSIS 2014-16 INT
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8.
A machine learning approach to detect malware using system calls by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: CSIS 2015-17 INT
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9.
Malware detection using N-gram file signature (Decision tree algorithm) by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: CSIS 2015-17 INT
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10.
A framework for static malware detection using N-grams by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: CASIS 2015-17 INT
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11.
N-gram based file signature for malware detection by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: CSIS 2015-17 INT
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12.
Android malware detection using classifier fusion method by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: MPHIL CS 2015-16 INT
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13.
A machine learning approach for detection of android malware based on hybrid analysis by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: MSC CS 2016-2018 INT
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14.
Operating system kernal space malware detection approach using machine learning by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: MPhil CS 2017-2018 INT
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15.
Ransomware detection using machine learning by
Material type: Text Text; Format: print ; Literary form: Not fiction
Dissertation note: MSC CS 2017-2019 INT
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16.
Malware analysis and detection engineering : A comprehensive approach to detect and analyze modern malware / Abhijit Mohanta, Anoop Saldanha by
Material type: Text Text; Format: print ; Literary form: Not fiction
Publication details: New York, Apress, 2020
Availability: Not available: Kerala University of Digital Sciences, Innovation and Technology Knowledge Centre: Checked out (1).

17.
Anti-fragile ICT Systems by
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18.
Green, Energy-Efficient and Sustainable Networks by
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