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Results 1 - 20 of 3,475  for All Library Resources

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1
Data at rest analysis for an APT detection Treatment of code overlap by static analysis
Data at rest analysis for an APT detection Treatment of code overlap by static analysis
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Data at rest analysis for an APT detection Treatment of code overlap by static analysis

International journal of digital information and wireless communications, 2021-10, Vol.11 (4), p.75

COPYRIGHT 2021 The Society of Digital Information and Wireless Communications ;ISSN: 2225-658X ;EISSN: 2225-658X

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2
Three responses to the Trojan Horse Affair podcast
Three responses to the Trojan Horse Affair podcast
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Three responses to the Trojan Horse Affair podcast

Soundings (London, England), 2022-06, Vol.81 (81), p.106-109 [Peer Reviewed Journal]

COPYRIGHT 2022 Lawrence & Wishart Ltd. ;ISSN: 1362-6620 ;EISSN: 1741-0797 ;DOI: 10.3898/SOUN:81.REVIEWS.2022

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3
Macrophages: a Trojan horse in COVID-19?
Macrophages: a Trojan horse in COVID-19?
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Macrophages: a Trojan horse in COVID-19?

Nature reviews. Immunology, 2020-06, Vol.20 (6), p.351-351 [Peer Reviewed Journal]

COPYRIGHT 2020 Nature Publishing Group ;Springer Nature Limited 2020. ;Springer Nature Limited 2020 ;ISSN: 1474-1733 ;EISSN: 1474-1741 ;DOI: 10.1038/s41577-020-0317-2 ;PMID: 32303696

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4
Saifan and the Weaponization of Trade Secrets
Saifan and the Weaponization of Trade Secrets
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Saifan and the Weaponization of Trade Secrets

Verfassungsblog, 2023-06 (2366-7044) [Peer Reviewed Journal]

EISSN: 2366-7044

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5
The Role and Regulation of Thromboxane A[sub.2] Signaling in Cancer-Trojan Horses and Misdirection
The Role and Regulation of Thromboxane A[sub.2] Signaling in Cancer-Trojan Horses and Misdirection
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The Role and Regulation of Thromboxane A[sub.2] Signaling in Cancer-Trojan Horses and Misdirection

Molecules (Basel, Switzerland), 2022-09, Vol.27 (19) [Peer Reviewed Journal]

COPYRIGHT 2022 MDPI AG ;ISSN: 1420-3049 ;EISSN: 1420-3049 ;DOI: 10.3390/molecules27196234

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6
Android Spyware Detection Using Machine Learning: A Novel Dataset
Android Spyware Detection Using Machine Learning: A Novel Dataset
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Android Spyware Detection Using Machine Learning: A Novel Dataset

Sensors (Basel, Switzerland), 2022-08, Vol.22 (15), p.5765 [Peer Reviewed Journal]

2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;2022 by the authors. 2022 ;ISSN: 1424-8220 ;EISSN: 1424-8220 ;DOI: 10.3390/s22155765 ;PMID: 35957337

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7
An ensemble classification method based on machine learning models for malicious Uniform Resource Locators (URL)
An ensemble classification method based on machine learning models for malicious Uniform Resource Locators (URL)
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An ensemble classification method based on machine learning models for malicious Uniform Resource Locators (URL)

PloS one, 2024-05, Vol.19 (5), p.e0302196-e0302196 [Peer Reviewed Journal]

Copyright: © 2024 Sankaranarayanan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0302196 ;PMID: 38820435

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8
Is It Legal?
Is It Legal?
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Is It Legal?

Journal of intellectual freedom & privacy, 2021-06, Vol.6 (1), p.17-18

Copyright American Library Association Spring 2021 ;ISSN: 2474-7459 ;EISSN: 2474-7459 ;DOI: 10.5860/jifp.v6i1.7595

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9
Mobile Spyware Identification and Categorization: A Systematic Review
Mobile Spyware Identification and Categorization: A Systematic Review
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Mobile Spyware Identification and Categorization: A Systematic Review

Informatica (Ljubljana), 2023-09, Vol.47 (8) [Peer Reviewed Journal]

ISSN: 0350-5596 ;EISSN: 1854-3871 ;DOI: 10.31449/inf.v47i8.4881

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10
A review on security threats, vulnerabilities, and counter measures of 5G enabled Internet‐of‐Medical‐Things
A review on security threats, vulnerabilities, and counter measures of 5G enabled Internet‐of‐Medical‐Things
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A review on security threats, vulnerabilities, and counter measures of 5G enabled Internet‐of‐Medical‐Things

IET communications, 2022-03, Vol.16 (5), p.421-432 [Peer Reviewed Journal]

2021 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology ;ISSN: 1751-8628 ;EISSN: 1751-8636 ;DOI: 10.1049/cmu2.12301

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11
In Silico Analysis of the Ga[sup.3+]/Fe[sup.3+] Competition for Binding the Iron-Scavenging Siderophores of IP. aeruginosa/I—Implementation of Three Gallium-Based Complexes in the “Trojan Horse” Antibacterial Strategy
In Silico Analysis of the Ga[sup.3+]/Fe[sup.3+] Competition for Binding the Iron-Scavenging Siderophores of IP. aeruginosa/I—Implementation of Three Gallium-Based Complexes in the “Trojan Horse” Antibacterial Strategy
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In Silico Analysis of the Ga[sup.3+]/Fe[sup.3+] Competition for Binding the Iron-Scavenging Siderophores of IP. aeruginosa/I—Implementation of Three Gallium-Based Complexes in the “Trojan Horse” Antibacterial Strategy

Biomolecules (Basel, Switzerland), 2024-04, Vol.14 (4) [Peer Reviewed Journal]

COPYRIGHT 2024 MDPI AG ;ISSN: 2218-273X ;EISSN: 2218-273X ;DOI: 10.3390/biom14040487

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12
Antibody-drug conjugates in solid tumors: a look into novel targets
Antibody-drug conjugates in solid tumors: a look into novel targets
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Antibody-drug conjugates in solid tumors: a look into novel targets

Journal of hematology and oncology, 2021-01, Vol.14 (1), p.20-20, Article 20 [Peer Reviewed Journal]

COPYRIGHT 2021 BioMed Central Ltd. ;COPYRIGHT 2021 BioMed Central Ltd. ;2021. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. ;The Author(s) 2021 ;ISSN: 1756-8722 ;EISSN: 1756-8722 ;DOI: 10.1186/s13045-021-01035-z ;PMID: 33509252

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13
A novel hardware Trojan detection method based on sweep‐frequency test
A novel hardware Trojan detection method based on sweep‐frequency test
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A novel hardware Trojan detection method based on sweep‐frequency test

Electronics letters, 2022-11, Vol.58 (23), p.887-889 [Peer Reviewed Journal]

2022 The Authors. published by John Wiley & Sons Ltd on behalf of The Institution of Engineering and Technology. ;ISSN: 0013-5194 ;EISSN: 1350-911X ;DOI: 10.1049/ell2.12630

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14
Secure PIN-Entry Method Using One-Time PIN (OTP)
Secure PIN-Entry Method Using One-Time PIN (OTP)
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Secure PIN-Entry Method Using One-Time PIN (OTP)

IEEE access, 2023, Vol.11, p.18121-18133 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2023 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2023.3243114 ;CODEN: IAECCG

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15
Spyware in intelligence espionage operations as a threat to the state
Spyware in intelligence espionage operations as a threat to the state
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Spyware in intelligence espionage operations as a threat to the state

Kyiv-Mohyla law & politics journal, 2023-12, Vol.8-9, p.161-171 [Peer Reviewed Journal]

EISSN: 2414-9942 ;DOI: 10.18523/kmlpj303225.2023-8-9.161-171

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16
Detection and Elimination of Spyware and Ransomware by Intercepting Kernel-Level System Routines
Detection and Elimination of Spyware and Ransomware by Intercepting Kernel-Level System Routines
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Detection and Elimination of Spyware and Ransomware by Intercepting Kernel-Level System Routines

IEEE access, 2018, Vol.6, p.78321-78332 [Peer Reviewed Journal]

Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2018 ;ISSN: 2169-3536 ;EISSN: 2169-3536 ;DOI: 10.1109/ACCESS.2018.2884964 ;CODEN: IAECCG

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17
GSB: GNGS and SAG-BiGRU network for malware dynamic detection
GSB: GNGS and SAG-BiGRU network for malware dynamic detection
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GSB: GNGS and SAG-BiGRU network for malware dynamic detection

PloS one, 2024-04, Vol.19 (4), p.e0298809-e0298809 [Peer Reviewed Journal]

Copyright: © 2024 Hu et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;2024 Hu et al 2024 Hu et al ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0298809 ;PMID: 38635682

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18
AMDDLmodel: Android smartphones malware detection using deep learning model
AMDDLmodel: Android smartphones malware detection using deep learning model
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AMDDLmodel: Android smartphones malware detection using deep learning model

PloS one, 2024-01, Vol.19 (1), p.e0296722-e0296722 [Peer Reviewed Journal]

Copyright: © 2024 Aamir et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0296722 ;PMID: 38241330

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19
Z2F: Heterogeneous graph-based Android malware detection
Z2F: Heterogeneous graph-based Android malware detection
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Z2F: Heterogeneous graph-based Android malware detection

PloS one, 2024-03, Vol.19 (3), p.e0300975-e0300975 [Peer Reviewed Journal]

Copyright: © 2024 Ma, Luktarhan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. ;COPYRIGHT 2024 Public Library of Science ;2024 Ma, Luktarhan 2024 Ma, Luktarhan ;ISSN: 1932-6203 ;EISSN: 1932-6203 ;DOI: 10.1371/journal.pone.0300975 ;PMID: 38547074

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20
Applicability of machine learning in spam and phishing email filtering: review and approaches
Applicability of machine learning in spam and phishing email filtering: review and approaches
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Applicability of machine learning in spam and phishing email filtering: review and approaches

The Artificial intelligence review, 2020-10, Vol.53 (7), p.5019-5081 [Peer Reviewed Journal]

Springer Nature B.V. 2020 ;COPYRIGHT 2020 Springer ;Springer Nature B.V. 2020. ;ISSN: 0269-2821 ;EISSN: 1573-7462 ;DOI: 10.1007/s10462-020-09814-9

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