Search Results - "Windows Native API"

An Adaptive Anomaly Detection Method Based on Incremental Hidden Markov Model and Windows Native API

基於漸進式隱藏馬可夫模型與Windows系統呼叫之可調適性異常入侵偵測方法

Authors: Wen-Fu Shih 施文富

Thesis Advisors: Wen-Fu Shih 施文富

File Description: 61

Availability: http://ndltd.ncl.edu.tw/handle/99798065283101455253

PRESTREZANJE SISTEMSKIH KLICEV PRI MICROSOFTOVIH OPERACIJSKIH SISTEMIH OKNA ; SYSTEM CALL HOOKING IN MICROSOFT WINDOWS OPERATING SYSTEMS

Authors: Škofič, Jure Zazula, Damjan

Contributors: Škofič, Jure Zazula, Damjan

Source: Maribor

Subject Terms: operacijski sistemi, prestrezanje klicev, vrivanje skupnih knjižnic, nadzornik procesov, aplikacijski vmesnik za jedro operacijskega sistema, operating systems, hooking, DLL injection, process monitor, Windows native API, info:eu-repo/classification/udc/004.451.9:004.9(043.2)

File Description: application/pdf

Relation: https://dk.um.si/IzpisGradiva.php?id=17139; https://dk.um.si/Dokument.php?id=19814&dn=; https://plus.si.cobiss.net/opac7/bib/14991894?lang=sl

Availability: https://dk.um.si/IzpisGradiva.php?id=17139
https://dk.um.si/Dokument.php?id=19814&dn=
https://plus.si.cobiss.net/opac7/bib/14991894?lang=sl

A Framework for Diversifying Windows Native APIs to Tolerate Code Injection Attacks

Authors: Lynette Qu Nguyen Tufan Demir Jeff et al.

Contributors: Lynette Qu Nguyen Tufan Demir Jeff et al.

Source: http://mu.cs.ucdavis.edu/~fhsu/papers/asiaccs07.pdf.

Subject Terms: Engineering, General—Protection mechanisms General Terms Security, Diversity Keywords Diversity, Windows Native API, Code injection attacks

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.5580; http://mu.cs.ucdavis.edu/~fhsu/papers/asiaccs07.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.87.5580
http://mu.cs.ucdavis.edu/~fhsu/papers/asiaccs07.pdf

Adoption of Deep-Learning Models for Managing Threat in API Calls with Transparency Obligation Practice for Overall Resilience.

Authors: Basheer, Nihala Islam, Shareeful Alwaheidi, Mohammed K. S. et al.

Source: Sensors (14248220); Aug2024, Vol. 24 Issue 15, p4859, 24p

Subject Terms: DEEP learning, TRAFFIC flow, APPLICATION software, USER experience, SECURITY systems, APPLICATION program interfaces

A REAL-TIME INTRUSION DETECTION SYSTEM FOR THE WINDOWS ENVIRONMENT.

Authors: Buckley, Deborah Altas, Irfan Howarth, Jason

Source: Proceedings of the IADIS International Conference on WWW/Internet. Nov2007, p84-88. 5p. 1 Diagram, 1 Chart.

Subject Terms: Intrusion detection systems (Computer security), Algorithms, Data mining, Windows (Graphical user interfaces), Online data processing

Ransomware detection using machine learning algorithms.

Authors: Bae, Seong Il Lee, Gyu Bin Im, Eul Gyu

Source: Concurrency & Computation: Practice & Experience; 9/25/2020, Vol. 32 Issue 18, p1-11, 11p

Subject Terms: RANSOMWARE, MACHINE learning, COMPUTER network security

Using a Subtractive Center Behavioral Model to Detect Malware.

Authors: Aslan, Ömer Samet, Refik Tanrıöver, Ömer Özgür

Source: Security & Communication Networks; 2/27/2020, p1-17, 17p

Subject Terms: HUMAN behavior models, MALWARE, MALWARE prevention, MACHINE learning

An empirical study to estimate the stability of random forest classifier on the hybrid features recommended by filter based feature selection technique.

Authors: Darshan, S. L. Shiva Jaidhar, C. D.

Source: International Journal of Machine Learning & Cybernetics; Feb2020, Vol. 11 Issue 2, p339-358, 20p

The Evolution of Ransomware in Cybersecurity Space.

Authors: Mathew, Alex

Source: International Research Journal of Innovations in Engineering & Technology; Mar2022, Vol. 6 Issue 3, p88-90, 3p

Subject Terms: RANSOMWARE, INTERNET security, MACHINE learning, ALGORITHMS, INVOCATION

A Cloud-Based Real-Time Mechanism to Protect End Hosts against Malware.

Authors: Hsu, Fu-Hau Lee, Chia-Hao Luo, Ting et al.

Source: Applied Sciences (2076-3417); Sep2019, Vol. 9 Issue 18, p3748, 13p

Subject Terms: MALWARE, MALWARE prevention, COMPUTER systems, ANTIMICROBIAL peptides

Characterising Malicious Software with High-Level Behavioural Patterns.

Authors: Št'astná, Jana Tomášek, Martin

Source: SOFSEM 2017: Theory & Practice of Computer Science; 2017, p473-484, 12p

RIVER: A Binary Analysis Framework Using Symbolic Execution and Reversible x86 Instructions.

Authors: Stoenescu, Teodor Stefanescu, Alin Predut, Sorina et al.

Source: FM 2016: Formal Methods; 2016, p779-785, 7p

Binary Analysis based on Symbolic Execution and Reversible x86 Instructions.

Authors: Stoenescu, Teodor Alin Stefanescu Sorina Predut et al.

Source: Fundamenta Informaticae; 2017, Vol. 153 Issue 1-2, p105-124, 20p

Subject Terms: BINARY operations, ELIMINATION (Mathematics), MATHEMATICAL models, INFORMATION theory, BINARY codes

Replacement Attacks: Automatically Impeding Behavior-Based Malware Specifications.

Authors: Ming, Jiang Xin, Zhi Lan, Pengwei et al.

Source: Applied Cryptography & Network Security: 13th International Conference, ACNS 2015, New York, NY, USA, June 2-5, 2015, Revised Selected Papers; 2015, p497-517, 21p

iPanda: A comprehensive malware analysis tool.

Authors: Xie, Peidai Lu, Xicheng Su, Jinshu et al.

Source: International Conference on Information Networking 2013 (ICOIN); 2013, p481-486, 6p

Toward the Knowledge Circulation between Institutions and Public Audiences with Virtual Agents.

Authors: Huang, Hung-Hsuan Kubota, Hidekazu Nishida, Toyoaki

Source: Opportunities & Challenges for Next-generation Applied Intelligence; 2009, p219-224, 6p

Sphere Juggler: fast context retrieval in support of working spheres.

Authors: Morteo, R. Gonzalez, V.M. Favela, J. et al.

Source: Proceedings of the Fifth Mexican International Conference in Computer Science, 2004 (ENC 2004); 2004, p361-367, 7p

A Survey on Automated Dynamic Malware-Analysis Techniques and Tools.

Authors: Egele, Manuel Scholte, Theodoor Kirda, Engin et al.

Source: ACM Computing Surveys; Apr2012, Vol. 44 Issue 2, p6-6:42, 42p, 4 Diagrams, 1 Chart

Subject Terms: ANTIVIRUS software, MALWARE, COMPUTER security software, ANTI-malware (Computer software), COMPUTER virus prevention, COMPUTER security

Combining Hidden Markov Model and Support Vector Machine for Host-based Anomaly Detection Systems

結合隱藏式馬可夫模型與支援向量機於異常偵測系統之研究

Authors: Wei-Chi Chen 陳威棋

Thesis Advisors: Wei-Chi Chen 陳威棋

File Description: 60

Availability: http://ndltd.ncl.edu.tw/handle/pyy4du

Native API based Windows anomaly intrusion detection method using SVM.

Authors: Miao Wang Cheng Zhang Jingjing Yu

Source: IEEE International Conference on Sensor Networks, Ubiquitous & Trustworthy Computing (SUTC'06); 2006, p6-6, 1p