CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES

CYBER ATTACK DETECTION USING MACHINE LEARNING TECHNIQUES

Ph.D

محفوظ في:

التفاصيل البيبلوغرافية
المؤلف الرئيسي:	QI PANPAN
مؤلفون آخرون:	COMPUTATIONAL SCIENCE
التنسيق:	Theses and Dissertations
اللغة:	English
منشور في:	2022
الموضوعات:	Cyber Attack Detection,Machine Learning,Malware Detection,Unsupervised Domain Adaptation,Cyber Physical System,Unsupervised Anomaly Detection
الوصول للمادة أونلاين:	https://scholarbank.nus.edu.sg/handle/10635/230819
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

مواد مشابهة

Cyber-attack detection and countermeasure for distributed electric springs for smart grid applications
بواسطة: Chen, Jie, وآخرون
منشور في: (2022)

Self-supervised feature learning for semantic segmentation of overhead imagery
بواسطة: SINGH, Suriya, وآخرون
منشور في: (2018)

ANALYSIS AND DETECTION OF GPS SPOOFING ATTACKS IN CYBER PHYSICAL SYSTEMS
بواسطة: WEI XIAO
منشور في: (2022)

STATISTICAL AND MACHINE LEARNING BASED ATTACK DETECTION ON WIRELESS IoT NETWORKS
بواسطة: BIKALPA UPADHYAYA
منشور في: (2022)

Cluster-wide task slowdown detection in cloud system
بواسطة: CHEN, Feiyi, وآخرون
منشور في: (2024)

Online growing neural gas for anomaly detection in changing surveillance scenes
بواسطة: SUN, Qianru, وآخرون
منشور في: (2017)

Learning from mutants: Using code mutation to learn and monitor invariants of a cyber-physical system
بواسطة: CHEN, Yuqi, وآخرون
منشور في: (2018)

EARLY DETECTION OF INTERNET-OF-THINGS BOTNETS
بواسطة: AYUSH KUMAR
منشور في: (2021)

Deep weakly-supervised anomaly detection
بواسطة: PANG, Guansong, وآخرون
منشور في: (2023)

Cyber attacks: Does physical boundary matter?
بواسطة: Wang, Q.-H., وآخرون
منشور في: (2013)

TECHNIQUES FOR DETECTING STEALTHY CYBER AND CYBER-PHYSICAL ATTACKS ON POWER TRANSMISSION AND DISTRIBUTION SYSTEMS
بواسطة: JAMES RANJITH KUMAR RAJASEKARAN
منشور في: (2021)

Towards systematically deriving defence mechanisms from functional requirements of cyber-physical systems
بواسطة: YOONG, Cheah Huei, وآخرون
منشور في: (2020)

SELF-ORGANIZING MAPS FOR INTRUSION/ANOMALY DETECTION
بواسطة: WEI LUYUAN
منشور في: (2019)

UNSUPERVISED DETECTION AND LOCALIZATION OF ANOMALOUS MOTION PATTERNS IN SURVEILLANCE VIDEO
بواسطة: ABDULLAH AHMAD TALEB ABUOLAIM
منشور في: (2017)

Physical adversarial attack on a robotic arm
بواسطة: JIA, Yifan, وآخرون
منشور في: (2022)

Distributed Secure Coordinated Control for Multiagent Systems Under Strategic Attacks
بواسطة: Feng, Zhi, وآخرون
منشور في: (2017)

STATISTICAL DETECTION OF CYBER SECURITY ATTACKS IN WIRELESS NETWORKS
بواسطة: NALAM VENKATA ABHISHEK
منشور في: (2021)

PHYSICS VS MACHINE LEARNING: TOPOLOGICAL CLASSIFICATION WITH MACHINE LEARNING & ENHANCED MACHINE LEARNING WITH QUANTUM PROPERTIES
بواسطة: MA NANNAN
منشور في: (2023)

Locally varying distance transform for unsupervised visual anomaly detection
بواسطة: LIN, Wen-yan, وآخرون
منشور في: (2022)

Phase Fourier Reconstruction for Anomaly Detection on Metal Surface Using Salient Irregularity
بواسطة: Hung, Tzu-Yi, وآخرون
منشور في: (2017)

Audio and visual perceptions for mobile robot
بواسطة: GUAN FENG
منشور في: (2010)

Constrained contrastive distribution learning for unsupervised anomaly detection and localisation in medical images
بواسطة: TIAN, Yu, وآخرون
منشور في: (2021)

An evolutionary deep learning approach using flexible variable-length dynamic stochastic search for anomaly detection of robot joints
بواسطة: Liu, Qi, وآخرون
منشور في: (2025)

Distributed host-based collaborative detection for false data injection attacks in smart grid cyber-physical system
بواسطة: Li, Beibei, وآخرون
منشور في: (2017)

The impact of a number of samples on unsupervised feature extraction, based on deep learning for detection defects in printed circuit boards
بواسطة: Volkau, Ihar, وآخرون
منشور في: (2022)

Unsupervised anomaly detection in medical images with a memory-augmented multi-level cross-attentional masked autoencoder
بواسطة: TIAN, Yu, وآخرون
منشور في: (2023)

Experimental comparison of features and classifiers for Android malware detection
بواسطة: SHAR, Lwin Khin, وآخرون
منشور في: (2020)

ROBUST AND ADAPTIVE ANOMALY DETECTION WITH DEEP LEARNING
بواسطة: ADAM DAVID GOODGE
منشور في: (2023)

Adversarial attacks and mitigation for anomaly detectors of cyber-physical systems
بواسطة: JIA, Yifan, وآخرون
منشور في: (2021)

Deep learning for anomaly detection
بواسطة: PANG, Guansong, وآخرون
منشور في: (2022)

Finite time attack detection and supervised secure state estimation for CPSs with malicious adversaries
بواسطة: Ao, Wei, وآخرون
منشور في: (2020)

Attack detection for cyber-physical systems: a zonotopic approach
بواسطة: Li, Jitao, وآخرون
منشور في: (2023)

Semantics-aware Android malware classification using weighted contextual API dependency graphs
بواسطة: ZHANG, Mu, وآخرون
منشور في: (2014)

A scalable approach for malware detection through bounded feature space behavior modeling
بواسطة: CHANDRAMOHAN, Mahinthan, وآخرون
منشور في: (2013)

Local bounding technique and its applications to uncertain clustering
بواسطة: ZHANG ZHENJIE
منشور في: (2010)

Bayesian network based extreme learning machine for subjectivity detection
بواسطة: Chaturvedi, Iti, وآخرون
منشور في: (2018)

Cyber attacks: Does physical boundary matter?
بواسطة: QIU-HONG WANG,, وآخرون
منشور في: (2009)

Modeling engagement of programming students using unsupervised machine learning technique
بواسطة: FWA, Hua Leong, وآخرون
منشور في: (2018)

Experimental comparison of features, analyses, and classifiers for Android malware detection
بواسطة: SHAR, Lwin Khin, وآخرون
منشور في: (2023)

Challenges and countermeasures for adversarial attacks on deep reinforcement learning
بواسطة: Ilahi, Inaam, وآخرون
منشور في: (2022)