Search Results - "JavaScript attack"

Dedup Est Machina: Memory Deduplication as an Advanced Exploitation Vector: Memory Deduplication as an Advanced Exploitation Vector

Authors: Bosman, Erik Razavi, Kaveh Bos, Herbert et al.

Source: 2016 IEEE Symposium on Security and Privacy (SP)

Subject Terms: Side-channel attack, Breaking ASLR, 13. Climate action, 0202 electrical engineering, electronic engineering, information engineering, Memory-deduplication side-channel, SDG 7 - Affordable and Clean Energy, 02 engineering and technology, JavaScript attack, Birthday attack, Rowhammer

Stealing PINs via mobile sensors: actual risk versus user perception.

Authors: Mehrnezhad, Maryam Toreini, Ehsan Shahandashti, Siamak F. et al.

Source: International Journal of Information Security. Jun2018, Vol. 17 Issue 3, p291-313. 23p.

Subject Terms: *PERSONAL identification numbers, *JAVASCRIPT programming language, *SMARTPHONES, *ARTIFICIAL neural networks

Reviews & Products: ANDROID (Operating system)

TouchSignatures: Identification of user touch actions and PINs based on mobile sensor data via JavaScript.

Authors: Mehrnezhad, Maryam Toreini, Ehsan Shahandashti, Siamak F. et al.

Source: Journal of Information Security & Applications. Feb2016, Vol. 26, p23-38. 16p.

Subject Terms: *JAVASCRIPT programming language, *WEBSITES, *PERSONAL identification numbers, *ACQUISITION of data

Reviews & Products: IOS (Operating system)

Remote Scheduler Contention Attacks

Authors: Gast, Stefan Juffinger, Jonas Maar, Lukas et al.

Index Terms: Computer Science - Cryptography and Security, text

URL: http://arxiv.org/abs/2404.07042

Scripting attack detection and mitigation using content security policy violation reports

Websense Discovers Javascript Attack.

Source: Software World; May2008, Vol. 39 Issue 3, p24-25, 2p

Subject Terms: COMPUTER software

Company/Entity: WEBSENSE Inc.

Research on AJAX Security and Solution.

Authors: Wu Kai-Xing Han Xi

Source: Information Computing & Automation (In 3 Volumes) - Proceedings of the International Conference; 2008, Issue 3, p1263-1265, 3p

Subject Terms: AJAX (Web development technology), JSON (Document markup language), GENETIC algorithms, COMPUTER security, PROBLEM solving

A NOVEL FRAMEWORK TO ALLEVIATE DISSEMINATION OF XSS WORMS IN ONLINE SOCIAL NETWORK (OSN) USING VIEW SEGREGATION.

Authors: Chaudhary, P. Gupta, B. B.

Source: Neural Network World; 2017, Issue 1, p5-25, 21p

Subject Terms: CLIENT/SERVER computing, ONLINE social networks, COMPUTER worms

Super Glue Website Comes Unstuck After JavaScript Attack.

Authors: Dunn, John E.

Source: CSO Magazine. Sep2011, Vol. 10 Issue 7, p14-14. 1/3p.

SFC: A Three Layer Smart Phone-Fag-Cloud Framework for Defending Against JavaScript Code Injection Vulnerabilities on OSN

Authors: B. B. Gugta Shashank Gupta

Source: 2018 8th International Conference on Cloud Computing, Data Science & Engineering (Confluence). :860-865

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://eprints.bits-pilani.ac.in/2175/

Remote Scheduler Contention Attacks

Authors: Stefan Gast Jonas Juffinger Lukas Maar et al.

Source: Lecture Notes in Computer Science ISBN: 9783031786754

Subject Terms: FOS: Computer and information sciences, Computer Science - Cryptography and Security, Cryptography and Security (cs.CR)

Access URL: http://arxiv.org/abs/2404.07042

Robust Website Fingerprinting Through the Cache Occupancy Channel

Authors: Shusterman, Anatoly Kang, Lachlan Haskal, Yarden et al.

Index Terms: Computer Science - Cryptography and Security, Computer Science - Machine Learning, text

URL: http://arxiv.org/abs/1811.07153

Method for Detecting Javascript Code Obfuscation based on Convolutional Neural Network.

Authors: Huiqiang Wang Keke Wu Wei Jiang

Source: International Journal of Performability Engineering. Dec2018, Vol. 14 Issue 12, p3167-3173. 7p.

Subject Terms: JavaScript programming language, Malware, Internet security, Personal information management, HTML (Document markup language)

Insider Threat Detection: Exploring User Event Behavior Analytics and Machine Learning in Security Reviews.

Authors: Altuwaijiri, Ruba AlShaher, Hanan

Source: Journal of Cybersecurity & Information Management; 2024, Vol. 13 Issue 2, p171-181, 11p

Subject Terms: MACHINE learning, INFORMATION technology security, DATA analytics, GOVERNMENT information, INFORMATION organization

Detection and prevention of malicious script attacks using behavioral analysis of run-time script execution events

Detection and prevention of malicious script attacks using behavioral analysis of run-time script execution events

Double-Layer Detection Model of Malicious PDF Documents Based on Entropy Method with Multiple Features.

Authors: Song, Enzhou Hu, Tao Yi, Peng et al.

Source: Entropy; Jul2023, Vol. 25 Issue 7, p1099, 19p

Subject Terms: RANDOM forest algorithms, ENTROPY, SUPPORT vector machines, METADATA

Enhancing the Performance of SQL Injection Attack Detection through Probabilistic Neural Networks.

Authors: Alarfaj, Fawaz Khaled Khan, Nayeem Ahmad

Source: Applied Sciences (2076-3417); Apr2023, Vol. 13 Issue 7, p4365, 11p

Subject Terms: ARTIFICIAL neural networks, DEEP learning, SQL, METAHEURISTIC algorithms, FEATURE extraction, HEURISTIC, OPTIMIZATION algorithms

Cyberattack Detection Framework Using Machine Learning and User Behavior Analytics.

Authors: Alshehri, Abdullah Khan, Nayeem Alowayr, Ali et al.

Source: Computer Systems Science & Engineering; 2023, Vol. 44 Issue 2, p1679-1689, 11p

Subject Terms: MACHINE learning, DATA analytics, CYBERTERRORISM, RECURRENT neural networks, FEATURE extraction

DDIML: Explainable detection model for drive-by-download attacks.

Authors: Liu, Xiaole Huang, Cheng Fang, Yong

Source: Journal of Intelligent & Fuzzy Systems; 2022, Vol. 43 Issue 3, p3429-3442, 14p

Subject Terms: FEATURE extraction, DEEP learning, MACHINE learning, RANDOM forest algorithms, MALWARE, WEBSITES