Results 41 to 50 of about 21,088 (211)

Detection of Malicious Activity in Encrypted Traffic Presented as a Time Series

Современные информационные технологии и IT-образование, 2022
At the moment, traffic on the Internet is mostly encrypted; malware is also increasingly using encryption. To scan encrypted traffic for malicious activity, its metadata is used.
Marina Polyanskaya
doaj   +1 more source

Deep Learning Approach for Detecting Malicious Activities Over Encrypted Secure Channels

IEEE Access, 2021
Nowadays, most cyber attackers exploit secure communication channels to hide malicious activities and imitate the behaviors of a legitimate user. These attacks over a secure channel make networked systems more vulnerable to new threats and increase the ...
Jiwon Yang, Hyuk Lim
doaj   +1 more source

Malicious Encrypted Traffic Detection Method Based on Conversation Statistical Encoder Model [PDF]

Jisuanji kexue
With the development and widespread application of network technology,encrypted traffic has become a key technology for protecting user privacy.However,malware and attackers also use encrypted traffic to hide their behaviors and evade traditional network
GONG Siyue, LIU Hui, WANG Baohui
doaj   +1 more source

Why Autonomous Vehicles Are Not Ready Yet: A Multi‐Disciplinary Review of Problems, Attempted Solutions, and Future Directions

Journal of Field Robotics, EarlyView.
ABSTRACT Personal autonomous vehicles can sense their surrounding environment, plan their route, and drive with little or no involvement of human drivers. Despite the latest technological advancements and the hopeful announcements made by leading entrepreneurs, to date no personal vehicle is approved for road circulation in a “fully” or “semi ...
Xingshuai Dong, Massimiliano Cappuccio, Fady Alnajjar, Luqman Ali, Hamad Al Jassmi, Essam Debie, Milad Ghasrikhouzani, Alessandro Lanteri, Tate McGregor, Oleksandra Molloy, Alice Plebe, Michael Regan, Eduardo Sandoval, Dongmo Zhang   +13 more
wiley   +1 more source

An Improved DoH Traffic Classification Method for XGboost

Journal of Harbin University of Science and Technology, 2023
Encrypted traffic has become the main traffic in the Internet, and its classification has always been one of the research hotspots.Aiming at the problems of accurate identification of DoH(DNS-over-HTTPS) traffic in the current network, slow processing
LI Bo, WEN Xueyan, XU Kesheng, ZHAO Yonghui   +3 more
doaj   +1 more source

Advanced Hybrid Techniques for Cyberattack Detection and Defense in IoT Networks

SECURITY AND PRIVACY, Volume 8, Issue 2, March/April 2025.
ABSTRACT The Internet of Things (IoT) represents a vast network of devices connected to the Internet, making it easier for users to connect to modern technology. However, the complexity of these networks and the large volume of data pose significant challenges in protecting them from persistent cyberattacks, such as distributed denial‐of‐service (DDoS)
Zaed S. Mahdi, Rana M. Zaki, Laith Alzubaidi   +2 more
wiley   +1 more source

Malicious Traffic Classification via Edge Intelligence in IIoT

Mathematics, 2023
The proliferation of smart devices in the 5G era of industrial IoT (IIoT) produces significant traffic data, some of which is encrypted malicious traffic, creating a significant problem for malicious traffic detection. Malicious traffic classification is
Maoli Wang, Bowen Zhang, Xiaodong Zang, Kang Wang, Xu Ma   +4 more
doaj   +1 more source

Lifecycle‐Based Governance to Build Reliable Ethical AI Systems

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Artificial intelligence (AI) systems represent a paradigm shift in technological capabilities, offering transformative potential across industries while introducing novel governance and implementation challenges. This paper presents a comprehensive framework for understanding AI systems through three critical dimensions: trustworthiness ...
Maikel Leon
wiley   +1 more source

Identification technique of cryptomining behavior based on traffic features

Frontiers in Physics, 2023
Recently, the growth of blockchain technology and the economic benefits of cryptocurrencies have led to a proliferation of malicious cryptomining activities on the internet, resulting in significant losses for companies and institutions.
Lijian Dong, Zhigang Li, Xiangrong Li, Xiaofeng Wang, Yuan Liu   +4 more
doaj   +1 more source

Data privacy model using blockchain reinforcement federated learning approach for scalable internet of medical things

CAAI Transactions on Intelligence Technology, EarlyView.
Abstract Internet of Medical Things (IoMT) has typical advancements in the healthcare sector with rapid potential proof for decentralised communication systems that have been applied for collecting and monitoring COVID‐19 patient data. Machine Learning algorithms typically use the risk score of each patient based on risk factors, which could help ...
Chandramohan Dhasaratha, Mohammad Kamrul Hasan, Shayla Islam, Shailesh Khapre, Salwani Abdullah, Taher M. Ghazal, Ahmed Ibrahim Alzahrani, Nasser Alalwan, Nguyen Vo, Md Akhtaruzzaman   +9 more
wiley   +1 more source