Results 11 to 20 of about 10,265 (253)

Dynamic heterogeneous redundancy-based endogenous security and safety for connected automated vehicles: Preliminary test results and assessment

Security and Safety
Safety and security are crucial for Connected and Automated Vehicles (CAVs), as they affect vehicle performance, passenger safety, and resilience to cyber threats.
Liu Qi, Wang Zhenkai, Wang Peng, Li Yufeng, Zheng Xiangyu, Tang Peng   +5 more
doaj   +3 more sources

Problems and solutions regarding generalized functional safety in cyberspace

Security and Safety, 2022
The common endogenous security problems in cyberspace and related attack threats have posed subversive challenges to conventional theories and methods of functional safety.
Wu JiangXing
doaj   +2 more sources

The impact of adoption of milk safety practices on food and nutrition security: Evidence from smallholder dairy farmers in Ethiopia

Research in Globalization, 2023
Despite the progress observed over the past decades, food and nutritional insecurity remain the prominent challenges in Ethiopia. In this respect, improved farming practices and productivity-enhancing agricultural technologies have been identified as ...
Bekele Wegi Feyisa, Jema Haji, Alisher Mirzabaev   +2 more
doaj   +2 more sources

Development paradigms of cyberspace endogenous safety and security [PDF]

Science China Information Sciences, 2022
Jiangxing Wu
exaly   +3 more sources

Security & safety issues and endogenous security for intelligent connected vehicles

Dianxin kexue
With the rapid development of vehicle-road-cloud integrated system (VRCIS), physical space and cyber space were deeply intertwined, resulting in a brand-new transformation of automobile safety.
JIA Hongying, LI Yufeng
doaj   +1 more source

Harnessing dynamic heterogeneous redundancy to empower deep learning safety and security

Security and Safety
The rapid development of deep learning (DL) models has been accompanied by various safety and security challenges, such as adversarial attacks and backdoor attacks.
Zhang Fan, Chen Xi, Huang Wei, Wu Jiangxing, Zhang Zijie, Zhou Chenyu, Li Jianpeng, Peng Ziwen, Guo Wei, Yang Guangze, Miao Xinyuan, Huang Ruiyang, Du Jiayu   +12 more
doaj   +2 more sources

Encrypted Traffic Classification Method Based on Multi-Layer Bidirectional SRU and Attention Model [PDF]

Jisuanji gongcheng, 2022
The encrypted traffic classification method based on traditional Recurrent Neural Network(RNN) typically have poor parallelism and low efficiency.To quickly and accurately classify encrypted traffic, a classification method for encrypted traffic based on
ZHANG Surong, BU Youjun, CHEN Bo, SUN Chongxin, WANG Han, HU Xianjun
doaj   +1 more source

Real-time Anomaly Detection Framework via System Calls Based on Integrated Learning [PDF]

Jisuanji gongcheng, 2023
Anomaly detection based on system calls data cannot complete the synchronous perception task of intrusion behavior within the process lifecycle，and there is a problem of low real-time anomaly detection accuracy.
CHEN Zhonglei, YI Peng, CHEN Xiang, HU Tao
doaj   +1 more source

A strategy within the context of the Arab Spring to strenghten Portuguese energy security regarding import of hydrocarbon from Algeria [PDF]

Janus.net, 2014
Energy plays a crucial role in the survival of the current civilizational model and the dispute regarding its control present a constant challenge to State security. Portugal is highly dependent on other countries in terms of energy supply.
Emanuel H. dos S. Silva Sebastião
doaj   +2 more sources

On challenges of AI to cognitive security and safety

Security and Safety, 2023
Recent advances in deep learning have led to disruptive breakthroughs in artificial intelligence (AI), fueling the jump in ChatGPT-like large language models (LLMs).
Huang Ruiyang, Zheng Xiaoqing, Shang Yuting, Xue Xiangyang   +3 more
doaj   +1 more source