Results 51 to 60 of about 589,125 (203)
Inducible CRISPR/Cas systems in precision oncology: Current applications and future perspectives
Inducible CRISPR/Cas systems enable spatiotemporal genome editing in precision oncology. Chemical, optical, physical, and microenvironmental stimuli provide distinct control strategies. Conditional activation may reduce off‐target exposure and basal nuclease activity.
Ziliang Ding +3 more
wiley +1 more source
The First Thorough Side-Channel Hardware Trojan [PDF]
Hardware Trojans have gained high attention in academia, industry and by government agencies. The effective detection mechanisms and countermeasures against such malicious designs are only possible when there is a deep understanding of how hardware ...
Christof Paar +3 more
core +2 more sources
Targeted modification of hardware trojans
The use of untrusted design tools, components, and designers, coupled with untrusted device fabrication, introduces the possibility of malicious modifications being made to integrated circuits (ICs) during their design and fabrication. These modifications are known as hardware trojans. The widespread use of commercially purchased 3rd party intellectual
Jason R. Hamlet +2 more
openaire +3 more sources
The Influence of Big Data‐Driven Educational Technologies on College Teaching Development
Exploring the impact of big data on college instructors: enhancing teaching, fostering professional growth, and addressing challenges in data adoption and privacy. ABSTRACT The rapid development of big data and mobile Internet technologies has significantly influenced the instructional growth of college instructors. This study investigated how big data
Ling Yu, Wenye Li, Ying Luo
wiley +1 more source
Artificial intelligence‐powered microscopy: Transforming the landscape of parasitology
Abstract Microscopy and image analysis play a vital role in parasitology research; they are critical for identifying parasitic organisms and elucidating their complex life cycles. Despite major advancements in imaging and analysis, several challenges remain. These include the integration of interdisciplinary data; information derived from various model
Mariana De Niz +4 more
wiley +1 more source
ABSTRACT Unarguably, malware and their variants have metamorphosed into objects of attack and cyber warfare. These issues have directed research focus to modeling infrastructural settings and infection scenarios, analyzing propagation mechanisms, and conducting studies that highlight optimized remedial measures.
Chukwunonso Henry Nwokoye
wiley +1 more source
Hardware Trojan Detection in Cryptography IP Cores by Library Encoding Method [PDF]
Security is the primary issue in current internet world through both software and hardware. The ever increase in demand of consumer electronics requires less design cycle.
Penumetcha, Dinesh Varma
core +2 more sources
A hardware Trojan attack protection method for CGRCA configuration bitstream
A protection method based on authentication and encryption hardware security engine is proposed as the reconfigurable device configuration bitstream is vulnerable to hardware Trojan attacks.
Liu Min, Yan Yingjian, Nan Longmei
doaj +1 more source
A Hybrid Transformer–CNN Framework for Semantic Behavioral Modeling in Office Malware Detection
ABSTRACT Office documents have emerged as a prevalent attack vector, with adversaries increasingly embedding executable payloads and malicious macros to evade signature‐based detection mechanisms. To address these challenges, this study presents a hybrid Transformer–CNN semantic behavioral modeling framework for Office malware detection.
Sheikh M. Zeeshan Javed +4 more
wiley +1 more source
ACTIC: A Large Language Model‐Based Method for Threat Intelligence Perception
This paper proposes a study that introduces an automated method for constructing a threat intelligence knowledge graph construction method based on using large language models, named ACTIC. This approach utilises a locally deployed DeepSeek‐32B model and employs, combined with prompt engineering and Low‐Rank Adaptation (LoRA) fine‐tuning, to extract ...
Changcheng Liu, Changheng Yang, Jun Ma
wiley +1 more source

