Results 21 to 30 of about 22,083 (256)

Memory access integrity: detecting fine-grained memory access errors in binary code

Cybersecurity, 2019
As one of the most notorious programming errors, memory access errors still hurt modern software security. Particularly, they are hidden deeply in important software systems written in memory unsafe languages like C/C++. Plenty of work have been proposed
Wenjie Li, Dongpeng Xu, Wei Wu, Xiaorui Gong, Xiaobo Xiang, Yan Wang, Fangming gu, Qianxiang Zeng   +7 more
doaj   +1 more source

Nepenthes Honeypotsbased Botnet Detection

Journal of Advances in Information Technology, 2012
The numbers of the botnet attacks are increasing day by day and the detection of botnet spreading in the network has become very challenging. Bots are having specific characteristics in comparison of normal malware as they are controlled by the remote ...
Sanjeev Kumar, Rakesh Sehgal, Paramdeep Singh, Ankit Chaudhary   +3 more
doaj   +1 more source

Increasing the cyber resilience of SMEs through open-source solutions and international collaboration

Bulletin of "Carol I" National Defense University
In an increasingly digitalized world, small and medium-sized enterprises (SMEs) are exposed to significant cyber threats due to limited security resources.
Ionica ȘERBAN, Florentina-Mihaela CURCĂ, Robert-Ștefan ȘANDRU   +2 more
doaj   +1 more source

Hierarchical Physical‐Cyber Encryption via Metasurface‐Encoded Holographic Keys

Advanced Science, EarlyView.
ABSTRACT Physical‐layer encryption based on metasurfaces has emerged as a promising alternative to conventional algorithmic cryptography by embedding security into physical processes. However, most existing metasurface‐based encryption schemes operate within single‐stage or static frameworks, where correct physical illumination directly reveals the ...
Zhen Liu, Changhong Dai, Wei Zhu, Ruisheng Yang, Bohan Zhang, Lei Zhang, Bobo Du, Shengxiang Wang, Guangwei Hu   +8 more
wiley   +1 more source

VDCM: A Data Collection Mechanism for Crowd Sensing in Vehicular Ad Hoc Networks

Big Data Mining and Analytics, 2023
With the rapid development of mobile devices, aggregation security and efficiency topics are more important than past in crowd sensing. When collecting large-scale vehicle-provided data, the data transmitted via autonomous networks are publicly ...
Juli Yin, Linfeng Wei, Zhiquan Liu, Xi Yang, Hongliang Sun, Yudan Cheng, Jianbin Mai   +6 more
doaj   +1 more source

Sustained Self‐Powered Real‐Time Vibration Monitoring Through Integrated Nonlinear Harvesting and Energy‐Aware Wireless Sensing

Advanced Science, EarlyView.
A self‐powered vibration sensing platform integrates a quasi‐zero‐stiffness piezoelectric harvester, synchronized electric charge extraction, energy management, and wireless ADC acquisition. Ambient vibration is simultaneously harvested as energy and digitized as information, enabling sustained real‐time waveform monitoring without external power.
Yizhou Li, Ye Zhang, Hao Tang, Yaozi Zheng, Yawei Wang, Chaoyang Zhao, Liwei Dong, Dewen Yu, Junlei Wang, Chunbo Lan, Guobiao Hu   +10 more
wiley   +1 more source

YOLOAL: Focusing on the Object Location for Detection on Drone Imagery

IEEE Access, 2023
Object detection in drone-captured scenarios, which can be considered as a task of detecting dense small objects, is still a challenge. Drones navigate at different altitudes, causing significant changes in the size of the detected objects and posing a ...
Xinting Chen, Wenzhu Yang, Shuang Zeng, Lei Geng, Yanyan Jiao   +4 more
doaj   +1 more source

Resource‐Aware Contrastive Scattering Meta‐Learning for Efficient Few‐Shot Acoustic Anomaly Detection

Advanced Intelligent Systems, EarlyView.
This paper introduces a resource‐aware Contrastive Scattering Meta‐Learning (CSML) framework for acoustic anomaly detection. By leveraging training‐free wavelet scattering and metric‐based meta‐learning, the model achieves competitive performance with only 50 K learnable parameters—a 98% reduction compared to state‐of‐the‐art frameworks—enabling ...
Rami Zewail, Bassem Mokhtar
wiley   +1 more source

Cyber Security Situational Awareness [PDF]

2016 IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData), 2016
Situational awareness in the context of cyber security has been well recognized. In a time cyber-attacks getting increasingly sophisticated and making potentially disruptive impacts, it becomes apparent that a holistic approach is fundamentally needed to handling security data effectively. Cyber Security Situational Awareness (CSSA) emerges timely.
openaire   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source