Traditional methods like passwords and PINs are increasingly vulnerable, making continuous authentication essential. Behavioral biometrics such as mouse dynamics provide a non-intrusive way to verify users through their unique interaction patterns. This study proposes a secure and privacy-preserving framework for mouse...
K. Sasikumar, Sivakumar Nagarajan· Frontiers in Artificial Inte...· 0 citations
The proliferation of connected sensors, edge devices, and cloud services has made smart infrastructure cybersecurity threats more prevalent than solutions. In this research, we see how ML models may prevent and detect abnormalities, malware, insider attacks, and distributed denial of service (DDoS). One way to decrease...
Ramanan Sathiaseelan, K. Manikandan· Computing, Communication, an...· 0 citations
The excessive proliferation of Internet of Things (IoT) ecosystems, which are characterized by the high number of devices, transient data generation, and constantly changing cyber threats have presented serious challenges to digital forensic investigations. To solve these problems, Adaptive Forensic Intelligence Model...
Meenakshi Gupta, R. Udaya Bharathi, Subarno Bhattacharyya et al.· Advances in wireless technol...· 0 citations
The Controller Area Network (CAN) is highly susceptible to malicious attacks due to its lack of encryption and authentication mechanisms, leading to the necessity of intrusion detection systems (IDS). However, centralized data processing not only incurs high storage costs and bandwidth overhead but also aggravates priv...
Gaoxiang Lan, Yingqing Wang, Yutao Bie et al.· Journal of Information Secur...· 0 citations
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As AI adoption grows in personal data management and healthcare, privacy risks from data breaches escalate. Traditional models rely on sensitive data for training, exposing users to vulnerabilities. Blockchain offers a decentralized, immutable solution with encryption and no central authority to mitigate these issues....
Samreen Khan, Faiz Ahmed Khan, Ram Om Sai Chethana· Computing, Communication, an...· 0 citations
Dam safety and health monitoring are critical to ensuring the long-term reliability of water infrastructure, given the complex behavior of dams and the potentially severe consequences of failure. To evaluate current monitoring approaches, this study employs a structured literature review methodology that includes syste...
This narrative review synthesizes the scientific and societal rationale for greater openness with the ethical, legal, and governance constraints that shape what "open" can realistically mean in healthcare, and proposes a pragmatic ethical orientation for healthcare open data.
A. Msheik, Ruben Peralta, Zeinab Al Mokdad et al.· Health Care Analysis· 0 citations
Rising natural calamities demand intelligent disaster management beyond traditional reactive methods. IoT-ML integration revolutionizes this by enabling real-time environmental monitoring via sensors, drones, and satellites tracking temperature, humidity, air quality, seismic activity, and water levels. ML algorithms—d...
The chapter tries to resolve this emerging problem of machine learning-based smart heterogeneous networks, and cybersecurity by creating a multi-layered security infrastructure which is scalable to detect and react to security attacks in real-time. It proposes a multi-modal deep learning (CNNLSTM), adaptive control by...
Harish Reddy Gantla, N. Thangadurai, Manikandan Hariharan et al.· Advances in wireless technol...· 0 citations
The combination of artificial intelligence (AI) analytics with the Internet of Things (IoT) allows smart retailers to track customers in real-time using technologies such as radio frequency identification (RFID), smart shelves, and beacons. Optimizing inventories, making purchase predictions, and providing personalized...
In Internet of Things-based smart healthcare, while medical data sharing and model training are driving industry development, sensitive patient information is easily stolen and misused, and traditional data processing models struggle to balance security and usability. This research aims to construct an intelligent priv...
Ningjian Hou, Shichao Quan, Kexin Ye et al.· International Journal of Com...· 0 citations
Prabha Jha used her experience with MIT Open Learning’s program for senior executives to develop AI solutions for her employer, Verizon, and to write a book.
Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.
