Current Issue : October-December Volume : 2026 Issue Number : 4 Articles : 5 Articles
The need for secure information exchange is increasingly felt with an exponential rise in the number of small devices often associated with critical processes, which frequently share sensitive data. Recently, 5G networks provided integrated platforms for the connectivity of an enormous number of small devices in the form of Internet of Things (IoT), across diversified and heterogeneous networks. The growth in connectivity is also spreading the threat surface exponentially, requiring tailored security approaches suited to the specific needs of these devices. Compressive sensing (CS) has proven to be an appropriate choice for the security needs of small devices. This research proposes the construction of a single combined measurement matrix built from two discrete chaotic sequences for enhanced randomness in the data. Additionally, a separate chaotic system is used in a novel way to construct orthogonal matrices. The initial values and other parameters of the chaotic systems are calibrated to build considerable diffusion and confusion in the data, thereby enhancing security. Besides, these parameters also serve as keys enabling layered security. The combination of multi-chaotic systems further reinforces the encryption process with enriched coding and heightening security. Both theoretical analysis and simulation suggest that the proposed scheme has significantly improved the overall security, which in particular makes it resilient against known statistical, brute-force and differential attacks. Moreover, the use of CS also significantly improves the transmission efficiency. The proposed scheme is effective in both security enhancement and improving efficiency, particularly for small resource-constrained devices (i.e., IoTs, D2D and sensor networks)....
Quantum secure direct communication, as an important branch of quantum communication, possesses strict information-theoretic security and can achieve secure communication in channel environments with noise interference and eavesdropping threats. As voice communication is the most fundamental and widespread communication method in daily life, guaranteeing its security and efficiency has become an important research topic in current communication technology. One-way quantum secure direct communication technology can build an efficient and reliable security barrier for voice communication services, effectively preventing the leakage of private information in voice communication. This paper proposes a duplex voice communication scheme based on one-way quantum secure direct communication. By adopting a method combining multi-task parallel processing and stream processing, the communication rate and transmission delay performance of the system are significantly improved. Relying on quantum secure direct communication technology and the one-time-key encryption channel within the system, duplex voice communication is achieved securely. The real-time temperature drift compensation algorithm is introduced to ensure the long-term stable operation of the system. At the same time, through the real-time temperature drift prediction mechanism, the strategy selection during the call process is optimized to ensure the quality of the voice communication. To verify the feasibility and performance of this scheme, a one-way quantum secure direct communication duplex voice communication system was built in the laboratory environment, and comprehensive performance indicator tests were conducted. The test results show that the constructed one-way quantum secure direct communication system can fully meet the performance requirements of duplex voice communication. The realization of this system successfully achieves the goal of secure and efficient quantum voice communication, laying an important technical foundation for further expanding the practical application scenarios of quantum communication technology and promoting the industrialization development of quantum communication....
The extended use of Artificial Intelligence (AI) introduces security risks that challenge the existing information security risk management methodologies, such as the ITSRM2, IRAM2, Magerit, Pilar, Verinice and RM Studio. The existing risk assessment methodologies struggle to manage AI-specific threats, including, among others, adversarial/ evasion attacks and data poisoning. In this paper, the authors aim to examine the limitations of the existing risk management methodologies in assessing and mitigating AI security risks. For this purpose, the authors select six (6) widely accepted risk assessment methodologies (i.e., ITSRM2, IRAM2,Magerit, Pilar,Verinice andRMStudio) and examine in detail their potential application to analyze AI systems. Based on the analysis, we describe themes of challenges that the risk analyst would face to adequately evaluate the security risks of an AI system per stage of the risk assessment. For each challenge we also propose specific enhancements to address the shortcomings, such as extension of the list of applicable organizational roles, extension of threats catalogues or mitigation catalogues. Current risk management methodologies do not adequately cover unique aspects related to AI systems’ components, while specific enhancements need to be implemented in order to address them. Strengthening risk assessment methodologies will ensure AI systems or systems that integrate AI components remain secure, transparent, and compliant in the evolving digital landscape. Through the proposed enhancements to the risk management methodologies, the professionals who perform risk assessment will be able to follow structured steps to assess AI systems....
Stimuli-responsive soft materials capable of converting environmental and physiological stimuli into optical and electrical signals are highly attractive for information security, wearable sensing, and personalized healthcare management. Herein, we report biocompatible viologen-crosslinked eutectogels derived from poly(hydroxyethyl acrylate) (poly-HEA) and natural deep eutectic solvent composed of betaine and lactic acid. The eutectogels exhibit high transparency, excellent elasticity, and thermal stability, as well as robust adhesion on various substrates. The dynamic hydrogen-bonding network within the network endows the material with outstanding environmental stability and anti-freezing capability, maintaining stable optical performance under subzero conditions at − 20◦C. The eutectogels exhibit reversible chromic responses to multiple stimuli including electricity, UV light, and temperature. These optical responses enable reversible photopatterning and multilevel information encryption/decryption. We further demonstrate the functions of the eutectogels as a sensitive and stable strain sensor capable of monitoring diverse human motions, and even subtle physiological heartbeat signals. In addition, the strain-induced electrical outputs can also be further translated into Morse code for information transmission....
Cyber-physical systems (CPSs) integrate physical processes and information components through communication networks and are therefore vulnerable to cyber attacks. Opacity is a security property that prevents an adversary from inferring sensitive information from observations, and it has been studied mainly for discrete-event systems. In this paper, we extend this concept to discrete-time piecewise affine (DT-PWA) systems, which constitute an important class of hybrid systems used to model CPSs. In conventional opacity analysis, the result is typically binary, i.e., a system is either opaque or not. For systems with continuous dynamics, however, such a binary characterization may be insufficient, and it is desirable to evaluate the degree of security. To address this issue, we introduce a notion of opacity that incorporates security levels. We first formulate opacity for DT-PWA systems and then derive a necessary and sufficient condition for opacity. Based on this condition, we present a verification method using polytope computations and discuss the interpretation of the proposed notion. Finally, a numerical example is provided to illustrate the effectiveness of the proposed method....
Loading....