Sb1386: One Year Later

In the context of information security, the aesthetics and data privacy security of multinational children’s songs are studied. The research collects the data of foreign children’s songs, and on the basis of the collected data, the mathematical model of the children’s song text is constructed by using a random matrix. An industry consisting of various media entities that disseminate information is analyzed. In addition, vocal performance is used to improve children’s aesthetic ability and comprehensive quality. An efficient information hiding scheme based on the random matrix is proposed. Furthermore, by establishing a random matrix to optimize the information scheme hidden in the multinational children’s songs, the textual expression efficiency of children’s songs is improved. The results reveal that when the model is iterated for 200 times, the traditional algorithm has only a recognition accuracy of 0.73 for children’s songs, and the recognition accuracy of the convolution neural network (CNN) model can reach 0.76, while the proposed improved deep neural networks (DNN) algorithm model has the best recognition accuracy, which can reach 0.80. It explores how to better meet children’s aesthetic and cultural needs from the perspective of information security by optimizing the semantic indexing algorithm of random matrix mapping elements. Through the performance test of the algorithm, on account of reducing the time complexity of the algorithm, the classification accuracy of children’s song text can be effectively improved. This exploration has practical reference value for cultivating children’s comprehensive quality and aesthetic ability.

With the expansion of applications of unmanned aerial vehicles (UAVs), maintaining the security of flight ad hoc networks (FANETs) attracts scholars' attention. However, features of FANETs, which are different from other Ad Hoc networks, increase the difficulty of security defense. Intrusion detection system (IDS) is a representative of common passive defense, which detects malicious nodes in FANETs by analyzing behaviors of nodes. From the perspective of information security, attacks can be divided into confidentiality attack, integrity attack, and availability attack. Among them, integrity attack is the most frequently occurring attacks, so picking it as the basis of classification, all IDSs can be divided into three types: (1) IDS based on integrity attacks, (2) IDS based on integrity and availability attacks, and (3) IDS based on integrity, availability, and confidentiality attacks. For each type, this chapter lists some typical IDSs, 11 in total, and elaborates on their detection mechanisms. Then, from the dimensions of time, scenario, technology, and attacks, these IDSs are compared comprehensively. Finally, to figure out an effective IDS could consider which indicators, this chapter summarizes the metrics that are adopted to evaluate the performance of IDSs.

Integrated sensing and communication (ISAC) has recently emerged as a candidate 6G technology, aiming to unify the two key operations of the future network in a spectrum/energy/cost-efficient way. ISAC systems communicate and sense for targets using a common waveform, a common hardware platform, and ultimately the same network infrastructure. Nevertheless, the inclusion of information signaling in the probing waveform for target sensing raises challenges from the perspective of information security. At the same time, the sensing capability incorporated in ISAC transmission offers unique opportunities to design secure ISAC techniques. This overview article discusses these unique challenges and opportunities for the next generation of ISAC networks. We first briefly discuss the fundamentals of waveform design for sensing and communication. Then we detail the challenges and contradictory objectives involved in securing ISAC transmission, along with state-of-the-art approaches to ensure security. We then identify the new opportunity of using the sensing capability to obtain knowledge target information as an enabling approach against the known weak-nesses of PHY security. Finally, we illustrate some low-cost secure ISAC architectures, followed by a series of open research topics. This family of sensing-aided secure ISAC techniques brings new insight on providing information security, with an eye on robust and hardware-constrained designs tailored for low-cost ISAC devices.

Details about failures of complex and well-implemented information-based attacks on systems are extremely difficult to obtain. However, here the authors examine a real-life analogue - an information attack on a highly complex security system, that of the Colombian guerrilla group FARC. This operation included a man-in-the-middle attack, targeted denial of service (DoS), and authentication subversion. The attack on FARC's communications structure is interesting not only because of its electronic and analog components, but also because it was a life or death matter. The authors examine the hostages' liberation from an information security perspective, compiling data from several Colombian newspapers and magazines and using the most accepted version of the events.

The Internet of Things (IoT) has gradually become a typical scenario for the emerging Integrated Sensing and Communication (ISAC), which brings in significant convenience, but also security challenges, especially in symbiotic cases. This work discusses the issues in IoT networks from the perspectives of cryptographic technologies and physical layer. We also highlight the benefits that the integration of Integrated Sensing and Symbiotic Communication (ISASC)-enabled IoT and 6G key technologies can provide. A case study is then presented to demonstrate the advantages of Orthogonal Time Frequency Space (OTFS) in sensing within Non-Terrestrial Networks (NTN) with high-mobility. Finally, we summarize the potential future works for ISASC-enabled IoT networks and outline several open issues.

Realization of efficient light-light control is of great technological and practical importance, from both energy and information security perspective. We show that significant four wave mixing efficiency enhancement is viable in the highly nonlinear fiber with engineered longitudinal zero-dispersion wavelength. Dynamic measurement results confirm feasibility of controlling a watt-strong beam by few-photons in the dispersion-engineered parametric device. This method represents an exceptional new avenue for realization of devices capable of operating at a few-photon level.

News services and information gathering services are increasingly relying on automated processes. As information sources are unlimited and often unreliable, it is important from an information security perspective that services using artificial intelligence to process information are able to draw and present reliable conclusions. This Chapter examines if and how exclusive rights in copyright law restrict data access for training algorithms for the purpose of machine learning. Because access to huge amounts of data is necessary to train algorithms to develop high quality artificial intelligence services, the rights of authors to individual works as well as rights in collections of works - database rights and publisher's rights - must be cleared. The Chapter discuss the role of copyright law in striking a balance between right holders and AI developers and how public interests can be included in the balance. The discussion plays into the larger policy debate: whether the role of intellectual property rights is developing from incentive mechanisms to control mechanisms.

Study on Development of Framework of Company Classification in Information Security Perspective

From the perspective of optical information security, we demonstrate that conventional phase retrieval algorithms, such as the Gerchberg–Saxton algorithm, can be still valid when extended from the Fourier transform domain into the fractional Fourier transform (FRFT) domain. Based on this extension, we propose a method of known-plaintext attack (KPA) on double random phase encoding in the fractional Fourier transform domain (DRPE-FRFT). With this attack, an opponent can access two encryption phase keys with the help of the phase retrieval algorithm in the FRFT domain, and meanwhile obtain the two FRFT order keys by using an exhaustive search. This indicates that the optical encryption scheme based on the DRPE-FRFT scheme is vulnerable to KPA due to the nature of the linearity of FRFT. The validity of this attack is verified by numerical simulations.

Patching the Patchwork: Appraising the EU Regulatory Framework on Cyber Security Breaches

With the continuous development and upgrading of Intelligent Connected Vehicles (ICV), the on-board network communication of intelligent connected vehicles has been gradually transformed from the traditional CAN bus to the complex on-board communication network such as CAN-FD, FlexRay and on-board Ethernet. However, while the complex network architecture brings the communication performance greatly improved, it also brings the hidden cyber security risk. This paper mainly studies the security of different buses from the perspective of vehicle information security, proposes the protection method of CAN bus and vehicle Ethernet, and carries on the protection design verification to them.

For a successful societal deployment of Autonomous Intelligent Systems (AIS), citizen’s trust is crucial. The central theme of this Chapter is formed by the relationship between informational privacy protection, trust and acceptance of autonomous intelligent technology. This contribution is written from a legal perspective. Certain rules of the EU General Data Protection Regulation (GDPR) are analysed that may apply to AIS-solutions. It is investigated to what extent the application of these rules to AIS-solutions may influence citizen’s trust that their informational privacy is well-protected.KeywordsPrivacyTrustAcceptanceAISystems

Comparing the disclosure of public information regarding the dissemination and publication to the public of newly enacted rules, setting Indonesia and the Netherlands as parameters is interesting as the legal cultures of both countries are intertwined and legal perspectives are constantly evolving. Despite differences in the rule of law, both countries have similar regulatory frameworks. This research uses a normative juridical writing method with a literature study to analyze the relationship between good governance and public information disclosure, including definitions, indicators, objectives, and important factors that influence the concept. The aim is to serve as a comparison parameter for a more efficient information disclosure mechanism. In Indonesia, the role of DPRDs is closely related to the issue of public information disclosure, as DPRDs have a dominant role in authority. Meanwhile, in the Netherlands, the local government takes the lead in setting regulations. Nonetheless, both countries emphasize the importance of checks and balances through the establishment of RvD and KIP, to oversee and integrate the aspirations of the community. The results of this study suggest that public information disclosure is important in both Indonesia and the Netherlands, as demonstrated by regulations that prioritize transparency, accountability, public participation, responsiveness, and the rule of law in governance. This commitment to openness aims to bridge the gap between public expectations and government actions. And in conclusion, the harmony between the process of forming regulations involving the DPRD as a representative of the people's voice and information disclosure is interrelated in public services towards the achievement of good governance.

Securing e-Government and e-Voting with an open cloud computing architecture

Society is becoming increasingly more securitized with surveillance technologies having entered a phase of ubiquity, with their components built into many of our daily digital devices. The default state of tracking, monitoring, and recording has fundamentally changed our social and communicative environments. Through the lens of surveillance, everything we do and say can be potentially categorized as a “threat.” Our technological devices become the means by which social control becomes informationalized. A common tool of resistance against these pervasive surveillance practices takes the form of arguing for greater privacy protections to be implemented through information privacy and data protection laws. However, beyond the complexity of the privacy discourse itself, there are diverse information environments not easily parsed by law where the tension between transparency and secrecy complicates privacy practices.
 The main purpose of this article is conceptual. I consider what the practice of anonymity can offer that privacy does not. From a legal perspective, highlighting the nuances between privacy and anonymity helps us to understand the extent to which our speech and behaviors are becoming increasingly more constrained in the digital environment. In cultural and social contexts, privacy and anonymity often connote differing values; privacy is commonly considered a moral virtue, while anonymity is often maligned and associated with criminal or deviant behavior. In contrast to this understanding, I argue that anonymity should be reconsidered in light of the deterioration of privacy considerations as privacy practices are reframed as contractual resources that are co-opted by both the market and the state. Anonymity, more broadly construed as a mode of resistance to surveillance practices, allows for a more flexible, consistent, and collective means of ensuring civil liberties remain intact.