arXiv subjects

Chaouki Chemam

Publications and source records attributed to Chaouki Chemam.

3 recordsLinked to original sources

arXiv2026

Hybrid Secure Routing in Mobile Ad-hoc Networks (MANETSs)

Because wireless communication is dynamic and has inherent defects, routing algorithms are crucial in the quickly evolving field of mobile ad hoc networks, or MANETs This study looks at the many security problems that MANETs encounter. These problems, which pose major risks to network performance, include flooding, sinkholes, and black hole assaults to address these challenges. We introduce the Hybrid Secure Routing Protocol (HSRP), which enhances the security and robustness of routing operations by fusing trust-based tactics with cryptographic approaches. HSRP combines the strengths of both proactive and reactive routing strategies, enabling it to adapt dynamically to evolving network conditions while protecting against malicious activities. We use extensive simulations with Network Simulator (NS-2) and a thorough review of the literature to assess HSRP's performance under different attack scenarios. The results show that, in comparison to traditional protocols, HSRP increases throughput and decreases latency, hence improving routing efficiency while simultaneously bolstering data transfer security. With uses in vital domains including military operations and disaster response, this study provides a scalable and workable approach for safe routing in MANETs. The findings highlight how crucial it is to include cutting-edge security features in routing protocol design to guarantee the dependability and integrity of MANETs in practical situations.

cs.NI↗

arXiv2026

Applications of Secure Multi-Party Computation in Financial Services

The concept of Secure Multi-Party Computation (SMPC) is a cryptographic service that allows generating analysis of sensitive data related to finance under the collaboration of all stakeholders without violating the privacy of the research participants. This article shows the increasing significance of privacy protection in the contemporary financial services, where various stakeholders should comply with stringent security and regulatory standards. It discusses the main issues of scalability, computational efficiency, and working with very large datasets, and it identifies the directions of future research to make SMPC protocols more practical and efficient. The results highlight the possibility of SMPC to facilitate safe, transparent, and trustful financial transactions in an ecosystem that is becoming more digital.

cs.CR↗

arXiv2026

Exploring the Integration of Differential Privacy in Cybersecurity Analytics: Balancing Data Utility and Privacy in Threat Intelligence

To resolve the acute problem of privacy protection and guarantee that data can be used in the context of threat intelligence, this paper considers the implementation of Differential Privacy (DP) in cybersecurity analytics. DP, which is a sound mathematical framework, ensures privacy by adding a controlled noise to data outputs and thus avoids sensitive information disclosure even with auxiliary datasets. The use of DP in Security Information and Event Management (SIEM) systems is highlighted, and it can be seen that DP has the capability to protect event log and threat data analysis without interfering with the analytical efficiency. The utility versus privacy trade-offs linked to the maximization of the epsilon parameter, which is one of the critical components of DP mechanisms, is pointed out. The article shows the transformative power of DP in promoting safe sharing of data and joint threat intelligence through real-world systems and case studies. Finally, this paper makes DP one of the key strategies to improve privacy-preserving analytics in the field of cybersecurity.

cs.CR↗