The novel dataset called Linux-APT Dataset 2024 captures Advanced Persistent Threat (APT) attacks along with other latest and sophisticated payloads. Existing datasets lacks latest attacker's techniques and procedures, APTs tactics and configuration to capture maximum Linux log sources to observe the working and behaviour of an APT in a detailed manner. The environment which supported us in capturing the logs is composed of Linux machines and a centralized logging system configured appropriately to captures and detect all possible events and logs for an APT and other complex intrusion. Unlike Microsoft Windows, Linux logging system are investigated enough and usually systems relies on limited log sources but for an APT, all possible log sources should be evaluated and added to completely analyse the behaviour, trajectory, and operation of an APT. To keep the dataset up to date and realistic, recent payloads and APTs are emulated in the environment. A well-known cyber-security framework ‘MITRE ATT&CK’ is utilised to map the behaviour and operation in a generalized manner after capturing the events and logs. This dataset can be used for training and conducting a variety of experiments to build as well as design the solutions for detecting most recent intrusions and APT attacks for Linux System.

Information-Centric Networking (ICN) and Software-Defined Networking (SDN) are both new evolving network architectures that are receiving a lot of attention from researchers. ICN is a Future Internet architecture which tries to transform the current Internet architecture from location- and host-centric to content-centric, where obtaining requested data is achieved by the contents’ names regardless of the location of the data. From another angle, SDN is considered a new Internet architecture that moves the control plane management from network devices to a centralized controller. The SDN controller enhances network robustness and improves its scalability, reliability, and flexibility. The integration of ICN and SDN results in massive benefits, where SDN enhances ICN networks’ manageability, controllability, and functionality, and ICN reshapes the SDN design to make it compatible with ICN features and to enhance ICN in terms of network caching, routing, mobility, and security.. In this review paper, a comprehensive survey of the issues and challenges of integrating ICN and SDN is presented. Firstly, ICN’s main characteristics are summarized, and a short comparison between different ICN architectures is completed. Then, the key details of SDN are highlighted. Moreover, the motivation and benefits of merging ICN with SDN are summarized and the state-of-the-art work on merging ICN and SDN is reviewed and classified from several aspects. Finally, several open research issues are highlighted.

This paper presents a system to monitor pick-up/drop-off of school children to enhance the safety of children during the daily transportation from and to school. The system consists of two main units, a bus unit and a school unit. The bus unit the system is used to detect when a child boards or leaves the bus. This information is communicated to the school unit that identifies which of the children did not board or leave the bus and issues an alert message accordingly. The system has a developed web-based database-driven application that facilities its management and provides useful information about the children to authorized personal. A complete prototype of the proposed system was implemented and tested to validate the system functionality. The results show that the system is promising for daily transportation safety.

Security plays an important role in the ability to deploy and retrieve trustworthy data from a wireless sensor network. Location verification is an effective first line of defense against attacks which take advantage of a lack, or compromise, of location information. In this work, a probabilistic approach to location verification in dense sensor networks is proposed. The proposed Probabilistic Location Verification (PLV) algorithm leverages the probabilistic dependence of the number of hops a broadcast packet traverses to reach a destination and the Euclidean distance between source and destination. A small number of verifier nodes determine the plausibility of the claimed location, which is represented by a real number between zero and one. Using the calculated plausibility metric, it is possible to create arbitrary number of trust levels in the location claimed. Simulation studies verify that the proposed solution provides high performance in face of various types of attacks.