Security of Information and Networks

This special issue aims to make people aware and up to date of the innovative research in the area of emerging techniques and methods in security of information and network. The majority of organizations in the commercial and government sectors are relying completely on their computer and network systems. Extensive attacks can cause heavy loss in a few seconds. Therefore, securing their computers, networks, and information is imperative. Based on the importance of security and interest of the researchers, this special issue is focused on attracting good work on innovative methods and techniques in order to address unique security issues which are introduced by new computing paradigms and techniques. This special issue presents the following papers in the most active areas of research in security of information and networks. The brief introduction of the selected papers is provided. O. Tayan et al. proposed the paper " A Hybrid Digital-Signature and Zero-Watermarking Approach for Authenti-cation and Protection of Sensitive Electronic Documents. " This paper addresses the problems and threats associated with verification of integrity, proof-of-authenticity, tamper-detection, and copyright protection for digital-text content. The proposed algorithm was implemented and shown to be robust against undetected content modifications and is capable of confirming proof-of-originality whilst detecting and locating deliberate/nondeliberate tampering. Additionally , enhancements in resource-utilization and reduced redundancies were achieved in comparison to traditional encryption-based approaches. Y. Liu et al., worked on the paper " Network Anomaly Detection System with Optimized DS Evidence Theory " in which a novel network anomaly detection system is proposed with Optimized Dempster-Shafer (ODS) evidence theory and Regression Basic Probability Assignment (RBPA) function. In this model, the authors add weights to each senor to optimize DS evidence theory according to its previous predicted accuracy and RBPA employs sensor's regression ability to address complex network. They proved that this network anomaly detection model has a better detection rate, and RBPA and ODS optimization methods can improve system performance significantly. A. Soleymani et al. proposed the paper " A Chaotic Cryptosystem for Images Based on Henon and Arnold Cat Map. " In this paper, an encryption scheme is presented for securing images based on Arnold cat and Henon chaotic maps. The scheme uses Arnold cat map for bit and pixel-level permutations on plain and secret images, while Henon map creates secret images and specific parameters for the permutations. Both the encryption and decryption processes are explained, formulated, and graphically presented. …