| Abstract: | Cyber threat became one of the most serious problem for both economics and national security in the 21st century. Therefore, we need a focused research on developing efficient techniques, technologies and tools to deal with this stimulating problem. The growing dimension and complexity of spatiotemporal data generated on daily basis and from variety of sources and its distribution over all types of networks makes it a challenge to protect it from theft or damage. Cyber security is the science that concerns on protecting these big data from disruption or misused. This special issue is provided to explore the complexity of this problem and to present possible number of solutions.
L. Juleen and T. Kiong in their article presented a method to enhance the security of the transmitted data over the Wireless Local Area Network. They provided a data security dynamic design algorithm that has the ability to automatically change the configuration of both encoder and decoder based on a few bits of initial input data to the encoder. There new algorithm strengthens the overall security of the transmitted data over the wireless links. Vulnerability analysis of Extensible Authentication Protocol (EAP) DoS Attack over wireless networks is presented by Malekzadeh et. al. Authors presented an experimental framework to demonstrate and quantify possible flooding attacks using unprotected EAP frames against wireless communications. Results show that such attacks can easily launch, and cause serious service disruption to compromise network availability. A professional comparison of decision tress, artificial neural network and support vector machine for network intrusion detection is presented by A. Sheta and A. Alamleh. Intrusion Detection Systems (IDSs) is one of the main solutions for computer and network security. We need IDS to identify the un-authorized access that attempt to compromise confidentiality, integrity or availability of computer or computer network. In this research, author attempted to provide new models for intrusion detection (ID) problem using veracious data mining techniques. The proposed models were capable of reducing the complexity while keeping acceptable detection accuracy. The Denial Of Service (DOS) attacks are one of the very serious networks attach. M. Salem et. al. Presented a new security technique is proposed that aims to detect the DOS attacks in WLANs and further prevent the detected attackers, in the future, from accessing the network. They measure the Probability of Denied Service (PDS) with respect to the number of attacks and the maximum number of connections that access point allows. These results show the effectiveness of the proposed technique in securing the WLAN against the DOS attacks. An analytical view on possible techniques for the identification of information systems threats sources is presented by A. Al-Zubi. He proposed a new approach for identifying the source of threats and the proposed actions to be taken against. A framework called Intrusion Detection System Using Distributed Agents (IDSUDA) was built by A. Alim et. al. This framework is extendable in its capabilities and could be enhanced to meet future challenges. A comparison of Novel architectures of VHDL Implementation of the SAFER+ encryption algorithm and Pipelined AES algorithm is also presented in this special issue by D. Sharmila and R. Neelaveni. It was found that the proposed SAFER+ architecture has better data throughput and frequency than the pipelined AES algorithm.
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