Computer Network Security Issues Research Articles

Analysis of Internet of Things Computer Network Security and Remote Control Technology

The Internet of Things system is a product of the combination of information technology in the rapid development of computer technology, and it is an important foundation for the development of the information age. But we cannot ignore computer network security issues in the application of the Internet of Things. In order to effectively control the security issues of the Internet of Things, we have to study and analyze the potential security risks in the current Internet of Things computer network. In addition, we should explore reliable network security control measures and computer remote control technology. Only in this way can the further development of the IoT system be promoted.

An Exhaustive Research on the Application of Intrusion Detection Technology in Computer Network Security in Sensor Networks

Intrusion detection is crucial in computer network security issues; therefore, this work is aimed at maximizing network security protection and its improvement by proposing various preventive techniques. Outlier detection and semisupervised clustering algorithms based on shared nearest neighbors are proposed in this work to address intrusion detection by converting it into a problem of mining outliers using the network behavior dataset. The algorithm uses shared nearest neighbors as similarity, judges whether it is an outlier according to the number of nearest neighbors of a data point, and performs semisupervised clustering on the dataset where outliers are deleted. In the process of semisupervised clustering, vast prior knowledge is added, and the dataset is clustered according to the principle of graph segmentation. The novelty of the proposed algorithm lies in outlier detection while effectively avoiding the dependence on parameters, thus eliminating the influence of outliers on clustering. This article uses real datasets: lypmphography and glass for simulation purposes. The simulation results show that the algorithm proposed in this paper can effectively detect outliers and has a good clustering effect. Furthermore, the experimentation reveals that the outlier detection‐based SCA‐SNN algorithm has the best practical effect on the dataset without outliers, clearly validating the clustering performance of the outlier detection‐based SCA‐SNN algorithm. Furthermore, compared to the other state‐of‐the‐art anomaly detection method, it was revealed that the anomaly detection technology based on outlier mining does not require a training process. Thus, they overcome the current anomaly detection problems caused due to incomplete normal patterns in training samples.

Analysis of Computer Network Security Issues in Cloud Computing Environment

Aiming at the computer network security issues in the cloud computing environment, this article outlines the great prospects of cloud computing technology and its significance, and respectively dissects the hidden dangers of computer network security problems under the use of cloud computing and the corresponding solutions. Computer network security issues in computing contribute to the smooth and long-term development of computer network security.

Exploring students’ experiences in using a physical laboratory for computer networks and data security

ABSTRACTData and computer network security issues have become increasingly important in professional engineering practice, requiring educated engineers capable to solve the real security problems. This strongly emphasize the importance of including courses dedicated to data and computer network security in information technology curricula, and providing real first‐hands experiences with physical equipment to students. This article presents a qualitative study aimed at exploring students’ experiences in a physical laboratory for computer network and data security. Identified experiences were organized into a conceptual framework, providing a base for improvement of learning materials and the laboratory. Benefits and implications for students, lecturers, and researchers are also discussed. © 2017 Wiley Periodicals, Inc. Comput Appl Eng Educ 25:290–303, 2017; View this article online at wileyonlinelibrary.com/journal/cae; DOI 10.1002/cae.21797

Path-Disruption Games: Bribery and a Probabilistic Model

Path-disruption games, recently introduced by Bachrach and Porat, are coalitional games played on graphs where one or multiple adversaries each seeks to reach a given target vertex from a given source vertex, while a coalition of agents seeks to prevent that from happening by blocking every path from the source to the target for each adversary. These coalitional games model, for instance, security issues in computer networks. Inspired by bribery in voting, we introduce the notion of bribery for path-disruption games. We analyze the question of how hard it is to decide whether the adversaries can bribe some of the agents such that no coalition will form that blocks all paths for them. We show that this problem is NP-complete for a single adversary and complete for Σ2P=NPNP${\Sigma }^{\mathrm {P}}_{2} = \text {NP}^{\text {NP}}$, the second level of the polynomial hierarchy, for the case of multiple adversaries. We also expand the model by allowing uncertainty about the targets: In probabilistic path-disruption games, we assign to each vertex the probability that an adversary wants to reach it, and we study the complexity of problems related to common solution concepts (such as the core and the ź-core) and other properties of such games.

Attacks and Defenses in the Data Plane of Networks

Security issues in computer networks have focused on attacks on end systems and the control plane. An entirely new class of emerging network attacks aims at the data plane of the network. Data plane forwarding in network routers has traditionally been implemented with custom-logic hardware, but recent router designs increasingly use software-programmable network processors for packet forwarding. These general-purpose processing devices exhibit software vulnerabilities and are susceptible to attacks. We demonstrate-to our knowledge the first-practical attack that exploits a vulnerability in packet processing software to launch a devastating denial-of-service attack from within the network infrastructure. This attack uses only a single attack packet to consume the full link bandwidth of the router's outgoing link. We also present a hardware-based defense mechanism that can detect situations where malicious packets try to change the operation of the network processor. Using a hardware monitor, our NetFPGA-based prototype system checks every instruction executed by the network processor and can detect deviations from correct processing within four clock cycles. A recovery system can restore the network processor to a safe state within six cycles. This high-speed detection and recovery system can ensure that network processors can be protected effectively and efficiently from this new class of attacks.