31834649
A Novel Artificial Immune Network Model and Analysis on Its Dynamic Behavior and Stabilities
A novel model of artificial immune network is presented at first, and then a simulative research work is made on its dynamic behaviors. Simulation results show that the limit cycle and chaos may exist simultaneously when four units are in connection, and the network's characteristic has a close relationship with the intensity of suppressor T-cell's function, B-cell's characteristics and transconductance. Besides this, with Liapunov's method, the sufficient conditions for network's stability is studied, especially for the case of system's characteristics under the condition that the helper T-cells appear as a nonlinear function.
33935023
Artificial Immune Strategies Improve the Security of Data Storage
A novel artificial immune strategies based data storage model, called AIS-DS, is proposed for dealing with the problem of resources sharing in a storage area network (SAN). Especially for the multi-user's tasks, this technology has some essential features for ensuring the security and privacy of information and/or data, because a SAN here can be regarded exclusive for each user with its own vaccines (a kind of special codes assigned for this user), and on the other hand, damage or interference to the disk or type to some extent in a local area of SAN, will not destroy the integrity of the saved data. Furthermore, with AIS-DS, the privacy of user's coded/decoded data is guaranteed even if the disk is physically handed by some other unwanted users.
12607701
An AIS-Based Service Match Model
Aiming at the problem that self-learning ability of the current system usually appears weak during service discovery, a novel artificial immune system (AIS) based service match model is proposed, which is based on the reference to the principles of cellpsilas mutation, evaluation and the quadratic response abilities, as well as simulation on the antibody-antigen identification mechanism. Theoretical analysis and simulations both show that the model can not only increasing the recall ratio and matching speed, but also realizing the function that deriving similar service request from known service request and then searching the best matching service. Furthermore, this service matching model is able to improve systempsilas adaptive learning, memorizing and dynamic evaluating abilities in service matching process.
11558298
Layer Key Management Scheme on Wireless Sensor Networks
Wireless sensor networks are open architectures, so any potential threat can easily intercept, wiretap and counterfeit the information. Therefore, the safety of WSN is very important. Since any single key system cannot guarantee the security of the wireless sensor network for communications, this paper introduces a hierarchical key management scheme based on the different abilities of different sensor nodes in the clustered wireless sensor network. In this scheme, the nodes are distributed into several clusters, and a cluster head must be elected for each cluster. Private communication between cluster heads is realized through the encryption system based on the identity of each head while private communication between cluster nodes in a same cluster head is achieved through the random key preliminary distribution system. For cluster head node plays a pivotal role in this scheme, a trust management system should be introduced into the election of the cluster head which will exclude the malicious node from outside the cluster, thus improve the whole network security.
20187054
Bit-Free Collision: Application to APOP Attack
This paper proposes a new variant of collisions on hash functions named bit-free collision , which can be applied to reduce the number of chosen challenges in password recovery attacks on hash-based challenge and response protocols, such as APOP (Authentication Post Office Protocol). In all previous APOP attacks, the attacker needs to impersonate the server and to send poisoned chosen challenges to the user. Impersonating the server takes a risk that the user may find out he is being attacked. Hence, it is important for the attacker to reduce the number of impersonation in order to lower the probability that the attack will be detected. To achieve this, reducing the number of chosen challenges is necessary. This paper is the first approach to improve previous APOP attacks based on this observation to our best knowledge. With t -bit-free collisions presented in this paper, the number of chosen challenges to recover each password character can be reduced by approximately a factor of 2 t . Though our attack utilizing t -bit-free collisions needs higher offline complexity than previous attacks, the offline computation can be finished in practical time if the attacker can obtain reasonable computation power. In this research, we generate 1-bit-free collisions on MD5 practically. As a result, the number of challenges for password recovery attacks on real APOP is approximately half reduced. Of independent interest, we apply the bit-free-collision attack on a simpler hash function MD4, and show that 3-bit-free collisions can be generated practically.
14386113
P2P Recommendation Trust Model
Security trust model is an important research topic for the P2P application. This paper firstly analyzes the existing P2P network security trust models, and then puts forward a new P2P recommendation trust model based on the network of social relationships. The model provides different types of services to show the userpsilas interest in different areas, and gives recommendation based on the interested area. Feedback mechanism and punishment mechanism have been used to improve the model. The simulation shows that the model can truly evaluate entity behavior and effectively isolated from malicious nodes.
21998790
NetTopo: Beyond Simulator and Visualizer for Wireless Sensor Networks
Deploying real WSN testbed provides a realistic testing environment, and allows users to get more accurate test results. However, deploying real testbed is highly constrained by the available budget when the test needs a large scale WSN environment. By leveraging the advantages of both simulators and real testbed, an approach that integrates simulation environment and testbed can effectively solve both scalability and accuracy issues. In this paper, we present NetTopo for providing both simulation and visualization functions to assist the investigation of algorithms in WSNs. Two case studies are described to prove the effectiveness of NetTopo.