Abstract: In Cyber-Physical Networked Systems (CPNS), the antagonist can inject false measurements into the controller through compromised sensor nodes, which not only threaten the security of the system, but also consume network resources. To deal with this issue, a number of en-route filtering schemes have been designed for wireless sensor networks. However, these schemes either lack resilience to the number of compromised nodes or depend on the statically configured routes and node localization, which are not suitable for CPNS. In this research, we propose a system, which can filter false inoculated data effectively and achieve a high resilience to the number of compromised nodes without relying on static routes and node localization. This adopts polynomials instead of Message Authentication Codes (MACs) for endorsing measurement reports to achieve resilience to attacks. Each node stores two types of polynomials: authentication polynomial and check polynomial, derived from the primitive polynomial, and used for recommending and verifying the measurement reports. Through extensive theoretical analysis and experiments, our data shows that our system will achieves better filtering capacity and resilience to the large number of compromised nodes in appraisal to the existing schemes. The Polynomial based Compromise Resilient En-route Scheme against False Data Attacks Networked Systems done by using OM Net Simulator.
Key Words: Cyber-physical networked system, data injection
For the task I have chosen Next Plc. It is a British apparel, footwear and home products retailer. According to the Company’s official website, it has around 700 stores in the UK and about 200 stores worldwide (Next Plc: At a glance, 2016). The Company is listed on the London Stock Exchange and is a member of the FTSE 100 Index.
Electronic technology is growing at a rapid rate; more devices are made mobile and wireless, but with those improvement and developments come flaws and malicious opportunities. Cyber attacks are on the rise and no system or device is immune. Many organizations employ multiple layers of firewalls but that doesn’t completely eliminate the threat. Attacks against firewalls and virtual private networks or VPNs are constantly being exploited with new methods everyday, but they are yet another obstacle that a cyber criminal must overcome.
3) Secure data aggregation: Fine grain sensing is one of the important compensation of a wireless sensor network which is provided by the large and dense sets of nodes .So to avoid overwhelming amounts of traffic, the sensed values must be aggregated and the aggregation may take place in many places in the network depending on the architecture of the wireless sensor network. For example, the system may average the temperature of a geographic region, combine sensor values to compute the location and velocity of a moving object, or aggregate data to avoid false alarms in real-world event detection. All aggregation locations must be secured [8].
Undoubtedly, this paper will generate network information, diagrams, and/or tables; accordingly, these are all included in the Appendix section of the paper. Moreover, the training, vulnerability assessment, and SAQ results are also included as an Appendix in the final paper. Finally, fearing disclosure of proprietary information that could compromise network security, all project data are scrubbed and sanitized to remove sensitive information.
A node with the best behavior is assigned with the highest trust value e.i. 2, the nodes detected with the malicious behavior is assigned with the trust value < 0.5. The road side units (RSUs) are updated with the calculated trust values. Here, attacks related to the Link layer and physical layer are not considered. Instead, we have route trust values of the nodes and total number of nodes. Main advantage of the system is that malicious nodes are isolated from taking part in the network communication as we consider only most trustworthy node in the network.
The Pontiac, Michigan plant utilizes an internet protocol (IP) wide area network to transmit data to and receive it from the San Jose (headquarters) and to the manufacturing floor. In order to protect the data from eavesdropping, the first line of defense is to encrypt the data. There are a myriad of encryption tools to accomplish this. Next, Riordan must protect the network from intrusion. To accomplish this, the Pontiac plant
Ju young Kim et.al (2012) presented in their paper “A Review of the Vulnerabilities and Attacks for Wireless Sensor Networks” about the investigation of the distinctive vulnerabilities, threats and attacks for Wireless Sensor Networks. Viable administration of the
1. Abstract: Wireless sensor networks is growing rapidly over the few decades. Due to its flexibility, wireless sensor networks has been in practice in many areas. Among various wireless networks, Mobile Ad hoc networks has been one of the unique network. Unlike other network architectures, MANETs have no central architecture; every node is free to work both as a transmitter and receiver. Every single node can communicate freely with every other node which is in their communication range. Otherwise, it depends on neighboring nodes to relay messages. Due to this nature, MANETs are used in many missionary applications like health care, military use and emergency recovery. However the wide distribution of MANETs makes it vulnerable to malicious attacks. Hence it is necessary to design a secure system for MANETs. In this paper we implement a secure system named Enhanced Adaptive Acknowledgement especially for MANETs. To ensure higher security and reduce the network overhead, we use a different approach called hybrid cryptography in our proposed scheme. Enhanced Adaptive Acknowledgment detects higher malicious attackers without greatly disturbing the network performances. We compare the differences within the Enhanced Adaptive Acknowledgment before and after introducing the Hybrid cryptography approach
The exponential increase use of the Internet to communicate, conduct business transactions, access personal banking, healthcare, education at confront of being anywhere has become an everyday lifestyle for many people around the globe. This reliance on computers, laptops, devices and other Internet of Things to access the Internet means, organizations, businesses and the government have also seen an increase occurrence of sophisticated attacks.
Today, security devices such as Firewall, IDS are used on the many organization's networks for preventing security attacks. But, these devices can only diagnose illegitimate traffic and prevent it. They cannot prevent attacks which are as a result of the network devices vulnerabilities in the switches, routers, and etc. A malicious user who is within the network can implement many attacks by using these vulnerabilities. This paper explains the kind of existing vulnerabilities in Cisco switches and methods of preventing these attacks from
Moreover, it is important to note that while cryptography is necessary for secure communications, this report is not by itself sufficient. The reader is advice then, that the topics covered in this paper only describe the first of the many steps necessary for better security in a number of situations.
Cyber Physical Systems research has garner support from several sectors within the public and private sector. NITRD has supported CPS SSG ( Senior Steering Groups) that supports Research and development (R&D), budgets , policy endorsements, Joint planning program, and training CPS works in coordination with academia. Other activities perform with CP SSG is recommendation for Federal CPS R&D priorities. CPS coordinate with other NITRD units such as PCAs IWGS and CGs on similar matters.
In this paper, we will look into three topics: connectivity, Menger 's theorem, and network flows to further understand the application of connectivity such as network systems. In graph theory, connectivity is an important topic and can be applied to many different areas. By considering the connectivity of the graph(network system map), we will be able to see clearly the problems of the graph(the system), such as low-connectivity that may lead to the vulnerability of an attack. Once we know the properties of the graph(the system), we can determine or change how the graph is or should be.
Physical media is what physically connects the computers connected on the internet. For this network two physical media will be used to allow access to the application layers of the system. The coaxial cables will be used to create a WAN. While a wireless protocol will be used in allowing users to roam within the network. A LAN will be represented as follows;
For that reason, it is vital to consider network coverage and energy consumption in the design of WSN layouts.