Biblio

The mechanism for distributing information on the source of the attack by combining blockchain technology with the Intrusion Prevention System (IPS) can be done so that DDoS attack mitigation becomes more flexible, saves resources and costs. Also, by informing the blacklisted Internet Protocol(IP), each IPS can share attack source information so that attack traffic blocking can be carried out on IPS that are closer to the source of the attack. Therefore, the attack traffic passing through the network can be drastically reduced because the attack traffic has been blocked on the IPS that is closer to the attack source. The blocking of existing DDoS attack traffic is generally carried out on each IPS without a mechanism to share information on the source of the attack so that each IPS cannot cooperate. Also, even though the DDoS attack traffic did not reach the server because it had been blocked by IPS, the attack traffic still flooded the network so that network performance was reduced. Through smart contracts on the Ethereum blockchain, it is possible to inform the source of the attack or blacklisted IP addresses without requiring additional infrastructure. The blacklisted IP address is used by IPS to detect and handle DDoS attacks. Through the blacklisted IP distribution scheme, testing and analysis are carried out to see information on the source of the attack on each IPS and the attack traffic that passes on the network. The result is that each IPS can have the same blacklisted IP so that each IPS can have the same attack source information. The results also showed that the attack traffic through the network infrastructure can be drastically reduced. Initially, the total number of attack packets had an average of 115,578 reduced to 27,165.

Network slicing is considered a key enabler to 5th Generation (5G) communication networks. Mobile network operators may deploy network slices-complete logical networks customized for specific services expecting a certain Quality of Service (QoS). New business models like Network Slice-as-a-Service offerings to customers from vertical industries require negotiated Service Level Agreements (SLA), and network providers need automated enforcement mechanisms to assure QoS during instantiation and operation of slices. In this paper, we focus on ultra-reliable low-latency communication (URLLC). We propose a software architecture for security functions based on off-the-shelf hardware and open-source software and demonstrate, through a series of measurements, that the strict requirements of URLLC services can be achieved. As a real-world example, we perform our experiments using the intrusion prevention system (IPS) Snort to demonstrate the impact of security functions on latency. Our findings lead to the creation of a model predicting the system load that still meets the URLLC latency requirement. We fully disclose the artifacts presented in this paper including pcap traces, measurement tools, and plotting scripts at https://gallenmu.github.io/low-latency.

Security concerns for field-programmable gate array (FPGA) applications and hardware are evolving as FPGA designs grow in complexity, involve sophisticated intellectual properties (IPs), and pass through more entities in the design and implementation flow. FPGAs are now routinely found integrated into system-on-chip (SoC) platforms, cloud-based shared computing resources, and in commercial and government systems. The IPs included in FPGAs are sourced from multiple origins and passed through numerous entities (such as design house, system integrator, and users) through the lifecycle. This paper thoroughly examines the interaction of these entities from the perspective of the bitstream file responsible for the actual hardware configuration of the FPGA. Five stages of the bitstream lifecycle are introduced to analyze this interaction: 1) bitstream-generation, 2) bitstream-at-rest, 3) bitstream-loading, 4) bitstream-running, and 5) bitstream-end-of-life. Potential threats and vulnerabilities are discussed at each stage, and both vendor-offered and academic countermeasures are highlighted for a robust and comprehensive security assurance.

ASA systems (firewall, IDS, IPS) are probable to become communication bottlenecks in networks with growing network bandwidths. To alleviate this issue, we suggest to use Application-aware mechanism based on Deep Packet Inspection (DPI) to bypass chosen traffic around firewalls. The services of Internet video sharing gained importance and expanded their share of the multimedia market. The Internet video should meet strict service quality (QoS) criteria to make the broadcasting of broadcast television a viable and comparable level of quality. However, since the Internet video relies on packet communication, it is subject to delays, transmission failures, loss of data and bandwidth restrictions that may have a catastrophic effect on the quality of multimedia.

In this paper we propose ROS-Defender, a holistic approach to secure robotics systems, which integrates a Security Event Management System (SIEM), an intrusion prevention system (IPS) and a firewall for a robotic system. ROS-Defender combines anomaly detection systems at application (ROS) level and network level, with dynamic policy enforcement points using software defined networking (SDN) to provide protection against a large class of attacks. Although SIEMs, IPS, and firewall have been previously used to secure computer networks, ROSDefender is applying them for the specific use case of robotic systems, where security is in many cases an afterthought.

Nowadays due to economic reasons most of the semiconductor companies prefer to outsource the manufacturing part of their designs to third fabrication foundries, the so-called fabs. Untrustworthy fabs can extract circuit blocks, the called intellectual properties (IPs), from the layouts and then pirate them. Such fabs are suspected of hardware Trojan (HT) threat in which malicious circuits are added to the layouts for sabotage objectives. HTs lead up to increase power consumption in HT-infected circuits. However, due to process variations, the power of HTs including few gates in million-gate circuits is not detectable in power consumption analysis (PCA). Thus, such circuits should be considered as a collection of small sub-circuits, and PCA must be individually performed for each one of them. In this article, we introduce an approach facilitating PCA-based HT detection methods. Concerning this approach, we propose a new logic locking method and algorithm. Logic locking methods and algorithm are usually employed against IP piracy. They modify circuits such that they do not correctly work without applying a correct key to. Our experiments at the gate level and post-synthesis show that the proposed locking method and algorithm increase the proportion of HT activity and consequently HT power to circuit power.

The new generation ship integrated power system (IPS) realizes high level informatization for various physical equipments, and gradually develops to a cyber-physical system (CPS). The future trend is collecting ship big data to achieve data-driven intelligence for IPS. However, traditional relational data management framework becomes inefficient to handle the real-time data processing in ship integrated power cyber-physics system. In order to process the large-scale real-time data that collected from numerous sensors by field bus of IPS devices within acceptable latency, especially for handling the semi-structured and non-structured data. This paper proposes a novel key-value data model based real-time data management framework, which enables batch processing and distributed deployment to acquire time-efficiency as well as system scalable. We implement a real-time data management prototype system based on an open source in-memory key-value store. Finally, the evaluation results from the prototype verify the advantages of novel framework compared with traditional solution.

Intrusion Prevention System (IPS) is a tool for securing networks from any malicious packet that could be sent from specific host. IPS can be installed on SDN network that has centralized logic architecture, so that IPS doesnt need to be installed on lots of nodes instead it has to be installed alongside the controller as center of logic network. IPS still has a flaw and that is the block duration would remain the same no matter how often a specific host attacks. For this reason, writer would like to make a system that not only integrates IPS on the SDN, but also designs an adaptive IPS by utilizing a fuzzy logic that can decide how long blocks are based on the frequency variable and type of attacks. From the results of tests that have been done, SDN network that has been equipped with adaptive IPS has the ability to detect attacks and can block the attacker host with the duration based on the frequency and type of attacks. The final result obtained is to make the SDN network safer by adding 0.228 milliseconds as the execute time required for the fuzzy algorithm in one process.

Wireless sensor network is a low cost network to solve many of the real world problems. These sensor nodes used to deploy in the hostile or unattended areas to sense and monitor the atmospheric situations such as motion, pressure, sound, temperature and vibration etc. The sensor nodes have low energy and low computing power, any security scheme for wireless sensor network must not be computationally complex and it should be efficient. In this paper we introduced a secure routing protocol for WSNs, which is able to prevent the network from DDoS attack. In our methodology we scan the infected nodes using the proposed algorithm and block that node from any further activities in the network. To protect the network we use intrusion prevention scheme, where specific nodes of the network acts as IPS node. These nodes operate in their radio range for the region of the network and scan the neighbors regularly. When the IPS node find a misbehavior node which is involves in frequent message passing other than UDP and TCP messages, IPS node blocks the infected node and also send the information to all genuine sender nodes to change their routes. All simulation work has been done using NS 2.35. After simulation the proposed scheme gives feasible results to protect the network against DDoS attack. The performance parameters have been improved after applying the security mechanism on an infected network.

This paper presents a wireless intrusion prevention tool for distributed denial of service attacks DDoS. This tool, called Wireless Distributed IPS WIDIP, uses a different collection of data to identify attackers from inside a private network. WIDIP blocks attackers and also propagates its information to other wireless routers that run the IPS. This communication behavior provides higher fault tolerance and stops attacks from different network endpoints. WIDIP also block network attackers at its first hop and thus reduce the malicious traffic near its source. Comparative tests of WIDIP with other two tools demonstrated that our tool reduce the delay of target response after attacks in application servers by 11%. In addition to reducing response time, WIDIP comparatively reduces the number of control messages on the network when compared to IREMAC.

A system implementing real-time situational awareness through discovery, prevention, detection, response, audit, and management capabilities is seen as central to facilitating the protection of critical infrastructure systems. The effectiveness of providing such awareness technologies for electrical distribution companies is being evaluated in a series of field trials: (i) Substation Intrusion Detection / Prevention System (IDPS) and (ii) Security Information and Event Management (SIEM) System. These trials will help create a realistic case study on the effectiveness of such technologies with the view of forming a framework for critical infrastructure cyber security defense systems of the future.