Despite the increased accuracy of intrusion detection systems (IDS) in identifying cyberattacks in computer networks and devices connected to the internet, distributed or coordinated attacks can still go undetected or not detected on time. The single vantage point limits the ability of these IDSs to detect such attacks. Due to this reason, there is a need for attack characteristics’ exchange among different IDS nodes. Researchers proposed a cooperative intrusion detection system to share these attack characteristics effectively. This approach was useful; however, the security of the shared data cannot be guaranteed. More specifically, maintaining the integrity and consistency of shared data becomes a significant concern. In this paper, we propose a blockchain-based solution that ensures the integrity and consistency of attack characteristics shared in a cooperative intrusion detection system. The proposed architecture achieves this by detecting and preventing fake features injection and compromised IDS nodes. It also facilitates scalable attack features exchange among IDS nodes, ensures heterogeneous IDS nodes participation, and it is robust to public IDS nodes joining and leaving the network. We evaluate the security analysis and latency. The result shows that the proposed approach detects and prevents compromised IDS nodes, malicious features injection, manipulation, or deletion, and it is also scalable with low latency.
more »
« less
Consortium Blockchain-Based Architecture for Cyber-attack Signatures and Features Distribution
One of the effective ways of detecting malicious traffic in computer networks is intrusion detection systems (IDS). Though IDS identify malicious activities in a network, it might be difficult to detect distributed or coordinated attacks because they only have single vantage point. To combat this problem, cooperative intrusion detection system was proposed. In this detection system, nodes exchange attack features or signatures with a view of detecting an attack that has previously been detected by one of the other nodes in the system. Exchanging of attack features is necessary because a zero-day attacks (attacks without known signature) experienced in different locations are not the same. Although this solution enhanced the ability of a single IDS to respond to attacks that have been previously identified by cooperating nodes, malicious activities such as fake data injection, data manipulation or deletion and data consistency are problems threatening this approach. In this paper, we propose a solution that leverages blockchain’s distributive technology, tamper-proof ability and data immutability to detect and prevent malicious activities and solve data consistency problems facing cooperative intrusion detection. Focusing on extraction, storage and distribution stages of cooperative intrusion detection, we develop a blockchain-based solution that securely extracts features or signatures, adds extra verification step, makes storage of these signatures and features distributive and data sharing secured. Performance evaluation of the system with respect to its response time and resistance to the features/signatures injection is presented. The result shows that the proposed solution prevents stored attack features or signature against malicious data injection, manipulation or deletion and has low latency.
more »
« less
- Award ID(s):
- 1818884
- NSF-PAR ID:
- 10165163
- Date Published:
- Journal Name:
- 10th IEEE Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON)
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
More Like this
-
-
Programming Protocol-independent Packet Processors (P4) is an open-source domain-specific language to aid the data plane devices in programming packet forwarding. It has a variety of constructs optimized for this purpose. With P4, one can program ASICs, PISA chips, FPGAs, and many network devices since the language constructs allow true independence in some aspects that OpenFlow could not support. However, there are some challenges facing this technology. The first challenge is that P4 does not account for malicious traffic detection in the data plane pipeline. 2. The controllers have no secure medium of attack signature exchange. This ongoing work presents a multichain solution for detecting malicious traffic and exchanging attack signatures among controllers. This architecture uses an Artificial Immune System (AIS) based Intrusion Detection System (IDS), which runs on a distributed blockchain network, to introspect the P4 data plane to analyze and detect anomaly traffic flows. This IDS resides on the SideChain smart contracts and constantly monitors the traffic flow at the data planes based on introspection. Once malicious traffic is detected on any SideChain, the signatures are extracted and passed through the signature forwarding node to the MainChain for real-time storage. The malicious signatures are sent to all controllers via the mainchain network. We minimize the congestion the solution can cause to the P4 network by utilizing a load balancer to serve the SideChain. To evaluate the performance, we evaluate the False Positive Rate (FPR), Detection Rate (DR), and Accuracy (ACC) of the IDS. We also compute the execution time, performance overhead, and scalability of the proposed solution.more » « less
-
null (Ed.)Blockchain technology has recently gained high popularity in data security, primarily to mitigate against data breach and manipulation. Since its inception in 2008, it has been applied in different areas mainly to maintain data integrity and consistency. Blockchain has been tailored to secure data due to its data immutability and distributive technology. Despite the high success rate in data security, the inability to identify compromised insider nodes is one of the significant problems encountered in blockchain architectures. A Blockchain network is made up of nodes that initiate, verify and validate transactions. If compromised, these nodes can manipulate submitted transactions, inject fake transactions, or retrieve unauthorized information that might eventually compromise the stored data's integrity and consistency. This paper proposes a novel method of detecting these compromised blockchain nodes using a server-side authentication process and thwart their activities before getting updated in the blockchain ledger. In evaluating the proposed system, we perform four common insider attacks, which fall under the following three categories: (1)Those attacks targeting the Blockchain to bring it down. (2) the attacks that attempt to inject fake data into the database. (3) The attacks that attempt to hijack or retrieve unauthorized data. We described how we implement the attacks and how our architecture detects them before they impact the network. Finally, we displayed the attack detection time for each attack and compared our approach with other existing methods.more » « less
-
Code Reuse Attacks (CRAs) are dangerous exploitation strategies that allow attackers to compose malicious programs out of existing application and library code gadgets, without requiring code injection. Previously, researchers explored hardware-assisted protection schemes that track attack signa- tures to identify malicious behavior. This paper makes two main contributions. First, we show that previously proposed signature-based schemes are impractical because they do not always distinguish attack patterns from the behavior of benign programs. Second, we demonstrate that instead of tracking attack signatures, a more robust defense mechanism is to track legitimate usage of system calls and ABI compliance in hard- ware, and detect deviations from established conventions as possible attacks. We propose two specific tracking mecha- nisms: the setting of arguments for system calls and register usage across function calls. We demonstrate that our solution severely hinders practical CRAs and completely stops code- reuse execution of sensitive system calls like mprotect. Our solution imposes very low performance overhead and modest design complexity.more » « less
-
null (Ed.)Collaborative intrusion detection system (CIDS) shares the critical detection-control information across the nodes for improved and coordinated defense. Software-defined network (SDN) introduces the controllers for the networking control, including for the networks spanning across multiple autonomous systems, and therefore provides a prime platform for CIDS application. Although previous research studies have focused on CIDS in SDN, the real-time secure exchange of the detection relevant information (e.g., the detection signature) remains a critical challenge. In particular, the CIDS research still lacks robust trust management of the SDN controllers and the integrity protection of the collaborative defense information to resist against the insider attacks transmitting untruthful and malicious detection signatures to other participating controllers. In this paper, we propose a blockchain-enabled collaborative intrusion detection in SDN, taking advantage of the blockchain’s security properties. Our scheme achieves three important security goals: to establish the trust of the participating controllers by using the permissioned blockchain to register the controller and manage digital certificates, to protect the integrity of the detection signatures against malicious detection signature injection, and to attest the delivery/update of the detection signature to other controllers. Our experiments in CloudLab based on a prototype built on Ethereum, Smart Contract, and IPFS demonstrates that our approach efficiently shares and distributes detection signatures in real-time through the trustworthy distributed platform.more » « less
- Free Publicly Accessible Full Text
-
Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.1109/UEMCON47517.2019.8993036
