A Secure Access Control System

We, three students from the TU Delft, have created a new Secure Access Control System, named Glados. The goal of this system is to limit the access to a building, and separate 'zones' in that building, to authorized persons only. In 10 weeks, we created a prototype that can read an authentication token, and react with the permission from a...

Understanding Security and Privacy Characteristics ofHybrid-based IP-ICN Coexistence Architectures

Information-centric Networking (ICN) is the revolution of the internet due to its many benefit over the current internet infrastructure, namely caching, location-independent routing, and data-centric security. ICN ensures seamless data transfer due to its content-centric nature. Due to its content-centric nature, it is a must to ensure that...

Blockchain-based DNS and PKI to solve issues of trust, security and censorship in the context of the IoT

The domain name system (DNS) and public key infrastructure (PKI) provide the core services for the Internet. The use of these systems requires trust in institutions to provide proper services, which they can fail to provide. Centralized management allows these institutions to perform censorship. Additionally, these legacy systems have seen...

A Survey on the Privacy-Preserving Applications of Secure Transformation in Collaborative Supply Chains

Collaboration is a key technique in modern supply chains, both for building trust with other companies, but also for reducing costs or maximizing profits. It is an approach which provides all involved parties with benefits that they could not possibly achieve on their own. Collaboration, however, requires abundant information, including...

An overview of hybrid approaches in Horizontal Federated Learning

Federated Learning starts to give a new perspective regarding the applicability of machine learning in real-life scenarios. Its main goal is to train the model while keeping the participants' data in their devices, thus guaranteeing the privacy of their data. One of the main architectures is the Horizontal Federated Learning, which is the most...

Blockchain-based frameworks for mitigating DDoS and Sybil attacks in the IoT

With the growing scale of the IoT, many industries enjoy the benefit of automation. The IoT consists of an interconnected network of devices that sense their surroundings and share data among other IoT devices. However, this data can be sensitive and private in nature, making security within the ever-growing IoT network a high priority. Because...

Security and Privacy of Overlay-based ICN/IPCoexistence Approaches

Information-Centric Networking (ICN) is a networking paradigm proposed to replace the current IP network. It uses in-network caching to enhance availability. However, as a clean slate approach is unlikely to work, an architecture that allows for the two paradigms to coexist needs to me used to facilitate the transition. Several such...

Security Evaluation of GoQuorum-based Smart Contracts: A Case Study of Malfunctioning Access Control and Double-Spending

GoQuorum is an enterprise blockchain platform that supports smart contracts and allows for private transactions. Smart contracts enable automated payment while eliminating the need for third-party involvement. Previous attacks on smart contracts have already shown that existing vulnerabilities can lead to great financial losses. Yet, a study...

Using Self-Encryption to safeguard data security in Fabric’s smart contract

A rise in the use of blockchain systems implies an increase in smart contract usage. Blockchain systems can easily be found these days, most notably in cryptocurrencies and financial management. Furthermore, the Internet of Things (IoT) is being developed with blockchain, since blockchain ensures trust in IoT data and adds great flexibility....

ID-based self-encryption via Hyperledger Fabric based smart contract

This paper offers a prototype of a smart-contract-based encryption scheme meant to improve the security of user data being uploaded to the ledger. A new extension to the self-encryption scheme was introduced by integrating identity into the encryption process. Such integration allows to permanently preserve ownership of the original file and...

Study the impact of topology-related attacks in Software Defined Network

The Software Defined Network (SDN) is a relatively new paradigm that aims to tackle the lack of centralization in the existing network by separating the control centre from the programming data plane. The controller keeps an overview of the structure of the whole network, which makes it vulnerable to possible topology poisoning attacks. Topology...

Machine Learning-based Techniques for Secure and Efficient IoT Data Management

The dramatic increase in the number of Internet of Things (IoT) devices has created rapid growth for exploitation of security flaws and vulnerabilities. Particularly for critical infrastructure and real-time systems security threats can be highly damaging. Machine Learning (ML) algorithms have demonstrated the ability to combat the security...

Mitigating IoT data management security concerns through blockchain and machine learning based solutions: Study and Conceptual Design

The Internet of Things industry is expanding rapidly. However, many security breaches occur, and privacy is often at stake in traditional IoT networks. These centralized systems will not be able to cope with dynamically changing environments. In light of these risks, it is crucial to prevent and minimize the chances of attacks occurring....