Data Privacy Management, Autonomous Spontaneous Security, and Security Assurance

Abstract

Abstract. Present malicious threats have been consolidated in past few years by incorporating diverse stealthy techniques. Detecting these malwares on the basis of their dynamic behavior has become a potential approach as it suppresses the shortcomings of static approaches raised due to the obfuscated malware binaries. Additionally, existing behavior based malware detection approaches are resilient to zero-day malware attacks. These approaches rely on isolated analysis environment to monitor and capture the run-time malware behavior. Malware bundled with environment-aware payload may degrade detection accuracy of such approaches. These malicious programs detect the presence of execution environment and thus inspite of having their malicious payload they mimic a benign behavior to avoid detection. In this paper, we have presented an approach using system-calls to identify a malware on the basis of their malignant and environment-reactive behavior. The proposed approach offers an automated screening mechanism to segregate malware samples on the basis of aforementioned behaviors. We have built a decision model which is based on multi-layer perceptron learning with back propagation algorithm. Our proposed model decides the candidacy of a sample to be put into one of the four classes (clean, malignant, guest-crashing and infinite-running). Clean behavior denotes benign sample and rest of the behaviors denote the presence of malware sample. The proposed technique has been evaluated with known and unknown instances of real malware and benign programs.

User perception of Bitcoin usability and security across novice users

“…Bitcoin, on the other hand, is less cumbersome as the transaction is carried out directly between users with no involvement of a third party or external agency (Herrera-joancomart, 2015). According to its founder, (Nakamoto, 2008), Bitcoin gained immense popularity due to its high level of perceived security.…”

“…In order to increase financial privacy, owners can generate new addresses for each Bitcoin transaction (Brito & Castillo, 2013). Each transaction requires a single passphrase, which could help in tracking all transactions made by a single owner (Herrera-joancomart, 2015). This helps in securing the user's identity as the public is unable to identify which transactions are made.…”

Blockchain supported BIM data provenance for construction projects

“…Provenance can be created by software in a specific physical, digital or application resource or can refer to an audit process that is operated on data created purely for the provenance information (Shetty et al, 2017). As such, the establishment of trust and confidence around data artefacts is ensured through the use of data-provenance systems (Garcia-Alfaro et al, 2015). Such systems provide information on different stages ranging from data creation and updates alongside the parties that have initiated the process and the origin of the data at different stages of the life cycle including the alteration of the data with the actors involved.…”

A Big Data Security Layer Meta-Model Proposition

“…A-PPL [50] is a policy language for expressing accountability obligations. A-PPL can be used for privacy management policies, access control, and usage control policies.…”