Robot swarms could greatly benefit from shared knowledge. Decisions could be based on a shared view of the world. The ARGoS robot simulator is the state-of-the-art research platform to conduct simulations in swarm robotics. Each robot acts as an Ethereum blockchain node, maintaining a custom Ethereum network. The interface is intended to facilitate research in blockchain-based robot swarms by allowing Ethereum functions in ARGoS.

Crime mapping is done by analysts in law enforcement agencies to map, visualize, and analyze and correlate data sources to create a detailed picture of crime incidents and related factors within a community or other geographical area.  It is a key component of crime analysis and the CompStat policing strategy. Here I've explained Digital crime mapping with Cyber Acts.

In order to delve as deeply as possible into a mobile device for your forensic investigation, you may need to access the device’s contents on a physical level—creating and sorting through a raw data dump of the smartphone’s NAND or NOR flash memory chips. There are many tools and techniques which allow forensic investigators to obtain this level of access, even if the smartphone is locked. 

Machine Learning algorithms enable the investigators to interrogate the vast scattered data sets which are placed in social and wired networks and web or cloud computing. Its pattern recognition software is used to analyze huge amounts of data that are used to predict its current & future behavior. ML Forensics gains the capability to recognize the patterns of criminal activities through ML algorithms, in order to learn from the historical data about when and where the crime will take place.

The latest craze of content sharing suits VR as users can cohabit Virtual Environment and contribute content unique to immersion. When placed in an immersive VR environment, the user's view is completely obstructed from the real world due to the Head Mounted Display. Complete immersion into VR amplifies the consequences of cyberbullying and sexual harassment, where the misconduct “feels all too real”.

Malware analysis is the process of learning how malware functions and any potential repercussions of a given malware. Malware code can differ radically, and it's essential to know that malware can have many functionalities. These may come in the form of viruses, worms, spyware, and Trojan horses. Each type of malware gathers information about the infected device without the knowledge, or authorization of the user.

The approach of autonomous systems used in forensics has focused mainly on the collection of evidence, and very little time has been spent on how to effectively and efficiently examine, analyze, and arrive at a decision based on the evidence identified. Behavioral analysis has been used to support conventional criminal investigations very successfully.

Digital forensics (sometimes known as digital forensic science) is a branch of forensic science encompassing the recovery and investigation of material found in digital devices, often concerning computer crime. Since digital devices such as computers are vulnerable to attack by criminals, digital forensics is increasing in importance & giving a requirement to the establishment of Digital Forensics Labs.

Protecting digital assets requires the right tools and processes for the security team to handle the workload efficiently. This is becoming a greater challenge as the volume and seriousness of threats continue to grow. So, how can a security team offer the most robust protection and efficiently react to serious threats, despite being inundated by false alarms? This is the realm of security orchestration, automation and response (SOAR).

This podcast is about the latest technology that efficiently manages the containerized workloads & services. Managing containerized applications, their automation with greater modularity. Security measures that are required to be implemented.  Download: https://github.com/kubeless/kubeless/releases