Data anomalies in Machine Learning (ML) can pose significant challenges to the accuracy and reliability of models. Detecting and mitigating these anomalies are crucial processes for managing ML models and their applications. Data anomalies can arise from a variety of factors that are essential for data scientists and knowledge workers to handle: Human errors Feature inaccuracy Dataset…
As hackers, we are often faced with the hurdle of cryptography and encryption. Every cyber security engineer worth their pocket protector understands that encryption make the hacker/attacker’s task much more difficult. In some cases it may be useful to the hacker, to hide actions and messages. Many applications and protocols use encryption to maintain confidentiality…
Digital forensics is rapidly growing field of information security. The hacker needs to understand what evidence can be recovered and the security engineer needs to know how to find it. These skills are applicable to law enforcement, corporate investigations, network intrusions, malware analysis and incident response, among many others. No matter what area of information…
