PSS309: (Cybercrime) With reference to the article as well as other academic literature, examine what has and what has not changed since the article was written in terms of new technologies for cybercrime detection, investigation and prosecution.
Module / Subject / School:
PSS309: Cybercrime
Singapore University of Social Sciences (SUSS)
Requirements:Â
Read: Pallaras, S. (2011). New technology: opportunities and challenges for prosecutors. Crime, Law, and Social Change, 56(1), 71–89.
a) With reference to the article as well as other academic literature, examine what has and what has not changed since the article was written in terms of new technologies for cybercrime detection, investigation and prosecution.
(25 marks)
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This assignment is designed to assess students’ understanding of business practices.
To secure an A+ grade, adhere to these guidelines and make sure your work aligns with the grading criteria:
Step 1: Introduction (200-250 words)
Start by briefly introducing Pallaras’ article. Mention the key ideas it presents—specifically how new technologies were both opportunities and challenges for prosecutors at the time. Set the context by highlighting the rapid changes in technology since 2011 and why it’s important to review what has and hasn’t changed.
Step 2: What Has Changed (400-500 words)
Now, this is where you dive into what’s evolved since Pallaras’ article was published. There’s a lot to cover, but focus on:
- Advancements in Cybercrime Detection: Talk about developments like Artificial Intelligence (AI) and machine learning, which are now heavily used in detecting cyber threats and anomalies in data patterns. Explain how technologies like deep learning have made it easier to detect malware, phishing, and other forms of cyberattacks.
- Improvements in Digital Forensics: Explain how tools for digital forensics, like improved encryption cracking tools and faster data retrieval systems, have enhanced the ability to investigate cybercrimes. You could mention the growth of cloud forensics, which wasn’t a major focus in 2011 but is essential now given the proliferation of cloud computing.
- Increased Collaboration Tools: Highlight that since 2011, cross-border collaboration in cybercrime investigations has improved, with tools like INTERPOL’s Global Complex for Innovation and better international treaties that help countries work together on cybercrime cases.
Step 3: What Has Not Changed (400-500 words)
In this section, discuss what challenges still persist despite technological advancements.
- The Growing Complexity of Cybercrimes: While technology for detection and prosecution has improved, so has the sophistication of cybercriminals. You can talk about how encryption and anonymizing tools like VPNs and TOR have continued to evolve, making it challenging for law enforcement to track and identify criminals.
- Jurisdictional Issues: One thing that hasn’t changed is the issue of jurisdiction when it comes to prosecuting cybercrimes across borders. Despite improved collaboration, the legal frameworks haven’t caught up to the borderless nature of cybercrime. Pallaras mentioned this issue, and it remains a challenge today.
- Legal and Ethical Concerns: Technologies like AI bring their own set of ethical challenges. Discuss how the use of these tools in prosecution may raise questions about privacy and the potential for bias. While technology may have advanced, the legal and ethical frameworks around its use remain largely unchanged.
Step 4: Conclusion (150-200 words)
Summarize your key points by reflecting on how much progress has been made since 2011 but also acknowledging that many challenges remain. It’s important to conclude on a note that recognizes both the successes and ongoing difficulties in adapting to new technologies for cybercrime.
Step 5: Incorporating Academic Literature
Throughout your essay, make sure you’re referencing other academic literature to back up your claims. Pallaras’ article should be your foundation, but supplement it with more recent studies and articles. For instance, when talking about AI and machine learning in cybercrime detection, cite papers that discuss how effective these tools have been in practice.
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