LLMs Unlock New Paths to Monetizing Exploits

We argue that Large language models LLMs will soon alter the economics of cyberattacks. Instead of attacking the most commonly used software and monetizing exploits by targeting the lowest common denominator among victims, LLMs enable adversaries to launch tailored attacks on a user-by-user basis...

RiM: Record, Improve and Maintain Physical Well-Being Using Federated Learning

In academic settings, the demanding environment often forces students to prioritize academic performance over their physical well-being. Moreover, privacy concerns and the inherent risk of data breaches hinder the deployment of traditional machine learning techniques for addressing these health...

Large Language Model-Driven Security Assistant for Internet of Things Via Chain-Of-Thought

The rapid development of Internet of Things IoT technology has transformed people's way of life and has a profound impact on both production and daily activities. However, with the rapid advancement of IoT technology, the security of IoT devices has become an unavoidable issue in both research an...

Privacy Preserving Machine Learning Model Personalization through Federated Personalized Learning

The widespread adoption of Artificial Intelligence AI has been driven by significant advances in intelligent system research. However, this progress has raised concerns about data privacy, leading to a growing awareness of the need for privacy-preserving AI. In response, there has been a seismic...

Graph Privacy: a Heterogeneous Federated GNN for Trans-Border Financial Data Circulation

The sharing of external data has become a strong demand of financial institutions, but the privacy issue has led to the difficulty of interconnecting different platforms and the low degree of data openness. To effectively solve the privacy problem of financial data in trans-border flow and sharin...

AI-Generated Content: How Cybercriminals Are Using It for Phishing Scams

AI-generated content is empowering even novice hackers to elevate phishing attacks, enabling highly personalized and convincing scams targeting…...

AI-supported spear phishing fools more than 50% of targets

One of the first things everyone predicted when artificial intelligence AI became more commonplace was that it would assist cybercriminals in making their phishing campaigns more effective. Now, researchers have conducted a scientific study into the effectiveness of AI supported spear phishing, a...

Top Tips for Weather API Integration and Data Utilization

Integrate weather APIs to enhance your app with real-time data, forecasts, and personalized insights. Improve user experience while…...

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Pinterest tracks users without consent, alleges complaint

Pinterest has received a complaint from privacy watchdog noyb None of your business over the unsolicited tracking of its users. Pinterest allows you to pin images to virtual pinboards; useful for interior design, recipe ideas, party inspiration, and much more. It started as a virtual replacement...

LinkedIn bots and spear phishers target job seekers

Microsoft's social network for professionals, LinkedIn, is an important platform for job recruiters and seekers alike. It's also a place where criminals go to find new potential victims. Like other social media platforms, LinkedIn is no stranger to bots attracted to special keywords and hashtags...

E.U. Court Limits Meta's Use of Personal Facebook Data for Targeted Ads

Europe's top court has ruled that Meta Platforms must restrict the use of personal data harvested from Facebook for serving targeted ads even when users consent to their information being used for advertising purposes, a move that could have serious consequences for ad-driven companies operating ...

Meta Given Deadline to Address E.U. Concerns Over 'Pay or Consent' Model

Meta has been given time till September 1, 2024, to respond to concerns raised by the European Commission over its "pay or consent" advertising model or risk-facing enforcement measures, including sanctions. The European Commission said the Consumer Protection Cooperation CPC Network has notified...

LoLLMs Cross-Site Request Forgery Vulnerability

LoLLMs is a Web UI for a large language multimodal system by the individual developer Saifeddine ALOUI. A cross-site request forgery vulnerability exists in LoLLMs version v9.6, which stems from the use of a GET request to clear a list of personalized files that lacks proper cross-site request...

The Future of Phishing Email Training for Employees in Cybersecurity

By Waqas Discover the future of phishing email training, including personalized simulations, gamification, AI, and realistic scenarios. Empower your employees to combat evolving cyber threats and protect your organization. This is a post from HackRead.com Read the original post: The Future of...

How to Opt Out of Comcast’s Xfinity Storing Your Sensitive Data

One of America’s largest internet providers may collect data about your political beliefs, race, and sexual orientation to serve personalized ads...

Adobe Real-Time CDP: Personalized Customer Experience

By Owais Sultan In the current high-tech age, consumer data is a businesss most important asset as they progressively shifts towards… This is a post from HackRead.com Read the original post: Adobe Real-Time CDP: Personalized Customer Experience...

Google's New Tracking Protection in Chrome Blocks Third-Party Cookies

Google on Thursday announced that it will start testing a new feature called "Tracking Protection" starting January 4, 2024, to 1% of Chrome users as part of its efforts to deprecate third-party cookies in the web browser. The setting is designed to limit "cross-site tracking by restricting websi...

Meta sued over forcing users to pay to stop tracking

Meta is required to get users’ consent in Europe in order to show them targeted ads. For this reason, Meta has to provide European users with a way to opt out of behavioral advertising or face fines totalling $100,000 a day. Behavioral advertising are ads tailored to someone’s browsing habits and...