Original title: From Hypervisor to Container: Cloud Security Vulnerabilities, Defense Mechanisms, and Open Challenges
Swapnil Vishwas Baviskar, Sanoj R, Hiran V Nath · September 2026
Cloud computing lets different people share the same physical computers. To keep data safe, systems run software inside virtual boundaries called virtual machines and containers, which act like separate digital boxes. But these boundaries can break. Researchers studied over 120 security papers published between 2008 and 2025 to see how attackers break out. They looked at threats like virtual machine escapes, container breakouts, and hidden CPU side channels. They discovered that protecting these systems is tricky because stronger defenses usually slow computers down. The authors built a scoring system to grade defenses on their accuracy, setup ease, performance impact, and daily operational overhead. They also mapped attack severity and pointed out open challenges, like building realistic test datasets and creating intrusion detection tools that do not cause heavy slowdowns.
Imagine a shared apartment building where each tenant has their own locked room. The landlord promises that no one can enter another's room. But tenants find ways to peek through keyholes, listen through walls, or even break through the locks. Here, the building is a cloud server, the rooms are virtual machines or containers, and the attacks are the methods tenants use to breach isolation. The paper reviews all known tricks and rates how well different locks and alarms work.
Anyone using cloud services shares hardware with strangers. This paper catalogues how that sharing can leak data or crash systems, and introduces a way to compare defenses by accuracy, ease, performance cost, and overhead. It shows that stronger security often slows things down, and points to unsolved problems like detecting intrusions without bogging down the system.
This is a survey, not a set of new experiments. The ADPO scoring framework is proposed but not validated against real-world deployments. The severity mapping is based on the authors' analysis, not empirical measurement. The paper identifies open challenges but does not provide solutions. The review covers publications up to 2025, so newer threats may not be included.
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From Hypervisor to Container: Cloud Security Vulnerabilities, Defense Mechanisms, and Open Challenges — Swapnil Vishwas Baviskar, Sanoj R, Hiran V Nath
Abstract licence: CC0
Explanation generated by Synthesis from the abstract — it is not the original paper. This is a preprint, so it hasn't necessarily been peer reviewed.